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The Ultimate AI Agency Masterclass (6+ HOUR FREE COURSE)

Liam Ottley · 90,729 words · 413 min read

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The AI Opportunity

0:00By far the easiest business to start

0:01right now needs no products, no fancy

0:04marketing, and no coding skills. It's

0:06not drop shipping, it's not social media

0:07marketing, and it's not crypto either.

0:10It's helping normal businesses to

0:12understand and use AI tools like CHBT.

0:15And this is exactly why billionaires

0:17like Kevin Oly and Mark Cuban say that

0:19it's the first business they would start

0:21right now if they were starting again

0:23from zero. I think everything is looking

0:25at AI now. I would go to businesses

0:28because businesses don't understand AI

0:30yet. And I know this works because I've

0:32done it. It was two years ago where I

0:34was like where many of you are right

0:35now, no AI experience, no degree, and

0:39just curious about AI and wanting a

0:41better life for myself. And since then,

0:42I've built multiple different AI

0:44businesses that are on track to generate

0:46$10 million in revenue this year. And

0:48I've created at the same time the

0:49biggest AI YouTube channel and also the

0:52biggest AI business community in the

0:53world with over 160,000 members. And it

0:56all started by helping regular

0:58businesses to use simple AI tools like

1:00Chat GBT, which is exactly what you're

1:02about to learn. This complete 6-hour AI

1:04business masterass gives you my exact

1:06blueprint. It's the same one that

1:08thousands of beginners in my community

1:09have used to build real AI businesses,

1:11helping local businesses to understand

1:12and implement AI. So, here's how this

What We’re Covering

1:14video is going to work. I have put

1:15together my best YouTube content over

1:17the past few years in the exact order

1:18that you'll need in order to start your

1:20own AI business. In chapter one for the

1:22newbies, we'll explore the AI business

1:23landscape. I'm going to be showing you

1:25how big this opportunity really is, the

1:27types of AI businesses that you can

1:29start, and I'll help you overcome the

1:31doubts that you're probably having about

1:32whether or not you can actually do this

1:34and whether you can start an AI

1:35business. In chapter 2, we're going to

1:37focus on actually starting your AI

1:39business. The videos in this section are

1:40going to help you to find where to begin

1:42your journey. How to build AI skills

1:44quickly. How to choose profitable niches

1:46and pick the best one for you and get

1:48your first client, price your services,

1:50and basically everything you need to get

1:52your business off the ground and go from

1:53zero to one. And finally, in chapter 3,

1:55we'll talk about how to scale your AI

1:57business. And I'll be sharing how I

1:58scaled my AI businesses from 10K per

2:00month all the way to $100,000 per month

2:02and beyond. And most importantly, how to

2:04avoid the same mistakes that trip myself

2:06and most others up. So, if you're

2:08serious about becoming an AI

2:09entrepreneur and building the life of

2:10your dreams, then close out all of your

2:12tabs right now. Save this video to your

2:14watch later so that you don't forget to

2:16come back to it. Grab a notebook and a

2:18pen and your drink of choice. Feel free

2:19to skip around this video if you already

2:21have an AI business and you're ready to

2:22sort of jump ahead. But if you're a

2:24beginner and just starting off your AI

2:25business journey, then buckle up and get

2:27ready to discover the amazing future

2:29that awaits you in this AI business

2:31world. If you want to learn a little bit

2:32more about me and my story, I will link

2:33my whole my story video in the

2:35description. But without further ado,

2:36I'm so excited for you to start this

2:38journey and I hope to see you in my free

2:39community Q&As's very soon.

Billionaires’ #1 Recommendation

2:46If I was 25 years old today in 2024,

2:49what would I do? What's a good sector to

2:51get involved in? What business would I

2:53get involved in? If I was a 16-year-old

2:55kid and I needed to start a side hustle

2:57to make some money, I think everything

2:58is looking at now in a different way. As

3:01businesses, particularly small to

3:03mediumsiz businesses, don't understand

3:05yet. The majority of businesses in

3:07America, for example, are between 5 and

3:10500 employees. So, they're small

3:12businesses. They create 62% of the jobs

3:14they want to use. And I doesn't matter

3:17if I'm 16, I'd be teaching them as well.

3:19Sound complicated? Yes, it is. But is it

3:22lucrative? very much. So, it's not about

3:24how hard you row, it's about what bill

3:26you're at. It's imaginational and

3:28they'll pay you.

3:30Two years ago, I spotted exactly what

3:32these billionaires are just now telling

3:35everyone to jump into. And back then,

3:36people thought I was insane. And fast

3:38forward to today, I've built a

3:40multi-million dollar business with over

3:4240 people based out of our Oakland

3:44office here in New Zealand. All because

3:46I saw this coming before anyone else

3:49did. In the next 20 minutes, I'm going

3:50to show you why this opportunity is so

3:52glaringly obvious that these billioners

3:55are literally begging people to start

3:56these kinds of businesses. And more

3:58importantly, I'll be breaking down how

4:00almost anyone can start one of

4:03them. So, what is this no-brainer

4:05opportunity that Shark Tanks Kevin Olri

4:08and Mark Cuban both say is the first

4:10business they would start if they were

4:12starting again as an entrepreneur today?

4:14Let's see if you can figure it out. If I

4:15was 25 years old today in 2024, what

4:19would I do? What's a good sector to get

4:20involved in? What business would I get

4:22involved in? I think everything is

4:24looking at AI now in a different way.

4:26And I think AI growth is going to be

4:28exponential. So, anything to do with AI

4:30now, what could that be? In the simplest

4:32form, it's helping people use the

4:34technology. There's going to be a

4:36massive amount of people wanting to use

4:37it that don't know how to and they're

4:39willing to pay to solve that painoint.

4:41So, is that consulting? Not really. is

4:44implementation and execution. And so

4:47helping a business do that transfer into

4:50a world where they're controlling their

4:51data and getting information from it.

4:53Now, the majority of businesses in

4:55America, for example, are between 5 and

4:58500 employees. So, they're small

5:00businesses. They create 62% of the jobs.

5:02They want to use AI. You should help

5:05them solve for that, and they'll pay

5:06you. Did you catch that? Let's see what

5:08Mark Cuban has to say as well. The

5:10skills you need for a job today, 10

5:12years, 100 years from now are always the

5:14same. You need to be curious because

5:16everything's changing. You need to be

5:17agile because everything's changing. And

5:20you've got to be able to adapt because

5:23everything's always changing. I can

5:25pretend that I'm going to be able to

5:26predict where AI is going and the exact

5:28impact on the job market, but I'd be

5:30lying. I have no idea. But I do know

5:32that I'm going to pay attention and be

5:34agile and be curious and be able to

5:36adapt. So, if I was a 16-year-old kid

5:38and I needed to start a side hustle to

5:40make some money, there's a couple things

5:41that I would do. One, I would be all in

5:44on large language models like Chat GPT

5:47and Gemini, Meta, and the like and

5:50learning how to prompt and going to my

5:52friends and teaching them how to do

5:54prompts for all their papers. And then I

5:57would go to businesses because

5:59businesses, particularly small to

6:00medium-sized businesses, don't

6:02understand AI yet. And I doesn't matter

6:04if I'm 16, I'd be teaching them as well.

6:07Think you got it? Well, hold that

6:09thought. And now, let me show you

6:11something from nearly two years ago. AI

6:13automation agencies are the next big

6:15thing in online business. The AI

6:18automation agency model is an online

6:19business model focused on helping small

6:22to mediumsiz businesses to automate

6:24their systems and processes with AI

6:26technology. What I'm calling an AI

6:27automation agency is an online business

6:30model where you work with businesses

6:31either on a contract or retainer basis

6:33to help them apply AI technologies. That

6:36video was filmed in May of 2023. And

6:39what I discovered back then through my

6:40own business, Morningside AI. And what

6:42these billionaires are are really only

6:44just catching on to now is that there is

6:46an enormous gap between these small to

6:49mediumsiz businesses that desperately

6:51need AI to stay competitive and their

6:54ability to actually implement it. For

6:56these businesses to be fully up to date

6:57with AI, there are many layers of

6:59services that they are starving for

7:01right now. You've got education about

7:03what AI is as a technology and what it

7:06can and can't do. Secondly, they are

7:07starving for consulting on the best

7:09kinds of AI systems to implement for

7:11their business to get some kind of ROI.

7:13And the final step is building AI

7:15systems for them in order to reduce

7:16their costs and increase their sales.

7:18The businesses that provide these kinds

7:20of AI services and what these rich guys

7:22keep talking about are called AI

7:24automation. agencies or AAA's for short,

7:27which is a term that my team and I

7:29created to really describe a new

7:31business model that we discovered in May

7:33of 2023. Now, before you click away

The 5 Myths Holding You Back

7:35thinking that I can't do this, I'm I

7:37don't know AI. I'm not an expert in AI.

7:39I'm not qualified. Give me a second and

7:41I will destroy every single excuse and

7:44shred of self-doubt that your brain is

7:45creating right now about this

7:47opportunity. In reality, you are so much

7:49closer to tapping into this enormous

7:51demand for AI services that these

7:52billionaires keep talking about than you

7:54think. Starting off with excuse number

7:56one, I'm not an AI expert. So, this

7:59right here, this belief that you need to

8:02be some kind of AI expert with a degree

8:04or other qualifications is exactly why

8:07this opportunity is still so untapped.

8:09What most people don't understand about

8:10the current AI revolution is that when

8:13chat GPD was launched in in the end of

8:152022, it basically blindsided everyone

8:18equally, right? So the AI academics,

8:20business leaders, even the tech giants

8:22like Google, this new wave of AI is so

8:25different from what came before it and

8:26so transformative that we are all

8:29essentially starting from ground zero.

8:31It truly is an even playing field. And

8:34while universities and traditional

8:36education are still scrambling to update

8:38their courses and programs, while

8:40businesses are still desperate to

8:42understand what's possible with this

8:43technology, there's been a small group

8:45of people that have been stepping up in

8:47order to bridge this gap and start to

8:50tap into this surging demand from

8:51businesses all over the world for AI

8:53services. And the thing is that they're

8:55not AI academics. The majority of them

8:58aren't even developers. that the regular

9:00people who saw this opportunity like the

9:02billionaires and and myself and and just

9:04took action on it. My point here is that

9:06the real experts in AI for businesses

9:09aren't being created in classrooms. They

9:11are being forged in the real world by

9:13helping businesses to understand and

9:15adopt this technology in a place where

9:16we are judged by our results and not by

9:19our qualifications. You don't need to be

9:21a technical genius to get into AI.

9:24Businesses need three things. They need

9:26someone to explain AI to them in simple

9:28terms. That's education. They need

9:30someone to show them how and where to

9:31use it. That's consulting. And finally,

9:33they need someone to help them implement

9:35it into their business. So, you don't

9:36have to do all three. You can literally

9:38just start wherever suits you best

9:39depending on your background. And I'll

9:41explain the process for doing this in

9:42the last section of this video. But to

9:44get started, you could literally just

9:45take what you learn in my videos about

9:47AI agents, for example. I did a massive

9:49video on that. you could turn that video

9:51and the information in it into a

9:52presentation and start helping

9:54businesses to understand AI agents in

9:56the future of work uh within the next

9:58few days. The bar to get into AI isn't

10:00necessarily having all of the answers

10:02right away. It's really just about being

10:04one step ahead of the businesses who

10:06don't have the time to figure this stuff

10:07out themselves. Excuse number two is I

10:10can't code. Now, this is the second most

10:12common excuse I hear of, I can't get

10:14into AI. I don't know how to code. And I

10:16I totally get where this comes from,

10:18especially when I talk about AI

10:20automation and and building AI systems

10:22and that stuff really immediately

10:24terrifies people and for good reason.

10:26But let me share something about what

10:28I've learned really firsthand at my

10:30agency, Morningside AI. Before

10:32businesses even think of signing off on

10:34a $50,000 AI development project, they

10:36first need two things solved. They need

10:39someone to help them understand what AI

10:40actually is. and they need someone to

10:43show them where AI can drive the biggest

10:45ROI within their business. And so this

10:48is great news for you non-coders and

10:50people who don't want to be technical.

10:52You can always learn, but some people

10:53just really don't want to do that. And I

10:54get that and understand it. But it's

10:56great news for you because there's huge

10:58amounts of money to be made in this

11:00education and consulting space in the AI

11:02services market. Now, if you don't

11:03believe me, don't take my word for it.

11:05Just look at what all of the biggest

11:07consultings in the world are doing.

11:09You've got McKenzie, which has just

11:10combined 1,000 AI experts into their new

11:13quantum black AI division. Accenture is

11:16dropping $3 billion on new staff in

11:19order to expand the AI consulting

11:20division. And BCG expects AI consulting

11:23to make up almost half of what they do

11:26by 2026. But while these consulting

11:28giants are fighting over these Fortune

11:30500 companies, the businesses that Ori

11:32mentioned in the clip I played, the ones

11:34that make up 62% of US jobs are being

11:37completely ignored. and they are

11:39desperate for guides to help them make

11:41this transition into the AI age just as

11:43much as the big companies. Now, I would

11:44be talking out of my ass if I didn't

11:46have some good examples of non-coders

11:48who had actually transitioned out of

11:49their previous career into the AI space.

11:51So, let me introduce you to three very

11:53different people who found their lane in

11:55the AI space without having a technical

11:57background. Firstly, there is Nick. And

11:59so, a year ago, he was a successful

12:00strategy consultant, but was completely

12:02new to AI and had never written a line

12:04of code in his life. But like many

12:06consultants, he was great at spotting

12:08opportunities and explaining complex

12:10ideas. He joined my AAA accelerator

12:11program and built up his AI knowledge

12:13and started sharing his AI insights on

12:15LinkedIn, building his personal brand

12:17while learning about the space as a

12:18whole. Within a few months, he had his

12:20own AI automation agency up and running.

12:22Today, he's leading our consulting

12:24division at Morningside AI, where we've

12:26just completed an 8-week AI audit for a

12:28$200 million per year steel company. And

12:31so Nick's gone from complete AI beginner

12:33to closing huge AI consulting deals in

12:35just over a year. Then there's Henrik.

12:37And so when he joined my community

12:38nearly 2 years ago, he knew nothing

12:40about AI or coding, but he was willing

12:43to learn. I had to have to give it to

12:44him. He was willing to learn and stick

12:46it out. And he started with simple no

12:47code tools uh for AI automations and he

12:50kept pushing himself just a little bit

12:51at a time. And now he's one of the most

12:53experienced voice AI developers globally

12:55and he's building voice agents for major

12:57businesses. And better yet, he's just

12:59hit his goal of $15,000 in a single

13:01month and he's just had a baby. So,

13:03massive congrats, Henrik. It's been

13:04awesome to see your growth, man. And

13:06finally, there's Isaiah. And he was one

13:07of my earliest community members. And he

13:09already had strong relationships in the

13:11coaching industry. And so, instead of

13:13trying to learn all the technical stuff

13:14himself, he got smart, and he focused on

13:17what he was actually really good at

13:18doing already, which is understanding

13:20the market, understanding who he was

13:22trying to sell to and selling these

13:24solutions to them. And so he found a

13:26technical partner to handle the building

13:27of the solutions that he sells while he

13:30focused on sales. And now he's doing

13:31$25,000 months helping coaches to

13:34implement AI appointment setting systems

13:35into their business without writing a

13:37single line of code himself. So three

13:39completely different backgrounds, three

13:41completely different approaches, but one

13:43common thread. They all found their

13:45perfect entry into the AI services

13:47space. See, this is the beauty of this

13:49AI services space is that you can start

13:51wherever you're comfortable. Whether

13:53it's with education and teaching

13:54businesses to understand AI, it's

13:57consulting and helping find the best

13:58opportunities or yes even development if

14:00you're coming with a technical

14:01background or you're just really

14:02interested and want to learn that side

14:04of the business yourself as I've done

14:05and I really really enjoy getting my

14:07hands dirty and building automations

14:09myself. But thankfully I do have a team

14:10to do it now at scale. Excuse number

14:12three is I've never run a business

14:14before. So I'm not going to sugarcoat

14:16this. Starting your first business is

14:18always going to be hard. I'm not going

14:19to do that to you. But there is a way to

14:22essentially game the system. And it all

14:25comes down to boats. Not fishing boats,

14:28not sailing boats, but rather a boat or

14:30the business vehicle that you choose to

14:32get into. This analogy of boats and

14:35business vehicles comes directly from

14:36the world's greatest investor, Warren

14:38Buffett. And no one can explain the

14:40story better than good old Alexi. Warren

14:43Buffett. Uncle Warren. He and one of his

14:45closest friends graduated Columbia

14:46Business School at the same time, same

14:47year. and he said that guy was smarter

14:49and harder working than him. They then

14:50went their separate ways. Warren ended

14:52up getting into investing and his friend

14:54goes into the steel business. Mind you,

14:55this is a guy who was smarter and harder

14:56working than him. He said he did okay.

14:58He did pretty well, but not close to

15:01what Warren did. And he said his biggest

15:03lesson from that was it's not about how

15:04hard you row, it's about what boat

15:06you're at. Warren got more out for what

15:08he put in than his buddy in the steel

15:10business because the steel business had

15:12a lot of headwinds. And so he had to row

15:13harder against the wind than Warren did

15:16while riding one of the best growth

15:18curves of the US economy overall. So

15:21it's your choice of boat, the industry

15:23and the business model that you choose

15:25that is the biggest factor in your

15:27success as an entrepreneur. Let's say

15:29you were to start a business right now

15:31in the newspaper industry. You're going

15:33to be facing some pretty damn brutal

15:35headwinds, right? It's a declining

15:36industry. It's nearly impossible to

15:38succeed in that industry, especially if

15:40you're coming in as a beginner. But for

15:41AI services, not only are you catching

15:43what Bay & Company reports is going to

15:45be an $8 trillion wave of investment in

15:48AI and automation over the next decade,

15:50which I mean we're already starting to

15:51see now in the US, you're also catching

15:53this wave right at the beginning where

15:56basically all of the money is going to

15:57be made. And personally, I learned this

15:59lesson about picking the right boat the

16:00hard way. As uh my first online business

16:03was in 2019, I started drop shipping as

16:05basically everyone did back then. and I

16:07was pretty late to the party and I

16:08really realized quickly that I was

16:10fighting over the crumbs left by the

16:11other guys. Long story short, it took me

16:1314 months of failure before I made my

16:16first dollar of profit. Um, I then went

16:18on to thankfully make good money in the

16:19e-commerce and digital marketing space.

16:21And then in 2023, I decided to switch my

16:23efforts into AI and applied the exact

16:26same amount of effort and my career has

16:28just exploded since. So basically,

16:30picking the right boat at the right time

16:32is a multiplier on the time and effort

16:35that you put into it. So starting your

16:36first business in this rapidly growing

16:38space for AI services and the AI

16:40industry as a whole and going with the

16:42wind basically allows you to get bigger

16:44results faster than normal. Again, I'm

16:46not saying this is going to be dead easy

16:48or walk in the park, but you will get

16:50better results at a faster rate when

16:53compared to stagnant and even declining

16:55industries. And what's great about the

16:56AI services space is that you can start

16:58incredibly small. You can help one

17:00business to understand AI tools. You can

17:02do it for free at first. Then you can

17:04start charging for your time when you do

17:06this kind of service. Then you can

17:07gradually grow into bigger and bigger

17:09projects as your confidence builds. Then

17:11transition into a proper AI automation

17:13agency model. And that's basically what

17:15I did. I started here on YouTube making

17:18videos because I was interested in the

17:19space, making like coding tutorials,

17:21showing you how I was building these

17:22different systems. And then when people

17:24started asking for it, I started to

17:25offer paid consulting calls and

17:27monetized my AI skill set that way

17:29first. Then I started my AI automation

17:31agency. Then I built an education

17:33business. And then I built an entire AI

17:35SAS as well. As you can see, baby steps

17:37lead to like rapidly lead to really big

17:39outcomes in a growing industry like AI,

17:42even if you're new to business. I'm I've

17:44had a few years in the game, thankfully.

17:45But this is not to say that you can't

17:47achieve similar things, at least on a

17:48longer time. So baby steps can really

17:50lead to some pretty big outcomes rapidly

17:53if you're in a growing industry like AI,

17:55even if you're new to business. Excuse

17:57number four is that I don't have time.

17:58So 1 hour per day that is it that is all

18:01you need to start building your AI

18:03knowledge and your skills. That's really

18:05the core of getting this thing off the

18:06ground and any kind of AI services. Now

18:08of course if you do more than an hour a

18:10day you will get where you want to go

18:12faster. But if you have time constraints

18:14this is really all you need. I've got a

18:16complete free course on my school

18:18community that's 100% free. Walks you

18:20through everything you need to know

18:21about AI business from theory to

18:23building AI automations and agents. So,

18:25if you've got a job and or a busy home

18:27life, then just chipping away at valuep

18:30packed content like this over a month or

18:32two or even three will really do

18:33wonders. And before you know it, you're

18:35going to know more than the majority of

18:37businesses do when it comes to AI. And

18:39you can start to make money by profiting

18:40from that knowledge gap between where

18:42you are and where they businesses. And

18:44the beauty of this is that you can do it

18:45around your current job and lifestyle

18:47until you're ready to take it to the

18:48next level and go all in. Excuse number

18:50five is I'm too late. I've missed the

18:52boat already. Now, this is the final

18:54excuse I hear from people after I've

18:56taken them through all the stuff I've

18:57just done with you. They get to this and

18:59they say they point to me and they point

19:00to the kind of first generation of these

19:02AI service providers and AI automation

19:04agency owners who've been we've been

19:06really working on this stuff for the

19:07past 2 years and they use that as the

19:09evidence that they've missed the boat

19:11and we've just kind of soaked up all the

19:13all the market share and that all the

19:14easy gains are going to be gone. Um, and

19:16you may see the kind of views that I get

19:18on my videos and think that the whole

19:19globe is all over this opportunity by

19:21now. But in reality, 99, maybe even

19:2499.9% of the people who watch my videos

19:27don't actually take action. And of those

19:29who do, only a fraction of those people

19:31actually commit to the process and the

19:33grind and the ups and the downs actually

19:35needed to see success and build a

19:37long-term sustainable agency. But right

19:39now, if you looked at the demand for AI

19:41services versus the supply, there would

19:43be a staggering shortage on the supply

19:45side. According to the NICS 2024 data,

19:48there are 1.7 million companies in the

19:51United States alone with annual revenues

19:53between 500,000 and 10 million. MyA

19:56accelerator program has trained 2,000

19:57active agencies, 60% of which are USA

20:00based. Active meaning that they are

20:02basically consistently closing deals and

20:04capable of providing quality services.

20:06And when you factor in the older and

20:08traditional development agencies that

20:09have since seen the AI opportunity and

20:11pivoted in into these AI services, we're

20:14looking at 1500 or so active AI agencies

20:17in the USA. That means that for every

20:19active AI automation agency in the US,

20:22there are

20:221,133 small businesses needing help with

20:25their AI transition. And that's only for

20:27businesses that are doing less than 10

20:28million per year. So to put things in

20:30perspective, according to Satista, there

20:32are approximately

20:3454,220 digital advertising agencies in

20:37the United States in 2023. That means

20:39that there are 31 small businesses per

20:42digital agency in the United States. So

20:451,133 to1 in the AI agency space and

20:48then 31 to1 in the digital marketing

20:50space. So when people say SMMA is

20:52saturated, like it really really is when

20:54you look at these kind of numbers. And

20:55the digital marketing space only really

20:57kicked off in the early 2000s when

20:59Google released their search ads

21:00platform AdSense. So it has taken

21:02basically 25 years for it to reach this

21:04level of saturation. I only created the

21:06AI automation agency model and started

21:08talking about it in May of 2023. So even

21:11if the space takes off and everyone

21:12starts listening to the billionaire's

21:14advice, it's at least another five or

21:16more years on the conservative side

21:18before things become anywhere near as

21:19competitive as digital marketing as this

21:22ratio of agencies to businesses starts

21:23to come down. If you start now, by the

21:25time we get to that point, you'll have

21:27been able to build your skills, build

21:28your team, and really become the master

21:30of your niche, while the newbies

21:32struggle to get in at this later point.

21:33In the final section of this video, I'll

21:35break down the process of starting your

21:36own AI services business step by step.

21:39So, in short, we're still so early to

21:41this, and AI will continue to change and

21:43advance rapidly, meaning that businesses

21:45will become more and more dependent on

21:47us to help them navigate this long

21:49period of transition when there's new

21:50technologies coming out here and there.

21:52So, what I'm trying to say is there's a

21:54long way to go. By this point, it should

21:55be pretty clear. The only thing stopping

21:58you from transitioning into the AI space

22:00is you, right? The reason we're seeing

22:02success stories from such diverse

22:04backgrounds is simple. And it goes back

22:06to what Warren Buffett said. It's not

22:08about how hard you row. It's about the

22:11boat you're in. Before I show you

22:12exactly how to start one of these

22:14businesses and give you all of the

22:15resources and help you're going to need

22:16along the way, let me prove once and for

22:18all why this is by far the best boat on

22:22the market right now. And I'm going to

22:24do so with a little help from the

22:26greatest teacher of all,

22:29history. To truly understand why the

22:31billionaires are begging you to start AI

22:33automation agencies, let me take you

22:35back to 1995. The internet had just

22:38become commercially available and most

22:40people thought it was a fad. Business

22:42owners were confused. They were

22:45skeptical and many thought that having a

22:48website was going to be pointless. Sound

22:49familiar? But just like today with AI,

22:51businesses knew something big was

22:53coming. But they had no idea how to take

22:56advantage of it. And this created an

22:57incredible opportunity for smart

22:59entrepreneurs to bridge this gap and

23:02make ridiculous amounts of money while

23:04doing so. Take agency.com for example.

23:07They started pretty simple. They started

23:09helping businesses to establish their

23:10first web presence, doing basic website

23:14design and development and digital

23:16consulting to basically explain what was

23:18possible with the web for a business. As

23:21businesses began to understand the web,

23:23they expanded into strategic consulting,

23:25e-commerce implementation, digital

23:28marketing services, etc. And this

23:29company was founded in 1995 in New York

23:32City. And by 1999, just four years

23:34later, they were worth $2 billion and

23:37were working with giants like British

23:39Airways, Nike, and Sprint. Or look at

23:41Razerfish. They started with just $3,000

23:43in startup capital as basically a small

23:46digital design and web development shop,

23:48but they quickly evolved into something

23:50much, much bigger. They helped these

23:52traditional businesses to transform for

23:54the digital age through things like

23:56digital strategy consulting, custom

23:58software development, and e-commerce

24:00platforms. At the time, Razer Fish's

24:02business grew rapidly from $300,000 in

24:05revenue in 1995 to $268 million in

24:09revenue by 2000, just 5 years later,

24:12with over 2,300 employees across nine

24:15countries. Now, here's what most people

24:16miss about these stories. It wasn't just

24:18that they were early to the web and

24:19that's how they made all this money.

24:21It's that they position themselves as

24:23guides helping these confused businesses

24:25to navigate this new technology. In

24:271995, it was what is a website and do I

24:31need one? And 2025, it's what is AI and

24:35how can it help my business? But here's

24:37what makes this opportunity even more

24:38incredible. Unlike the '90s when the

24:41internet boom was only really accessible

24:43to a tiny group of computer enthusiasts

24:45who knew how to code at the time, this

24:48time around, we have the world's

24:50information at our fingertips via

24:52Google, YouTube, and Chat GBT. We have

24:55thriving online communities of people

24:57who are building cool stuff with AI and

24:58collaborating with each other. And there

25:00are incredible lowcost tools that allow

25:02basically anyone to build AI systems and

25:05automations without coding. And I mean,

25:07if those aren't enough, generative AI

25:09technology itself is based on something

25:11that we all know how to do or can easily

25:13learn, which is just writing clear

25:15instructions. I mean, that's all AI

25:17prompting really is. It's built on

25:19written

25:21language. So my question to you is this.

25:24If not now, then when? If you're not

25:27satisfied with your current situation,

25:28if you believe deep down that you

25:30deserve more from life, what other signs

25:32are you waiting for? I mean, we have

25:34billionaires literally saying, "If I was

25:36starting over again, this is exactly

25:38what I'd be doing." We have mountains of

25:41data showing that businesses and

25:43governments are about to pour trillions

25:44and trillions into the AI transition.

25:47We've just got a new presidency in

25:49America with a very, very pro- AAI

25:51administration. So, we have another

25:53four-year runway that's going to be all

25:54about AI and and all sort of positive

25:56wins about our back. We have an industry

25:58that is so diverse that whether you want

26:00to sell many courses to small businesses

26:02and make 20K a month or build seven

26:05figure AI automation systems for

26:06enterprises. There's a place for you and

26:08there's a place for everyone. And we

26:10have proof. We have thousands of people

26:11from all walks of life who have made

26:13this jump into the AI space and

26:14succeeded. I've got them all in my

26:16communities. I've got them here on the

26:17channel. Hell, I've even documented my

26:19entire journey on this channel from day

26:21one from complete beginner to where we

26:23are now in order to show you how to do

26:24it or at least how it worked for me. And

26:26I get passionate about this because AI

26:28truly has blessed me beyond my wildest

26:30dreams. And that sounds kind of cringe

26:31to say, but it seriously allowed me to

26:33make more money than I ever ever

26:35imagined possible to build an incredible

26:38company alongside my best friends to

26:40find a way to truly feel like I'm

26:41impacting the world. And that's why I

26:43feel kind of this burning responsibility

26:45to grab you by the shoulders and scream

26:47like this is it man. This this is the

26:49opportunity that you've been waiting

26:50for. If you've ever been praying or

26:52whatever religion you believe in asking

26:54for something to come and and come your

26:55way like this is it. This is it. I have

26:58all of my friends who run successful

27:00businesses. They talk to me and they

27:02say, "Man, I'm so like I just wish I had

27:04this kind of I wish that was the vehicle

27:05or that was the opportunity that I got

27:07into. It's just I can't shift now, but I

27:09wish I wish if in another life I would

27:11have done the exact same thing as you.

27:13And so if these really successful

27:14businessmen who are running different

27:16businesses looking in at me and other

27:17people who do this stuff like me and

27:19they are like, "Wow, I wish I had that

27:21chance." Then I'm telling you, if you

27:22want to get into business, then just

27:24just there's something here for you. And

27:26this is like why I make these videos

27:28just to make a bit of awareness so that

27:30you have some kind of stimulus to take

27:32action on it. Because I promise you,

27:34there's something in here for everyone.

27:35And I found mine, I see so many other

27:37people do it, too. I just really want to

27:39create awareness around this whole

27:40thing. And so, if you are ready to take

27:42the first step towards the life that

27:44you've always dreamed of, let me show

27:46you exactly how to get started in this

27:50today. Now, for the bit you've all been

27:52waiting for. I've explained the

27:53opportunity at hand. I've explained why

27:55these billionaires won't shut up about

27:57it. And I've demolished all of your

27:59self-doubt and excuses that will stop

28:01you and prevent you from taking the

28:02dive. I've outlined the crystal clear

28:04historical pattern that this model is

28:06based on and really tried to cut through

28:07this AI hype rubbish that we get to like

28:10some historical patterns and precedents

28:12that we can base it off and be like,

28:13"Okay, we can expect something similar

28:15here. I'm trying to make this not some

28:16AI fluffy hype stuff, but really really

28:19databacked for you cuz I know there's a

28:21lot of people who need to see that." And

28:22most importantly, I've just challenged

28:23you to take action because if not now,

28:26then when? If you're still here watching

28:27this video, then you understand that

28:29while this isn't going to be easy, like

28:31I said, it's about as easy as it'll ever

28:33get, and you're obviously going to be

28:35ready to put the work in. So, let's get

28:37into it.

28:39Now, while everyone's journey into AI is

28:41of course different, through my own

28:43experience of starting my own AI

28:44businesses and helping thousands to do

28:46the same through my free and paid

28:47communities, I've got enough data on

28:50what works and what doesn't. And it's

28:51basically revealed a sequence of

28:53non-negotiable steps in order to be

28:55successful in the space. And to give you

28:57a clear step-by-step approach to

28:58executing on these non-negotiable steps,

29:01I've created my most comprehensive free

29:03guide on starting an AI business to

29:05date, which breaks down this process and

29:07provides access to all of the my best

29:09resources, including those from my paid

29:12AAA accelerator program as well. This

29:13complete guide is going to be available

29:14for free via the first link in the

29:16description. But for the rest of this

29:18video, I want to give you a detailed

29:19breakdown of each of these

29:20non-negotiable steps so that you're

29:22ready to take action on that document

29:23below.

29:26So step number one in starting your AI

29:28business is finding your unfair

29:29advantage. Business is all about finding

29:31your unique edge and playing that

29:33advantage fully. After watching

29:34thousands of people start their AI

29:36journey through my communities, I can

29:38tell you that without a doubt, this step

29:40is what makes or breaks the majority of

29:42people's success. It's basically picking

29:44the right niche and starting point for

29:46their business where they have a natural

29:48upper hand. So, as part of the complete

29:50guide in the description, I'm going to

29:51be giving you free access to the exact

29:53resource that I use for all of my AAA

29:55accelerator members within my program,

29:57which is basically a comprehensive self-

29:59audit that uncovers your past

30:01experiences, your interests, your

30:02connections, your relationships. And

30:04from this self- audit, you're able to

30:06find a starting point where you have a

30:07unique advantage. I've seen people from

30:09every background imaginable succeed.

30:11from ex-conultants to even miners, but

30:15only when they lean into their unique

30:16advantages instead of trying to copy

30:18someone else's

30:20path. Step two is to build your

30:22knowledge gap. Your knowledge gap is

30:24your money maker in the AI space or in

30:26any space really for that matter. It's

30:28pretty simple really. Your clients are

30:29going to pay you in proportion to how

30:31much more you know about AI and its

30:34business applications than they do. So,

30:35it's a knowledge gap. They are here. You

30:38are here. The beautiful thing about 2025

30:40is that the knowledge to acquire your

30:43own knowledge gap is everywhere. You can

30:45build this gap through free resources

30:46like here on my YouTube channel and my

30:48free course on my school community. Or

30:50you can accelerate your learning through

30:51paid programs that offer more

30:53concentrated and structured information

30:55if you have the funds to do so. But in

30:56the complete guide below, I've provided

30:57you with a list of my best free

30:59resources in order to rapidly build your

31:01own knowledge

31:03gap. Step three is finding your first

31:06free clients. So, it's crucial to ease

31:08into selling AI services. You can't eat

31:11an elephant in one bite, I think, is how

31:13they'd probably say it. But, we aren't

31:14in a rush here, right? If you start now

31:16and take your time focusing on just

31:19building your skills and truly

31:20satisfying your clients, you'll find

31:22your feet and build a solid base to

31:24scale from there. I mean, I see it way

31:26too often and people try to jump into

31:29this business model and try to deliver

31:30some $10,000 deal and they just

31:32completely butcher it. Maybe often times

31:34it's with a a a good friend or a

31:36connection that they have and they just

31:38butcher the project, which is completely

31:39normal. I mean, your first project is

31:41always going to be the hardest, but this

31:43experience gives them a bad taste in

31:45their mouth and they end up giving up on

31:46their business model entirely based off

31:48this first experience because they bit

31:50off more than they could chew. So, I

31:51always recommend starting with free

31:53clients initially so you can start just

31:55restacking small wins and gradually

31:57building momentum, building your

31:59confidence. So, by far the best way to

32:01get your first free clients and start to

32:03build this confidence and momentum is by

32:05tapping into your warm connection. So,

32:07that's your friends, your colleagues,

32:08your acquaintances, family, etc. People

32:11that you have some kind of relationship

32:12or connection with. In the complete

32:14guide I've linked in the description,

32:15I've included the exact process again

32:17used by my accelerated members to

32:18systematically reach out to warm

32:20connections and the spreadsheets we use

32:22to track follow-ups and replies and also

32:24to sign deals.

32:28Step four is scaling with content or

32:30ads. A key step that many AAA owners

32:32stumble at is transitioning from their

32:33first few warm connectionsbased projects

32:36to actually consistently generating

32:38leads from other sources. And this is

32:39where your business either takes off or

32:42it hits a plateau. So you need a

32:43systematic way to attract new clients

32:45whether through content marketing like

32:47YouTube videos like this or through paid

32:49advertising. I mean both approaches

32:51work. It's about choosing one that

32:53aligns with your strengths and your

32:54resources. At Morningside AI, my AI

32:57automation agency, we've never had an

32:59issue with leads because this channel

33:00here gets over a million views per month

33:02and brings in many, many times more

33:04leads than we can handle. Like, even if

33:06we tried, which is a massive part of our

33:08success as an agency. And so, in the

33:09complete guide in the description below,

33:11I will provide the step-by-step

33:13blueprints for creating your own lead

33:14generation machine using the exact

33:16content creation strategy that has

33:18worked for me and my most successful

33:21students. Step five is building a team.

33:24So finally, the real key to scale is

33:26building an incredible team around you

33:28so that you can spend time building the

33:29business rather than working on it every

33:31day. I could not have achieved a

33:32fraction of what I have over the past 2

33:34years without my incredible teams across

33:37all of my different businesses. There

33:38are a few key highs that you make at

33:40certain stages of growth in your AI

33:42automation agency journey. From your

33:44first virtual assistant to take things

33:45off your plate to project managers and

33:47key developer roles as well. In the

33:49complete guide below, I've broken down

33:50in detail exactly when to make these

33:52hires and provided instructions on how

33:54to find and how to hire the best people

33:56for these roles. This is basically what

33:58transforms your business from a

33:59high-paying job into a truly scalable

34:04enterprise. So, that's it. Five steps

34:07between you and building your boat

34:09that's perfectly positioned to ride the

34:11waves of this coming decade so that

34:13basically at the end of the day, you can

34:15get more of what you want out of life.

34:17As I said, I have been blessed beyond my

34:18wildest dreams by what the AI space has

34:20given me and entrepreneurship as a

34:22whole. Not only monetarily, but also the

34:24feeling of being at the forefront of the

34:26most important industry in the world

34:27right now and playing a role in how this

34:30technology is adopted. Making sure that

34:32people like you and I can get in and get

34:33a slice of the action and all the money

34:35doesn't just go to the big guys. Making

34:37sure that small businesses have access

34:39to the AI services that they need in

34:41order to survive against the big guys

34:43and making incredible friends and

34:44memories along the way. as corny as it

34:46sounds. So whether you just want to get

34:48into the AI space for the money or you

34:50want the purpose, the fulfillment, and

34:51the excitement that comes along with it,

34:53the AI space has something for everyone.

34:56There's not enough AI service providers

34:57to help us make this transition. The

34:59world needs you to step up to the plate,

35:01and there'll never be a better time to

35:03start than now. I am so excited for you

35:05and the journey that you're about to go

35:07on. In order to access the complete free

35:10guide I've mentioned before and start

35:11your AI business and journey today, you

35:13can click the first link in the

35:14description below. And I look forward to

35:16seeing you in my community

35:21soon. There are tons of AI opportunities

Top 5 AI Businesses for Beginners

35:23popping up these days and I've pretty

35:25much tried all of them personally over

35:27the past 2 years. So in this section I'm

35:29going to be breaking down the top five

35:30AI businesses that complete beginners

35:32are using right now to launch their

35:33careers in the AI space and start making

35:35money. So, as I said, over the past 2

35:37years, I've personally run or am still

35:39running all five of the business types

35:41we're going to cover in this section.

35:42So, I'm going to be giving you the no

35:44real world experience and

35:45insights into the pros and cons of each

35:47of them and really how much money you

35:49can expect to make from them. And then

35:51at the end of the section, I'm going to

35:52be recapping things and explain which

35:54business is best for you to start. So,

35:55let's dive in. First up, we have AI

35:57influencing. So, here's the deal. People

36:00are hungry for simple and easy to

36:02understand info on AI right now. your

36:04job as an AI influencer is to take all

36:06of the complicated stuff about AI, like

36:08what new tools out there right now and

36:10how businesses can use them to benefit

36:12from them, and then explain it in a way

36:13that anyone can understand. You can kind

36:15of think of it as being a translator for

36:17AI, but you're on YouTube or social

36:19media. And you definitely don't need to

36:21be a genius. You just need to understand

36:22a little bit more than the average

36:24person or average viewer. And so, you

36:26can share your insights through videos

36:27like this on YouTube. You can write

36:28posts on Twitter or Medium. And if

36:31people like what you're sharing, then

36:32you can make money from ads, from

36:34partnerships, or from promoting other

36:36people's products as well. So, I started

36:37out my journey as an AI influencer, as a

36:40complete newbie to generative AI in

36:42January of 2023. You can even go back

36:44and watch all my old videos and see how

36:46little I knew about it and how stupid I

36:48was now that I watch them. It's kind of

36:49painful to watch them. But within 7

36:51months of posting consistently, my

36:53YouTube channel hit 100,000 subscribers,

36:55which was a shock even to me. But what I

36:57learned from my growth is that it's in

36:58these new and such hype spaces that's so

37:00much easier to grow a large following if

37:02your content is actually good. And yep,

37:04the AI influencer model does make a bit

37:06of money too. You've got ad revenue

37:08firstly, which is money from ads that

37:09are run on your YouTube video or on your

37:11content. Um, you've also got affiliate

37:13marketing, which is when you get paid

37:14for sending signups to things like other

37:16AI tools that you recommend. And then

37:18you've got video sponsorships where

37:19brands pay you to mention their

37:21products. And so you can start making

37:23anywhere from $2 to $5,000 per month,

37:25even with a small audience. But you are

37:27going to have to work consistently and

37:28create highquality content for about 3

37:30to 6 months before you start seeing any

37:32meaningful revenue from the business.

37:33The pros for this model are that you've

37:35got super low startup costs, just you

37:36and a camera. You've got quick growth if

37:38you pick the right topics like I did in

37:40the first 7 months, and you only really

37:42need a phone and a laptop to get

37:43started. The cons are that it doesn't

37:45make the big bucks compared to the other

37:46models we're going to touch on later.

37:48Plus, getting on the camera can be a

37:50pain in the ass if it's really not your

37:51thing. Um, influencing via YouTube and

37:54long form videos like this is by far the

37:55best. So, if you're not willing to be on

37:57camera, then you might have to do say

37:59writing on Medium or Twitter, and it's

38:00not going to get as good results as long

38:02form YouTube like this, right? So, next,

38:04let's talk AI consulting. So, this is

38:06where businesses pay you for advice.

38:08They want to know how AI can make their

38:10businesses better or what to avoid so

38:12that they can survive this AI

38:14transition. Basically, they're going to

38:16be paying you to tell them what to do or

38:17help them understand the new tools that

38:19are coming out and stay up to date. When

38:21I was doing this, it felt like I was

38:22doing AI therapy for some of these

38:24businesses who are really stressed out

38:25or they see big opportunities and they

38:26want to talk to me as kind of an AI

38:28therapist to get an expert opinion on

38:30things and soo their nerves. To become

38:31an AI consultant, you don't need a

38:32degree or some fancy qualifications. You

38:35just need to know again a little bit

38:36more than the businesses that you're

38:38helping do and be able to explain it

38:40clearly to them. For example, within the

38:41first four months of starting my YouTube

38:43channel, I was pulling in $4,000 a

38:45month. I think $4,200 in April of 2023

38:48from my consulting calls alone. So, I

38:50was charging $300 per call. And I

38:52eventually jacked that up to $997 for a

38:5545minute session. And yes, people were

38:57buying even at that price as well. So,

38:59consulting can be a very natural step

39:00from AI influencing as it's a more

39:03effective way to monetize your personal

39:04brand without having to create your own

39:06products or build your own complicated

39:08services as well. So, the pros of this

39:10model are that it's easy to start. You

39:12can scale this quickly by raising your

39:13rates as you get more clients. So, I

39:14just continually increase my prices as I

39:16got more demand. And it's a great way to

39:18build confidence and build real world

39:20experience of working with clients and

39:22and helping businesses, which is really

39:23where the money is in the space right

39:25now. The cons for the AI consulting

39:26model are that you're still really

39:28trading your time for money. And while

39:30that can be fine at first, it's not a

39:32long-term path to wealth. And you're

39:34only going to get paid for your time

39:35that you're actually working. And also,

39:37I found that consulting wasn't the most

39:38exhilarating work. If I had my whole day

39:40booked out with consulting calls, it

39:42wasn't like exhilarating. I didn't feel

39:43excited and jumping out of bed to go and

39:45hop on these calls. So, that's another

39:46thing to factor in as well. So, now

39:48we're getting into the serious stuff,

39:49the AI automation agency or what is

39:51known for short as the AAA model. This

39:54is where you get businesses to pay you

39:55to set up AI tools for them. And you can

39:57kind of think of it like a a website

39:59design company, but instead of building

40:00websites for companies, you are helping

40:02businesses to use AI to save time or to

40:05make more money. And the best part about

40:06this is that while a development

40:07background is a nice to have, you don't

40:09have to know how to code to get started.

40:11And this is what myself and my team at

40:12Morningside figured out in 2023, about

40:15midway through the year, that we could

40:16sell AI solutions using no code and low

40:19code tools. And our clients didn't care

40:20that it wasn't customcoded. And since

40:22then, we've really mapped out dozens of

40:23low code and no code AI tools that allow

40:25you to basically drag and drop to create

40:27AI solutions for your clients. This

40:29means that there's no technical skills

40:31needed to get started. For example, one

40:32of my students, Isaiah, still doesn't

40:34know how to code, and he scaled his own

40:36AI automation agency to $25,000 per

40:38month, selling AI appointment setters to

40:40coaches and consultants. So, I've

40:42actually got an interview with him on

40:43this channel here. So, I'll put that in

40:44the description if you want to check

40:45that out. Personally, I started my AI

40:47automation agency, Morningside AI, in

40:49March of 2023. And with my business

40:51partner, we scaled it to over $100,000

40:54per month. And we got there by landing

40:55huge projects. I'm talking our biggest

40:58Morningside project being over

41:00$15,000 for the initial phase. And so

41:03I've done a full breakdown of this

41:04project on my channel. So again, I'll

41:05put it in the description if you want to

41:06check that after. But while reaching

41:08this $100,000 per month uh point wasn't

41:11easy, we had a lot of late nights and

41:13painful mistakes which I try to help you

41:15guys through on this channel. Our

41:16success proved that with the right

41:18marketing and the right team, there's a

41:19ton of money to be made with the AAA

41:21model. So for the pros of the AAA model,

41:23we have low startup costs because you

41:24don't need to have a fancy product built

41:26first. You can just start with a few

41:28subscriptions to low code and no code

41:29tools. Secondly, there's huge demand.

41:31Businesses are desperate for AI systems

41:33and tools that can help them adapt and

41:35be more efficient and make more money.

41:36And the AAA model is very scalable,

41:38meaning that you can start small and

41:40grow fast once you pick up traction. Now

41:41for the cons, I would say that the

41:43learning curve of the AI automation

41:44agency model is steeper than the AI

41:46influencer or AI consultant route.

41:48Meaning that it is going to take you

41:49relatively more time to get the hang of

41:51it. But once you do, you're in a great

41:53position to make serious money and scale

41:54it much more than you'll be able to do

41:56with say just AI influencing or an AI

41:58consulting business. So once you've got

41:59some experience, you can actually make

42:01money by teaching other people about AI.

42:03And there's huge demand for this right

42:04now. And this is what we'll call the AI

42:06education business model. It means

42:08creating online courses or ebooks or

42:10webinar which are like online classes

42:12for people. For example, you could teach

42:14realtors, real estate agents how to use

42:15AI to find more clients. Or you could

42:18even show show parents how to help their

42:20kids use AI for school so they can get

42:22good grades. You know, there's so much

42:24out there you can do right now. But the

42:25catch is you've actually got to know

42:26what you're talking about and have

42:28discovered something interesting that

42:29you can make an education product

42:30around. It's not something you can

42:31easily fake and you definitely can't

42:33fake it over the long term. So, the best

42:34way to actually learn something that you

42:36can make an educational product around

42:37is by running an AI automation agency

42:39because by working on real projects with

42:41clients, it gives you some real hands-on

42:43knowledge that you can then package into

42:45a course or a product. So, the pros for

42:47the AI education business model are that

42:48it can scale like crazy, meaning that

42:50you can sell your courses and your books

42:52to lots of people without having to do

42:54more work each time you sell a new copy.

42:56And so, you get high profit margins in

42:57these businesses because once a course

42:59is made, it doesn't cost much to sell it

43:01to more customers. And from my

43:03experience of running an education

43:04business, it feels really good to help

43:05people. And I've built some awesome

43:07relationships through the people that

43:08have helped in my education business. I

43:09even went to the wedding of one of my

43:11students last month in Italy. I'll put a

43:12photo up here of me and Isaiah. Now, for

43:14the cons, of course, it actually takes

43:15time to become an expert. You've got to

43:17go out and learn something new and

43:18actually get results before you can

43:20start to teach it. You can try to do it

43:22without doing that, but realistically,

43:24you're not going to last that long in

43:25the AI education space. And finally, the

43:27big one, AI SAS, which stands for

43:29software as a service. This is where you

43:32create a software tool which solves a

43:33specific problem typically for

43:35businesses using AI. And instead of

43:37doing the work for yourself for a

43:38business, you basically build a platform

43:39that businesses pay to use. So you can

43:41think of it like Netflix, but instead of

43:43movies, you're selling access to an AI

43:45tool that you've built that businesses

43:47want to use to make more money or save

43:48time, etc. So, in October of 2023, I saw

43:51an opportunity to build an AI SAS that

43:53would help AI automation agency owners

43:55like myself and like many people in my

43:56community to put the Open AI GPTs onto

43:59platforms like WhatsApp, onto websites,

44:01Instagram, and more. The videos that I

44:03did on these topics got hundreds of

44:05thousands of views so that I knew that

44:06there was a lot of interest in a

44:08solution like this. And so, now a year

44:10later, I've put over $300,000 into this

44:13business. We've got over 25,000 users on

44:16it and we're just starting to make money

44:17from it because we're rolling out

44:18monetization as we speak. But it took a

44:21lot of time and a lot of cash to get

44:22here is my point. So the pros of the AI

44:24SAS model are that firstly you get in

44:26most cases recurring revenue, meaning

44:28you get paid every month from each

44:29customer. Secondly, it's very scalable

44:31if you do it right. Once the software is

44:33actually built, you can sell it to lots

44:35of people with very little cost of of

44:37replication, which is similar to the

44:38education product we mentioned. And of

44:40course, if you do it right, you can sell

44:41the whole business for a big payout,

44:43which is called exiting your company.

44:45And for the cons, as I mentioned, it is

44:47very expensive to set one of these thing

44:48up relative to the other business models

44:50I've mentioned. You're probably going to

44:52need to spend a lot of money before you

44:53even start to see a profit from it

44:55because you have to build the whole

44:56software first and then eventually

44:57people come to it and you have to modify

44:59it to their needs, basically. And you

45:00have to keep improving it until you get

45:01to a point where people are happy to pay

45:02you money for it. And also because AI

45:04and the AI market is changing so fast,

45:07your software could become outdated

45:08overnight. So you put in all this effort

45:10into building this entire software and

45:11then overnight OpenAI releases something

45:14or anthropic etc. and your whole SAS is

45:16just done and useless. So big risk of

45:18that because you're investing a lot of

45:19time and energy into doing one thing. So

Which Model is Best For You

45:21after having those five business models

45:22thrown in your face, I bet you're

45:24wondering where should I start? So let

45:26me make this very simple. The AI

45:28automation agency model is by far the

45:30best choice if you want real momentum

45:32and to have lots of options later on in

45:35your AI journey. And so here's why.

45:36Firstly, AI automation agency owners

45:38learn the most valuable skills in the AI

45:41space. So, with influencing and

45:42consulting, they can be good to get you

45:44started, but they don't actually teach

45:46you the skills that matter the most. And

45:48so, with the AAA, you end up learning

45:49how to set up AI tools for businesses.

45:51You can automate their tasks. You can

45:53build systems that actually save time

45:55and money. And these skills are what

45:56businesses are willing to pay top dollar

45:58for. My success at Morningside and the

46:00other guys in the community are a

46:01testament to that. And these businesses

46:03will keep coming back for more as the

46:05technology continues to improve. and

46:06they need to keep up. The AI automation

46:08skill set that you pick up from being a

46:10AAA owner is what will make your future

46:12basically bulletproof. Regardless of

46:14what happens to your business, what

46:15happens to the economy, there's going to

46:16be demand for these AI automation

46:18experts who know how to implement AI

46:20into businesses to create value for

46:22them. Secondly, you're going to make

46:23more money. So, while consulting might

46:25earn you just a few thousand a month,

46:27and influencing can bring in some ad

46:28revenue and some sponsorships, they're

46:30both still very limited. And with an AI

46:33automation agency, you're going to be

46:34landing bigger contracts, thousands or

46:36tens of thousands or like I have

46:38hundreds of thousands of dollars per

46:39project. And that's exactly how my

46:40agency, Morningside AI, hit over

46:42$100,000 per month for the first time by

46:44stacking projects and building long-term

46:46relationships with our clients. So

46:47basically, the earning potential of the

46:49AAA model is way higher than the others

46:51while also still being accessible to

46:53beginners to start. And thirdly, the AAA

46:55model is the gateway to bigger

46:56opportunities in the AI space. So if you

46:58want to create a course or even build a

47:00software, then running a AAA

47:02successfully gives you the real world

47:03experience and results which you can

47:05then turn into courses that people will

47:06pay for. It's also incredibly useful for

47:08helping you spot software opportunities

47:10like I did when I built my AI SAS. So

47:13the AAA model is the only path that

47:15naturally opens these doors for you to

47:16AI education and to AI SAS as well. And

47:19finally, we are still so early to this.

47:21The truth is that most businesses still

47:23don't get what AI can do for them. They

47:25think it's just some tech buzzword that

47:26they might have to pay attention to in a

47:28couple of years. But that's where you

47:29come in. Right now, there's a huge

47:31chance to become the go-to expert in AI

47:33automation in your niche before everyone

47:35catches on. It's basically like being

47:38one of the first digital marketers back

47:39when uh websites were still new. The

47:42people who got in then, they made a

47:44fortune and the people who came later to

47:45things like SMA, they got the crumbs

47:47left under the table. So, if you want to

47:49start strong and learn the most valuable

47:51skills in the AI space and have the most

47:54options for the future, the AAA model is

47:56by far the best way to go. And from my

47:58experience and what I see in my

47:59communities as

The Simplest AI Automation Offer

48:06well. Okay. So, in this video, I'm going

48:09to be breaking down the simplest AI

48:11offer that you can make to businesses in

48:12order to get in the game, get a foot in

48:14the door, start getting a bit of

48:16experience, getting on client calls,

48:17start actually delivering something and

48:19getting into the game of selling things

48:21to businesses. Um, that doesn't require

48:22you to have a huge development team or

48:25extensive development experience or even

48:28experience getting on calls or or

48:29knowing how to generate leads. This

48:31really is the smallest little baby step

48:32offer that you can make in order to just

48:34start making some progress towards your

48:36end goal of being a successful AI

48:38automation agency owner or AI

48:40entrepreneur. So, this video is really

48:41intended for beginners who are trying to

48:43get into the game, but I just feel like

48:44they have no clue what they should

48:46offer. They don't really know how to do

48:47market research. They're having trouble

48:49generating leads or knowing what they

48:50should niche down to. So, if you are one

48:52of these people completely new to the

48:53game, this is going to solve a lot of

48:55your problems and answer some key

48:57questions for you. So first thing you

48:59need to understand about this let's put

49:00it up here simple

49:03sim list best list AI

49:08offer. So you need first thing you need

49:11to understand is the concept of a

49:12knowledge gap which is how we make money

49:15in the AI space generally or in any

49:17industry whatsoever really if it's a

49:19service based industry particularly. So

49:21if you take say S MMA and digital

49:23marketing SMAS social media marketing

49:25agencies make money because the owners

49:28and the team at the SMMA has a knowledge

49:30gap that between themselves and the

49:32businesses basically they know more

49:34about digital marketing and how to get

49:36results with it than the business owners

49:37do. So the business owners pay them to

49:39get that they pay them the difference of

49:41that knowledge gap basically. So let's

49:43start off with key concept of knowledge

49:46gap.

49:48This is going to make sense sense for a

49:50second and I will be giving you this

49:51shortly. I'm not going to drag it out

49:52forever. Um, knowledge gap. So basically

49:59um, so here's the continuum of all

50:02knowledge. Um, so here's using May

50:05example. Here's the business owner. All

50:06right, let's start this. This is zero.

50:09So this is zero. This is maybe 10. This

50:12is maybe a a 65 and this is a 100. So on

50:17this knowledge scale say these people

50:18are just the this is the best person in

50:20the world. This is the best agency or

50:21the best team the absolute best

50:24knowledge and you could say SMA or in

50:26this case it's going to be AI as to the

50:28expertise available. So they are really

50:31really worth a lot and they they are

50:33just own the market running everything

50:35because they know so much but they're

50:36obviously going to be very expensive

50:38because they have so much context and

50:39understanding. Now if the business owner

50:42is

50:43here say how do I draw a

50:46uh draw a

50:49business what's the fire going out so

50:51this is a

50:53business and this is say an

50:57agency aa

51:00agency this 65 represents the knowledge

51:03that maybe the average one has or or a a

51:05one that's sort of doing well initially

51:07but it's yet to sort of scale into later

51:09ends of of running an agency

51:10successfully. But basically, businesses

51:12will come to this agency and they'll be

51:14like, "Hey, I need help with this AI

51:16thing. I don't know anything really

51:18about the technology. I don't know uh

51:20what what use cases are best for my

51:21business and I'm really just stuck and

51:23and I want some help and I'm also going

51:25to need your expertise to help me

51:26implement this without dozens and dozens

51:28of issues by trying to do it myself."

51:30So this is how this gap

51:34here is where this agency is going to

51:37make their money because they have a

51:38knowledge gap between where what the

51:40business knows about AI and what they

51:42know about AI and also their

51:43capabilities when it comes to the DF

51:45team and stuff. Now most of you starting

51:48off when you are getting into AI say

51:50let's just say the average business

51:51owner average is about a 10 on this.

51:54Most people are trying to jump all the

51:56way to this point here and be a a

51:58fullyfledged agency and and just sell

52:00every the whole nine yards when in

52:03reality um or or they think they need to

52:05be there immediately until they don't

52:06get started with the business or they

52:08think, "Oh, it's not for me." In

52:09reality, you can

52:12be at maybe 25 here and have

52:16you with your little agency or just just

52:18yourself, but you know more than that

52:20business and you can still make money in

52:24this gap. The question is how and what

52:26is the offer and that's what I'm going

52:27to reveal to you in a second. So, this

52:29is very key concept to anything. This is

52:31why you should always be trying to

52:33expand either your knowledge and this

52:35gap does represent your team as well. So

52:37I I talk a lot about it in my uh in my

52:39program, but this knowledge gap can be

52:40expanded through your team. It's it's

52:42kind of the combined of either your

52:43brain and then also all of the team that

52:45you have with it. So when you make a new

52:47hire, suddenly you can jump from 25 to

52:4935 because you brought on a really good

52:51AI developer who significantly moves or

52:53increases the knowledge gap. And this

52:55can also account factor in things like

52:57experience and things you've done before

52:59that allows you to be more valuable to

53:01them because you've done done the same

53:02thing before and you're going to get

53:04less issues when you do it.

53:06So step one, understanding that

53:08knowledge gap. I do have a pretty

53:11miserable uh eraser here. Sorry. So if

53:13you give me a second and so you

53:15understand what knowledge gap is. Tick

53:17tick. Now the question is when you have

53:20such a small knowledge gap or even

53:21non-existent, maybe you just found my

53:23video or found the space as a whole.

53:25You're like, "Wow, I want to get into

53:26this, but I'm at I I'm like either

53:28behind where the average business owner

53:30is or I'm about where this where they

53:31are at the moment. I kind of have a a

53:33basic knowledge of it as well. So, what

53:36you need to be looking at is how you can

53:37increase that knowledge gap and then

53:39make an offer that allows you to sell

53:40back down that and profit from that gap.

53:43All right. So, I'm going to introduce

53:44you to this concept of um AI

53:49tools

53:51[Music]

53:52consulting. Now, what is this? This is

53:55basically the most basic and simple

53:58thing that I could possibly come up with

53:59for getting into the space where you are

54:01essentially a consultant that helps

54:03business owners to identify the best AI

54:06tools to use in your existing processes

54:07and and for their for their team

54:09currently. Now, the reason this is so

54:11great is because it skips the entire

54:13step of having to do implementation and

54:14own a development team because it's kind

54:16of like you're just uh you're

54:20selling

54:21other people's

54:26stuff which as a general rule of thumb

54:28when you're starting businesses or

54:30getting started with running a business

54:32or you want to make money online the

54:33easiest way to do it and this is

54:35something I I wish I could sort of

54:37learned early in my journey is that it's

54:38easy to sell other people's stuff um

54:41where they've already got a clearly

54:42defined marketing process or they've got

54:44a really great product that they spend a

54:46lot of money on or the service is really

54:48good and there's a killer offer that

54:49comes with it. It's easy to sell other

54:51people's stuff where they haven't done

54:52all the hard work on the product or the

54:53service than to try and do it all

54:55yourself. So when I first started my

54:56very first online business through

54:58e-commerce and drop shipping, sure I was

55:00selling someone else's product, but I

55:02was still doing the entire business

55:04thing myself. And when you come from

55:05absolutely zero on the entrepreneur

55:07scale, trying to jump from there to

55:09running a whole business and having

55:11having a team that you got to manage,

55:12managing suppliers, uh managing finances

55:15and stuff like this, it's a lot to lot

55:16to pick up early on. Um, but if you

55:19aren't say fitting in as a salesperson,

55:21you're selling someone else's product in

55:22the framework of their business and

55:24they've already got everything dialed

55:25in. They've done all the hard work and

55:26you get to come along and sell their

55:28products and make money. So, that is

55:29something that that as sort of a side

55:31note um is a is a good practice. And in

55:34this case, we're kind of stealing from

55:35from that idea. We're basically selling

55:37other people's tools or selling other

55:39people's products without having to

55:40first build them ourselves. So, I've

55:43talked recently in my video about the

55:44new kind of AI agency model that's going

55:46to going to really surge this year. Um,

55:48and me, myself, and the team at

55:49Morningside and Peep Lurch. Um, I've

55:52been wearing this a lot. I don't know

55:53why I wasn't wearing this in videos

55:55more, but um, yeah, we've all been

55:56wearing it into the office, so I'll just

55:58come back and, uh, here we are. So, um,

56:02I'll do a bit more of a spectrum thing

56:04again that will also help break this

56:06down for you. So on the furthest end of

56:08the spectrum here in terms of like

56:12difficulty we have

56:18implementation by this I mean AI dev

56:23services svc services uh

56:29implementmentation implementation and

56:31then we have on this side I I don't know

56:34which one you put in front of the other

56:36I probably would go actually yeah

56:38education first

56:42cuz I mean any of you can watch a whole

56:44bunch of YouTube videos kind of compile

56:46it together use AI to help you write a

56:47nice script or make it into some some

56:50presentation um and then the sort of

56:53middle point here I'd probably actually

56:54put it sort of more to that side is uh

57:00consulting which is what you're doing

57:02here and this is kind of how I started

57:03off I I guess in both these when I

57:05started my journey I was making YouTube

57:06videos and then I was selling consulting

57:08through my YouTube channel and saying,

57:09"Hey, if you want to learn more about

57:10this AI chatbot I just built. You can

57:12book a call with me down below." And

57:13that was my original way of monetizing

57:15my my skills in the AI space and allowed

57:17me to build a lot of confidence on my uh

57:19on my uh the consulting course that I

57:21did. Um and that allowed me to

57:23eventually get down to the

57:24implementations that providing my own AI

57:26automation agency, Morningside AI. Now,

57:29the reason I'm telling you this is

57:30because um you don't need to unless you

57:33really really have either the resources

57:35or you want to go all out and and really

57:37learn these tools. Um by tools I mean

57:40the the service delivery platforms like

57:42Forest Flow, Agentive, Make um relevant

57:45AI, all these Vappy all these kind of

57:47service delivery platforms for AI

57:49agencies. This is is obviously the

57:51skills here are much better and much

57:53more valuable. But if you're just all

57:55going to get started, then these are

57:56also options for you. But if you're a

57:59developer, I'd highly recommend that you

58:00do swing that way first because it uses

58:02your skills. But some people are just

58:03starting with absolutely nothing. So

58:05this is a good place to start to just

58:07get familiar with the process of AI

58:09freelancing and and running your own

58:10business. So education, we're not really

58:12going to focus on that in this video,

58:13but what this offer is is essentially a

58:15consulting offer where, and I'm going to

58:17give you the process in a second, you

58:20are doing these AI tool consults for

58:22free. initially I'd recommend for

58:23businesses and you could you can just

58:25continue doing them for free as a lead

58:26magnet as we're going to go going to go

58:28into in a second but this is so that you

58:31don't have to jump immediately to this

58:34where either you are deving this stuff

58:35yourself and in that case need to spend

58:37maybe uh not not maybe you definitely

58:39need to spend a few months of of

58:41learning and spending and spending time

58:43consistently practicing and and

58:45following tutorials and consuming

58:46content on YouTube about the the best

58:48use cases and how to build them and then

58:49getting to a stage where you're actually

58:51able to pitch businesses and you do all

58:53the lead generation stuff as well. So,

58:54there's quite a lot to that and this is

58:55definitely a great starting point for

58:57people with either business backgrounds

58:58and they can hire for developers

59:00immediately or for developers who can

59:02start doing it themselves. But some of

59:04you with no business experience and even

59:06no technical experience as well, this is

59:07a better place to start. Um, so let me

59:10just rub this off. Um, actually I can

59:12just jump straight into it. So basically

59:14the AI tools consulting process is it's

59:17pretty straightforward. Um what I would

59:19recommend you do is firstly create that

59:21knowledge gap right so even if you

59:22starting at zero on that scale I drew

59:25before you can

59:33um you can number one find

59:39tools and I'll explain how you monetize

59:42this in a second so just just stick with

59:43me um it's actually pretty pretty nifty

59:46and also how you get clients. I'm going

59:48to touch on that briefly here as well.

59:50Um, doesn't need to be something crazy.

59:52Uh, but fine tools. This means you're

59:54going to be going on things like

59:56YouTube. Now, thankfully, there's people

59:59like myself and others. I mean, I think

1:00:02by the time this video goes out, I will

1:00:03have just posted one about AI tools that

1:00:05I use in my business. So, uh, to make

1:00:08quite a lot of money as well. So, I'll

1:00:09put these things up here. Um, it'll be

1:00:11up there and maybe in the description as

1:00:13well. my recent AI tools video that I

1:00:16did. Um, but you can watch a bunch of

1:00:18YouTube videos to find the best tools. I

1:00:20mean, there's always these videos about

1:00:21I tried a bajillion AI tools and these

1:00:23are the best ones. So, I mean, if these

1:00:25guys are

1:00:26really, they're not lying. They've done

1:00:28a lot of hard work for you. Um, and you

1:00:30can find some great tools watching these

1:00:32videos. Now, my process that I'd

1:00:33recommend is that you watch you find

1:00:35these tools by YouTube videos. It's

1:00:37probably going to be the best way to do

1:00:38it. Um, and then you go um and make a

1:00:45list. I'd go put these on a a Google

1:00:48sheet or something and just put a whole

1:00:51bunch of links and names and everything

1:00:53and and do a little bit of

1:00:54categorization even. You can say, "Hey,

1:00:56this is a creative thing or an AI image

1:00:58generator or video generator, etc." And

1:01:01then

1:01:02thirdly, I would deep dive.

1:01:08So that means on each of these, actually

1:01:10I wouldn't do each of them. I would make

1:01:11sure that this list you kind of narrow

1:01:13it down to a short list of the best ones

1:01:15based off what these guys in these

1:01:16videos are talking about. Um you maybe

1:01:18pick a bunch in a couple different

1:01:19categories like okay these seemingly the

1:01:21best image generators, the best video

1:01:23generators, etc. the best writing tools.

1:01:26And then you start to you make a short

1:01:28list that you're going to do a deep dive

1:01:29on. Now deep diving means I would then

1:01:31go and go uh YouTube search again

1:01:36and but specifically for that to talk.

1:01:38So I would be saying okay let's find say

1:01:41it was runway and you search up runway

1:01:43AI tutorial and you start to go through

1:01:45it and watch you see what people are

1:01:46doing with it and you see best runway AI

1:01:49use cases or best video generation um

1:01:52best AI video generation use cases and

1:01:55you find them either on uh YouTube is a

1:01:57great place to do it but some of these

1:01:58tools are so new and so obscure that you

1:02:00won't even find much you might need to

1:02:02go to a Google search even basically do

1:02:04a deep dive and see if anyone has has

1:02:05revealed some cool stuff you can do with

1:02:07this just to build up the context

1:02:08objects that you have on it. And then I

1:02:10would also go and try it

1:02:16yourself. And so once you've done that

1:02:18and you've you've had a bit of a play

1:02:19around with it, you've got familiar with

1:02:20it and you're like, "Okay, I know how

1:02:22this works. I know that I know that

1:02:24Runway has this feature that allows me

1:02:25to go from image to video. Okay, great.

1:02:26That's now I've sort of pinned that and

1:02:28you're building your knowledge gap just

1:02:30by watching videos and having a play

1:02:31around. It's pretty cool." Um, and

1:02:34ultimately number four, I would make

1:02:36like a tools

1:02:40db where uh I'd like you to do this on

1:02:43notion if you not haven't used notion

1:02:45before n o t i o n notion and you can

1:02:50create a bit of a tools database. Um,

1:02:52use whatever you feel like really. You

1:02:53could use Google Docs or you could use

1:02:55pages or or who use pages? Word or or

1:02:58whatever your favorite bloody document

1:03:00processing thing is, but some kind of

1:03:02database where you've gone on these

1:03:03Gives and then you've got runway bam bam

1:03:06bam category this this this best uses

1:03:09for this this features this this this

1:03:10and you start to create your own

1:03:12internal database of tools and I would

1:03:15highly recommend you use some kind of

1:03:16like a database feature with a notion.

1:03:18So you can create your own columns and

1:03:20you can add in you can do this in sheets

1:03:22as well but notion is a lot easier for

1:03:23filtering etc. Um, and then you can set

1:03:25up filters like, okay, this is a

1:03:27creative tool. Okay, this is uh could be

1:03:29useful for this specific use case. And

1:03:31you start to build up this internal

1:03:33knowledge base or database of the best

1:03:36tools. And you've ranked them in in

1:03:37certain ways so that when it comes to

1:03:39delivering that service of this AI tools

1:03:41consulting, you can go, okay, well,

1:03:43we're looking for some creative tools.

1:03:44You're on a call with them, as I'm going

1:03:45to break down the process in a second,

1:03:47but you're on a call with them and they

1:03:48say, I we've got a we've got a team who

1:03:50does uh SEO writing for us. Okay, great.

1:03:52Well, um you just go on to your little

1:03:54thing, not probably not on the call, but

1:03:56um uh afterwards or in the in the report

1:03:58making phase, which I'll touch on in a

1:04:00second, and you can quickly pull these

1:04:01up and you've got all this context on it

1:04:03and you can read through it and you go,

1:04:04"Oh, okay. Yeah, I remember that tool

1:04:05now. Great, great, great. Okay, now I

1:04:07can put that into the recommendations

1:04:08list for them." So, that's the process

1:04:10to start. And by this point, if you've

1:04:12got a a tools DB fil thought out with 50

1:04:14tools and you've done a write up on each

1:04:16of them and you've had a play around

1:04:17with them as well, you've got a

1:04:19significant way down that say most of

1:04:22business are here. You're now definitely

1:04:24moving over this way and you start to

1:04:26know what these tools are good for. And

1:04:28again, you haven't had to go and build

1:04:30all this stuff yourself. You're purely

1:04:31just recommending things at the at this

1:04:33time. So to break break down what this

1:04:36would actually look like in in reality,

1:04:38I'm probably going to run a whiteboard

1:04:39space here, but

1:04:41um the way you'd pitch this is that you

1:04:44have some kind of three-step process or

1:04:45something. So I'd say it's a free and

1:04:48I'll get into how you market it in a

1:04:49second, but free um AI

1:04:55tools. I'd probably play around with the

1:04:57naming a bit more um to make it sound a

1:04:59bit more sexy. Um, but I'm sure you can

1:05:01figure that out with the help of PL with

1:05:03OGBT. But with principle, you say one,

1:05:06we hop on a free

1:05:10consult where you ask them a whole bunch

1:05:12of questions and you learn about the

1:05:14business and the different departments

1:05:15and you sort of note it all down. You

1:05:17say, "Okay, great. Well, after this

1:05:18call, just to make it extra easy for

1:05:20you, I know this is how I would have

1:05:22approached it when how I did approach it

1:05:24when I was doing my consulting calls is

1:05:26don't try to put yourself on under the

1:05:28pump to deliver on that call. You are

1:05:30not if you're just starting out, you're

1:05:31not good enough. You don't know enough

1:05:32and you can't be expected to know enough

1:05:34to just be able to be shooting off tools

1:05:36like like immediately knowing what they

1:05:38should fit into within the different

1:05:40business departments. Maybe if you've

1:05:41done enough here, you could do confident

1:05:43to, but just to get started for most of

1:05:45you, I would say do the free console and

1:05:48then say, okay, step two of our process

1:05:50is we'll um

1:05:52match plus find

1:05:55more. So you can say we've got this this

1:05:57internal database that we use that's got

1:05:59all the best tools um and we match them

1:06:01up uh internally, but we'll also go out

1:06:03and do a a further deep dive for your

1:06:06business and for your industry

1:06:08specifically. So this way you can handle

1:06:09a lot of different industries and you

1:06:11might be able to come up with some some

1:06:12really cool ones that are specific to

1:06:13that industry that you find. Um and here

1:06:16you can use things like um there's an AI

1:06:18for

1:06:21that

1:06:24or or you got future

1:06:28tools. So there's these there's an AI

1:06:31for that. There's a website where you

1:06:32can kind of just search up if there's an

1:06:34AI tool for the thing you need. uh

1:06:36future tools also is similar. I'll put

1:06:38both those links down below if you want

1:06:40to check those out. But this is step

1:06:42step two where you're matching them with

1:06:44your internal ones and also finding

1:06:46morph. And then step

1:06:48three is a

1:06:53report as a report. So you write up a

1:06:56report for them. You can use like some

1:06:58kind of Canva template or you could just

1:07:00use a nice letter head and a bit of

1:07:02branding on your uh Google Docs or you

1:07:04could just just do it blank document. I

1:07:06mean initially just to keep things

1:07:08simple. Don't let that stuff hold you

1:07:09back from just doing it. Um and you

1:07:11write up a report for them and you hop

1:07:14on another call or you just send that to

1:07:15them directly. I probably hop on another

1:07:16call to get to sort of run through that

1:07:18process and get give them the idea and

1:07:20walk them through how you want to do it.

1:07:21get a bit of feedback cuz all this is

1:07:23going to be helping you to move further

1:07:25down this and just a key part in getting

1:07:28to this point of implementing is getting

1:07:30comfortable on those sales calls and

1:07:32being like knowing how to deal with

1:07:34people and you start to realize oh

1:07:35there's all these different characters I

1:07:37can meet and I kind of know how to

1:07:39handle that one per that kind of person

1:07:40now and it's just building up those

1:07:42entrepreneurial and business skills

1:07:44slowly but surely and this this way you

1:07:47get two charts so the the free consult

1:07:49and then you break down the report for

1:07:51Now, I know what you're asking, Liam.

1:07:53How do I get clients and how do I make

1:07:55money from this? Okay. Well, first

1:07:58things first is that with vegan started,

1:08:00money is not really I know it might be

1:08:02like, oh, I need I need to pay my bills

1:08:04and stuff, but you should not be

1:08:05starting one of these businesses. If

1:08:07you're in a position where you are like,

1:08:09okay, I need to I need to pay my bills

1:08:11next week with this. That is it's not

1:08:13going to work. maybe one in a 100. Some

1:08:14of them will just finesse and like

1:08:16hustle their way to making money, but

1:08:18for the most part, you are going to need

1:08:20to give this a significant amount of

1:08:22time to get up and running. And that

1:08:23means taking on free clients and

1:08:26building up your skills slowly but

1:08:27surely and your

1:08:28confidence. You might be doing these

1:08:30free consults for for one or two months

1:08:32even if you depending on the volume of

1:08:34them you do until you're really really

1:08:36good at it and people are are really

1:08:38happy with this the end result. So this

1:08:40is really the key you think. are they

1:08:42happy afterwards? So getting feedback on

1:08:44that call or even getting feedback after

1:08:46by email is essential. Checking in with

1:08:48them maybe a week or two after they have

1:08:50implemented them or probably a week or

1:08:52two is about a good good amount of time.

1:08:53And if they're not saying, "Wow, yeah,

1:08:54this this has really been massively

1:08:56helpful," then you need to work work

1:08:57more on this um in your matching

1:08:59process. But going back to getting

1:09:01clients and making money, as I said,

1:09:03first off, making money is not the

1:09:05should not be the goal initially. If you

1:09:07want to really get to the end and be

1:09:08making a lot of money, you need to take

1:09:10that off your brain initially and just

1:09:12work through the process slowly of

1:09:13getting used to talking on calls and and

1:09:15building a knowledge gap. Um, and this

1:09:17is really that the flywheel for you to

1:09:18do that. But to give you the the longer

1:09:22term uh strategy, the process here is

1:09:25going to be the

1:09:28monetization is from eventually you can

1:09:32use your affiliates

1:09:37So, you can get 20 15% uh of the monthly

1:09:41recurring that these companies sign up

1:09:42to. If these are decent sized companies

1:09:44and they're going to be high quality or

1:09:46or long-term users of these apps, then

1:09:48if you do enough of these free audits,

1:09:49you're going to build up some passive

1:09:50income for yourself where you might

1:09:52making a few hundred and eventually a

1:09:54few thousand per month, right? So that's

1:09:56really determined by the quality of the

1:09:57people that you're putting through

1:09:58because if you're getting some and also

1:10:00the quality of your matching of the

1:10:02tools um and also the affiliate

1:10:04commission that they pay out but uh

1:10:07you'll see a lot of churn in terms of

1:10:08okay I recommended that but they never

1:10:09end they used it for 2 months and they

1:10:10fell off. If you really find a good tool

1:10:12for them then they will continue to use

1:10:14that. So that really comes down to you

1:10:15but also making sure that the business

1:10:16that you choose is uh is someone who's

1:10:19going to be a long-term user of it and

1:10:20not just kind of jump around either

1:10:21they're too small to really stick with

1:10:23it etc. But the second way, and it's

1:10:26probably more of a longer term one that

1:10:28you look to do, is through

1:10:32partners. So, what you're doing here is

1:10:34essentially taking people from being

1:10:35unaware or or or not really implementing

1:10:37AI into their business or being familiar

1:10:40with it to the point where they're now

1:10:42experimenting with it and they're like,

1:10:44"Oh, well, this is kind of cool. I they

1:10:45start to see the value." And it's like

1:10:47when people first started putting

1:10:49websites up and they started getting the

1:10:51odd call from them. It's like, "Hey, I

1:10:52just found your website." or they get an

1:10:54email like, "Hey, I just found your

1:10:55website. Was wondering if you could do

1:10:57this." And it's it's they start to see

1:10:58it. Okay. Like now I get this now. I get

1:11:01this web thing. And in this case, I get

1:11:03this AI thing like these really helpful

1:11:04tools where they can search the whole

1:11:06web and pull things back or write

1:11:07reports for us.

1:11:09Um, but the thing about that is that

1:11:12you've just moved them down closer

1:11:14towards the point where they're ready to

1:11:15go to the implementation step. they're

1:11:17ready to maybe hop onto a a a more

1:11:19expensive consulting offer and an AI

1:11:22audit with someone who can really do the

1:11:23entire AI audit process and then

1:11:25stepping through to implementation. So

1:11:27partners here at Morningside, we have de

1:11:30partners because we get so many leads

1:11:31from this awesome channel and and you

1:11:33guys who support us so much because

1:11:35alongside you guys are going to start

1:11:36agencies and a lot of my bigger videos,

1:11:38we get like thousands and thousands

1:11:41thousands of business owners and often

1:11:42and we're seeing more and more like

1:11:44higher tier and high level um business

1:11:46owners and larger companies reaching out

1:11:48to us uh because of the size of the

1:11:50channel as as much as it's grown. So

1:11:51that's been awesome. And we have

1:11:52partnership deals. We have the ex excess

1:11:54leads that we can't really handle or we

1:11:56don't we don't necessarily want to do

1:11:57that kind of project if I'm honest. Um

1:11:59we have partners who we offer them to

1:12:01and if they close a deal um we get

1:12:03anywhere from 10 to 20% uh depending on

1:12:05the partner um and the side of the deal.

1:12:07So you can do the same thing. There are

1:12:09people who are coming in and they do

1:12:11have this side but they don't want to do

1:12:12this side. And you can find them either

1:12:14in my free community or in paid

1:12:15communities like my accelerator. Of

1:12:16course, I'm not like I don't want to

1:12:18like make this a sales pitch, but if

1:12:20you're looking to find high quality

1:12:21implementation partners, then you may

1:12:23need to spend a bit of money to find get

1:12:25in a group or get in an area or a place

1:12:27online where you can find those dear

1:12:29partners or even look locally. You can

1:12:30go on Google Maps and there might be

1:12:31some AI development shops popping up in

1:12:33your city um and you can get in touch

1:12:35with them and say, "Hey, I might have

1:12:37some leads for you. Could we set up a

1:12:38deal here?" So this can be sort of 10 to

1:12:4120%

1:12:43um of say maybe a five to 10k deal

1:12:48initially. Um so that's good money. And

1:12:51then affiliates, you'll start off a few

1:12:53hundred, maybe like $200 and then get up

1:12:55to maybe $1,000 per month.

1:12:58Um yeah, that's not going to happen

1:13:00overnight, but it's still money and

1:13:02you're still building up your building a

1:13:04bit of momentum with your AI business

1:13:05and in the AI space. Now, the final step

1:13:07is, of course, how do you get clients?

1:13:09How are you going to attract people to

1:13:10this offer of yours? And I'm glad you

1:13:12asked, cuz I've got a simple solution

1:13:13for you. And this is pretty much what I

1:13:15recommend to uh everyone. Um, so you

1:13:18need to turn people from these unknown

1:13:21people who don't know about your

1:13:22business at all or the offer that you

1:13:24have into people that are booking in

1:13:26these free

1:13:27audits, free tool

1:13:32audits. And the best ways to get people

1:13:35initially to get things off the ground,

1:13:37um, there's a few strategies. Firstly,

1:13:39warm

1:13:42outreach. Alex Mozi has a great one on

1:13:45warm outreach, which I'm not even going

1:13:46to try to try to outdo. Um, I'm going to

1:13:49put it in the description below for you.

1:13:50Basically, you have a lot of people that

1:13:53you have contact to, either your old

1:13:54email contacts, your Facebook friends,

1:13:55your Instagram followers, all the people

1:13:57in your phone contacts. And these are

1:13:59people who either may themselves want

1:14:01this kind of thing and say, "Hey, look,

1:14:03I've I've built this entire database of

1:14:05AI tools. I've been spending a lot of

1:14:06time working with them. Um, and I'm

1:14:08doing this thing where I'm now helping

1:14:09businesses for free um to do a a

1:14:1230-minute AI tools audit. Um, do you

1:14:14know anyone?" Well, this is the pitch in

1:14:16the warm outreach, and this is what's

1:14:17going to be included in that in that

1:14:18podcast from Alex Moz. It's done part of

1:14:20his 100 billion leads book, but it's the

1:14:22audio version again, 100% free. Um, but

1:14:25that you can ask them if you know anyone

1:14:28who would be interested in this kind of

1:14:30offer, right? And they either will know

1:14:33people themselves or know people that

1:14:35would be interested and they say, "Hey,

1:14:36yeah, great. I can put you in touch."

1:14:38Um, or they may be interested in it

1:14:40themselves, but by not asking them

1:14:41directly, it's not like, "Hey man, can

1:14:43you buy my stuff?" or like, "Can I do

1:14:45this for you?" The fact that it's free

1:14:47makes that actually a bit a bit a little

1:14:49less bad. Like, you probably could just

1:14:50ask them directly and say, "Hey, like,

1:14:53do you do you want me to do a free AI?

1:14:54What if we I know a whole bunch about

1:14:55these things. I just have a quick check

1:14:57over take 30 minutes. Um so that's str

1:14:59one. I'll leave a link to that down

1:15:00below. Um next strat would be cold

1:15:06email. This one takes a bit more to set

1:15:08up and honestly wouldn't recommend it

1:15:10for beginners, but um if you are

1:15:11familiar with cold email, um you could

1:15:13definitely blast out this kind of offer

1:15:14once you test the copy enough um to get

1:15:16them say, "Hey, like yes, sure, I'd be

1:15:18interested." Um depending on the

1:15:20targeting that you do, of course, cold

1:15:21email is a whole whole different box of

1:15:23frogs. Um, a cold email is one because

1:15:25you can reach out to like hundreds of

1:15:26people a day with the same offer and

1:15:28start booking in calls and moving them

1:15:29through that process. And then of course

1:15:30we have organic

1:15:34content. So you can try to on on

1:15:36LinkedIn make social posts and stuff. I

1:15:38wouldn't I'd probably go the YouTube

1:15:40side personally because then you can

1:15:42make videos like uh best AI tools for

1:15:45for builders or plumber. I keep using

1:15:47builders and plumbers example. I think

1:15:48it's such a an interesting idea about AI

1:15:51service providers for these industries.

1:15:53But making YouTube videos talking about

1:15:54industry by industry the best tools. Um

1:15:56you could even just use chatbt or or 01

1:15:59or whatever fancy model that you want to

1:16:01use these days to help you think through

1:16:03the problems that businesses would face.

1:16:04And then you without even really knowing

1:16:06it, sure you could jump on Reddit, you

1:16:08could jump on YouTube and do a bit of

1:16:09market research about the problems that

1:16:11a different niche would face. And then

1:16:13you can match up with your tools

1:16:14database. you can go okay well this tool

1:16:16this tool this tool this tool for these

1:16:17different parts of the business that I

1:16:18know they have issues with then you can

1:16:20make your video six AI tools relatives

1:16:22or etc and you just kind of go through

1:16:24the list and because those are tagged by

1:16:26the niche that you put in the in the

1:16:27search term it's quite in the title when

1:16:29people are searching for AI stuff

1:16:30realtors there's a chance you're going

1:16:32to pop up and then there's a chance it

1:16:34will also book in the free consult with

1:16:35you and in that video you can say like

1:16:38literally just before you get stuck into

1:16:39it or and then probably towards the end

1:16:41as well do two CTAs and that say hey if

1:16:43you're interested in a free AI tools

1:16:44consult for your business. Head down

1:16:46below and book in a call with me. Bam.

1:16:48And once you've got a good amount of uh

1:16:51traffic coming from this, you can

1:16:52actually turn this for free and you can

1:16:54start charging um $100 for it. You know,

1:16:57my my consulting calls started off at I

1:17:00think$150 or 200 bucks. Jack that up to

1:17:03$300 cuz I getting so many. Jack it up

1:17:05to $500 cuz I was still getting so many

1:17:07just like dozens and dozens of calls.

1:17:09Um, and I made $4,300 within my second

1:17:13or third month of doing YouTube and and

1:17:15consulting, right? And then I put that

1:17:17up to $1,000 and people still paying for

1:17:19that. And I made probably $15,000 off

1:17:22999 $997 calls um doing consulting. So

1:17:27there's different people pay for it. If

1:17:29you can get this up and running, that's

1:17:30how you get the money coming. But

1:17:32through warm outreach, I would recommend

1:17:33that you do it for free. Um, and build

1:17:36up until you're getting these really

1:17:37happy customers and you know that you're

1:17:38actually providing a good service. Um,

1:17:40so yeah, there's also things like ads,

1:17:42but um, for beginners, I wouldn't

1:17:43recommend you trying to own Facebook ads

1:17:45to just try and get some u get some

1:17:47clients. But I hope that makes sense.

1:17:50Knowledge gap. You're starting way down

1:17:53there. This is your process to get some

1:17:55kind of knowledge gap. And the way that

1:17:57you monetize this knowledge gap is

1:17:58through a kind of offer like this where

1:18:01you're just doing consultations to help

1:18:02them match up the best AI tools. You're

1:18:04selling other people's products. You're

1:18:06getting compensated through affiliates

1:18:07and then through passing these people

1:18:08off cuz you're doing the hard work

1:18:12of maybe not harder than actual

1:18:14implementation, but you're doing some

1:18:16good work here where you're actually

1:18:17you're moving them down from unaware or

1:18:20unfamiliar with AI to being more

1:18:21receptive to implementation. So, we

1:18:24found that if business owners don't

1:18:26understand the tech and understand that

1:18:28why it's good for their business and the

1:18:30fact that this what we're going to be

1:18:31building for you is actually really the

1:18:33best play for you right now, then

1:18:35there's no chance that they get to

1:18:36implementation and you can't sell. You

1:18:37can never sell 20, 30, $40,000 worth of

1:18:40AI uh for an AI project if they don't

1:18:44understand all of this stuff. So, you're

1:18:45doing a key part of the process and you

1:18:47can compensated by passing that off to

1:18:48people once they're ready. And of

1:18:50course, over time, you will build up

1:18:52more skills and you build up more

1:18:53experience. You may want to go into

1:18:55charging directly for this. Once you've

1:18:57got a better lead generation system, you

1:18:59can start charging for it. Maybe you put

1:19:00up a little education product as a lead

1:19:02magnet instead. You start running some

1:19:04traffic to the, you know, there's all

1:19:05these different players and you try to

1:19:06move down and and expand your offering.

1:19:08So, I started off I started off on

1:19:11YouTube making YouTube videos talking

1:19:13about the cool AI builds I saw. You can

1:19:14go and look at it on my channel. I was

1:19:16just doing what was interesting to me

1:19:18and building my knowledge gap and

1:19:20putting up coding tutorials and me

1:19:22building these different things. I loved

1:19:23it and and I realized there were lot

1:19:25there was a big market for it as well.

1:19:27Um and that's how kind of got my channel

1:19:28off the ground and built my knowledge

1:19:30gap and I started consulting. So I was

1:19:31technically educating on my channel and

1:19:33I started doing consulting like I said

1:19:35making lots of money off consulting

1:19:36within a few months of starting my

1:19:38YouTube channel. Um, and then I started

1:19:41at Morningside AI, my AI automation

1:19:42agency to do the implementation and

1:19:44basically capture more of the value

1:19:46that's possible within the AI space. It

1:19:48will come come a long way from me and my

1:19:50spare bedroom. Um, and I'm extremely

1:19:52proud of what we've done and I can't

1:19:54wait to hear about what all of you do.

1:19:56And I know I know I know it's so

1:19:57difficult to get off the starting box

1:19:59when you feel like you have absolutely

1:20:01no clue what to do. Like I I

1:20:03fully understand. I was in your position

1:20:05like six six years ago when I was

1:20:07starting an online business. I know how

1:20:08that feels and I'm just really trying I

1:20:10hope with this to give you that little

1:20:12nudge and that that small wind and the

1:20:15small steps that you need to start

1:20:16building a bit of momentum and really

1:20:18building your entrepreneurial skill set.

1:20:20So that's all for this video

1:20:24guys. If you're looking to use the AI

5 Specialization Routes for Beginners

1:20:26space to build businesses to make money

1:20:28and to change your life generally then

1:20:30this video is probably the most

1:20:31important one you're going to watch this

1:20:33year. Um because in this video I'm

1:20:34breaking down five different ways that

1:20:35you can start an AI business using the

1:20:37same formula that I've used to change my

1:20:39life with it. So if you're not familiar

1:20:41with me or my channel, my name is Lee

1:20:43Mley and about a year and a half ago, I

1:20:45got into the AI space sensing that there

1:20:46was this big opportunity brewing and

1:20:48I've been able to over the past 18

1:20:50months go from literally zero in AI

1:20:52income to multiple six figures per month

1:20:54with me and my team. So, we've been able

1:20:56to come in and learn this AI space

1:20:58rapidly, exactly how I'm going to share

1:20:59with you later on in this video, how to

1:21:01actually learn the stuff you need to

1:21:02build businesses in the AI space. Going

1:21:04to be teaching that and giving you a

1:21:06crash course and a step-by-step list on

1:21:08how to learn the stuff required for five

1:21:10different AI business models, which I'll

1:21:11share at the end. So, very important

1:21:14video. If you are serious about it, then

1:21:16watch this thing because this is the

1:21:17distillation of a year and a half of my

1:21:20learnings in the space and also the most

1:21:22recent styles of AI agencies, which is

1:21:24the model you're going to be learning

1:21:25that are actually working and and people

1:21:27are actually able to to make money with.

1:21:28So, going to start off with a little bit

1:21:30of more background. So, I'm going to rub

1:21:32this off. Give me a second. A little bit

1:21:33more background to actually making money

1:21:35with AI in general and how how you're

1:21:37able to do it. So, might people might

1:21:38think you need a an AI SAS, right?

1:21:42You're probably thinking, "Oh, I need to

1:21:43have like a really bright idea and I

1:21:44need to go and raise a bunch of money

1:21:45and make make this big thing out of it."

1:21:47Uh, no. We don't really want to do that

1:21:49because that's not accessible to most of

1:21:50us. I mean, I didn't have like a million

1:21:53dollars just sitting in the in this in

1:21:54the in the safe to to go and throw it at

1:21:56one of these startups or I didn't have

1:21:58VC connections to go and get money. So

1:21:59SAS is kind of off the board immediately

1:22:01unless you do the kind of no code SAS

1:22:03route, etc. But generally, if you're

1:22:05looking to just get started in online

1:22:07business specifically, um it's going to

1:22:08be something closer to

1:22:11agency. And agency is when you're going

1:22:13to have clients who come and you pitch

1:22:15them on and say, "Hey, look, I can build

1:22:17that's a it's going to be a hammer. I

1:22:19can build this for you and then they

1:22:21give you money back for it." Right? So,

1:22:24you don't need any upfront cost. Well,

1:22:25there's some upfront cost for software,

1:22:27etc., but it's nothing like a SAS where

1:22:28you need potentially millions of dollars

1:22:30of funding to get it to get it off the

1:22:31ground properly. But agency business

1:22:34model, which I'm sure you're familiar

1:22:35with SMMA and all the all the other

1:22:36agency business models, there's a

1:22:38million of them, you're giving something

1:22:40to your client and they're paying you in

1:22:41return. So it's just client and and

1:22:43patron to some degree relationship. So

1:22:46beyond that, you also have in the AI

1:22:48space, but this is based on top of the

1:22:50need for AI solutions. So all of these

1:22:53business models need to be based on some

1:22:55kind of demand in the AI space and where

1:22:56money can actually be exchanged. So

1:22:58agency opportunity in the AI space is

1:23:01based on the fact that we have uh

1:23:03millions and millions of businesses and

1:23:04companies around the world who have

1:23:05money and they need and they're willing

1:23:07to invest in getting AI solutions for

1:23:09their business so they can out compete

1:23:10their competitors and actually benefit

1:23:12from some of the technologies. This is

1:23:13what the whole AI agency model that I've

1:23:15been talking about for over over a year

1:23:16now is about is this AI solutions demand

1:23:20which is is really rapidly growing um

1:23:22throughout the world. So secondly, aside

1:23:25from agency, you also have

1:23:30education. Now this is a massive need in

1:23:34the AI space right now as well. And if

1:23:37you're able to combine agency and

1:23:38education where it's educating your

1:23:40niche, there is so much money to be made

1:23:42collectively from this as well. So what

1:23:44I'm going to teach you is first of all,

1:23:46you can't educate anyone unless you've

1:23:48actually done the thing. So, I'm going

1:23:50to teach you how to start an agency and

1:23:51get off the ground and learn the stuff

1:23:52that will then allow you to also educate

1:23:54people. Uh, but the agency is really

1:23:56where you're going to have to start cuz

1:23:58if you're a LinkedIn AI guru who's all

1:24:00all they ever done is done consulting,

1:24:02no one's you're never going to be able

1:24:04to get paid a lot for that information

1:24:05because you simply don't know your

1:24:07So, uh, when it comes to starting an AI

1:24:10business, we don't really want to go the

1:24:12SAS route. We can't jump to consulting

1:24:15or education immediately cuz we don't

1:24:17really know anything. We haven't got any

1:24:18tangible proof of how we've been able to

1:24:20help businesses with AI and create

1:24:22value. So education you can't go to

1:24:24immediately but generally this is built

1:24:29on need for

1:24:33clarity that's a T/

1:24:38strategy businesses and people all over

1:24:40the world are needing clarity and

1:24:42strategy on the AI space and everything

1:24:44that's happening in it. So education is

1:24:46still a massive opportunity for you. But

1:24:47it has to come down the line. You have

1:24:49to actually learn the thing and do the

1:24:50thing first or you're never going to be

1:24:51much of an educator. This could be in

1:24:53the real estate niche, could be any

1:24:55niche, you can cut it. There's a need

1:24:57for education. Whether you're doing like

1:24:59enterprise consulting on how to adapt AI

1:25:01to their dev teams, like there's so much

1:25:03there, but you first must start off with

1:25:05an agency, which is what I'm going to be

1:25:06talking about for the rest of this

1:25:07video. Okay? So we're not going SAS,

1:25:09we're not doing education. You got to

1:25:10start off with an agency. And now you

1:25:12get the three problems of starting an AI

1:25:14agency which I've painfully learned uh

1:25:17through myself and through all all the

1:25:19people in our our broader community.

1:25:21There's three problems that you have to

1:25:22solve when starting one of these

1:25:23agencies. And this is what exactly what

1:25:25my uh the five different strategies I'm

1:25:28going to give you at the end of this

1:25:29video are going to be based around. So

1:25:31five different types of AI agencies that

1:25:33occupy different types of niches and I'm

1:25:36going to give you the blueprint to start

1:25:37them. But you first need to understand

1:25:38that we have three problems when

1:25:40starting an AI agency. Firstly, you

1:25:43have expertise technical. So somewhere

1:25:47in your agency or your brain needs to be

1:25:49some kind of AI expertise. Understanding

1:25:52how to build things, how to use

1:25:55different software and different tools

1:25:56or even code yourself to build systems

1:25:59that create value with AI. So you have

1:26:01to have some kind of technical expertise

1:26:02and that's what we're going to be the

1:26:04step-by-step strategies that I'm giving

1:26:05you after this. That's what they really

1:26:07focus on on building up within a two to

1:26:09three month period. So, first thing you

1:26:11need expertise uh technical expertise

1:26:13either within your brain as the agency

1:26:15owner when you're starting out or you

1:26:16need to hire it and bring it in as a as

1:26:18a CTO, a lead developer or just as

1:26:20developers in general. Secondly, you

1:26:22need lead

1:26:25flow. So, you need some way to generate

1:26:27leads and have them coming across your

1:26:29desk and reaching out to you to ask to

1:26:30work with you um or replying to your

1:26:32emails or however you're generating

1:26:33leads. And then

1:26:35finally, you need credibility/ authority

1:26:39cuz businesses are skeptical about AI

1:26:41right now. And if you can't provide some

1:26:43kind of reason as to why you you're the

1:26:45guy for the job and you can actually

1:26:46deliver what you say, uh they're not

1:26:48going to buy from you. So, uh you need

1:26:50to figure out a way to either tackle

1:26:53these problems one by one or to tackle

1:26:55them all at once, which is the strategy

1:26:57that I recommend and that I'm going to

1:26:58give you now. So, we need to somehow get

1:27:00technical expertise either in our brain

1:27:01or we need to hire it. We need to find

1:27:03some way of generating leads and

1:27:05bringing people to to in contact with

1:27:07our business and our services. And then

1:27:08we need the credibility and authority to

1:27:10close them. Like why I can actually do

1:27:12what I say I'm going to do. Why I know

1:27:13this is going to help your business and

1:27:15it's not just some AI hype crap that is

1:27:17actually just going to waste your time

1:27:18and money. So need to achieve all these

1:27:20three. Remember that. Okay. Now the

1:27:22strategy to solve this for most of you.

1:27:24So remember we need to solve all three

1:27:26of those problems as quickly and

1:27:27efficiently as possible and with the

1:27:29least amount of pain. Um there's always

1:27:31going to be pain, but we're going to try

1:27:32to do it with as little as possible.

1:27:34This is from my own experience and also

1:27:36from hundreds of people now in the

1:27:38community, broader community, um in the

1:27:40AI agency space, both free and paid

1:27:42community who are using something

1:27:44similar to this and were able to see

1:27:45success with it. So strategy revolves

1:27:48around one learn the

1:27:54thing and the

1:27:56thing is the area or specific type of

1:28:00narrow expertise that you want to build

1:28:02within your agency first. So we've got I

1:28:05don't know how I'm going to draw this

1:28:06but

1:28:07uh you can

1:28:09have

1:28:12broad broad expertise where you have to

1:28:14know a toz everything about a subject

1:28:17and everything in between or you can

1:28:19just say I'm just going to

1:28:21learn this little bit and be an expert

1:28:25at

1:28:26that a lot easier initially it's going

1:28:29to take a lot less time for for in terms

1:28:31of my AI expertise over the past 18

1:28:33months I have started initially niche

1:28:37and and an expert in a small area which

1:28:39was originally custom knowledge chat

1:28:40bots if you guys remember that um way

1:28:42back in March last year I was making all

1:28:45these videos about how I can build these

1:28:47custom knowledge chat bots and giving

1:28:48you coding tutorials and all these

1:28:49business owners oh yeah can you build

1:28:51one of these for me so I started off

1:28:53niche and then through running my agency

1:28:55and making more videos and getting on

1:28:56calls with consulting calls with people

1:28:58I then

1:29:00slowly broadened my expertise to the

1:29:03point where now when it comes to AI

1:29:04solutions for businesses and and how AI

1:29:06can help them, it's a it's a very broad

1:29:08understanding of it. So you can't expect

1:29:10to start off broad, you need to start

1:29:12narrow, which is why I mean when we say

1:29:13learn the thing, when you see the five

1:29:15different niched agency strategies that

1:29:17you're going to get next, it's all about

1:29:19picking one area. So whether you are

1:29:21starting here and going, okay, I'm going

1:29:23to start there or I'm going here and I'm

1:29:24going to start here. We need to start

1:29:27somewhere niche and narrow and we're

1:29:28going to learn the thing. So that's step

1:29:30one and simultaneously you want to

1:29:35share

1:29:37your

1:29:39journey. So as you're learning the

1:29:41thing, you want to be documenting the

1:29:43learning of the thing. So I did this

1:29:45exact same thing over a year ago now

1:29:48when I started my channel. I came into

1:29:50the space really curious, really

1:29:51motivated, but I didn't have that I mean

1:29:54the LLM technology that like chat GBT is

1:29:56based on had only really just come out.

1:29:57And so I was starting at the starting

1:29:59blocks of basically everyone else. And I

1:30:01was only able to get to this point

1:30:02because of just rapid iteration and and

1:30:04a lot of output within the space. And

1:30:06you can do the exact same thing, but you

1:30:08need to be sharing the learning of this.

1:30:10So that builds up. So I'm getting a

1:30:12little bit ahead of myself, but if we

1:30:13share the journey in step three, we're

1:30:15then going to

1:30:21offer. Sorry, this will make sense in a

1:30:23second.

1:30:25So sharing your journey can mean

1:30:30YouTube, can mean

1:30:33LinkedIn, can mean any kind of medium.

1:30:36We've talked about a lot of these things

1:30:37on the channel. Uh but sharing the

1:30:39journey in some way is going to be

1:30:41building up a track record of your

1:30:43expertise and growth. And that's going

1:30:45to tie into uh I should probably have

1:30:47the the three

1:30:48things expertise um two lead flow and

1:30:52three. So this is the strategy to solve

1:30:54these three problems. By the way, you

1:30:55probably can't see the green very well,

1:30:57but you know what it says, expertise,

1:30:58lead flow, and authority,

1:31:02credibility. So by learning the thing,

1:31:04you can then share your journey of

1:31:06learning the thing on these different

1:31:07platforms. And then when you offer free

1:31:09consulting calls, the interest that you

1:31:10generate by sharing your journey is

1:31:12going to allow you to convert some of

1:31:14that interest into actual uh buying

1:31:16attention. People are ready to start

1:31:18paying for you, paying for your services

1:31:19potentially. So, um, then you can go,

1:31:23uh, close deals, right? Once you've got

1:31:26people on the phone, you'll find that

1:31:28purely if you do enough of them, there's

1:31:29going to be people who have money and

1:31:30are willing to pay for it. And they'll

1:31:31say, "Hey, look, would you be able to

1:31:33build me this? I'm willing to pay you

1:31:35for it." And that's when you can start

1:31:36to monetize on all this stuff here. So,

1:31:38coming back to the three problems, the

1:31:40expertise comes from learning the thing.

1:31:43The lead flow comes from sharing your

1:31:45journey and also the expertise is

1:31:47something you know you showing that you

1:31:49know what you're talking about is going

1:31:50to create that lead flow as well but

1:31:51it's the documenting it on YouTube or

1:31:53LinkedIn exactly how I've done it

1:31:55exactly how hundreds of other people are

1:31:56doing it now and the authority also

1:31:59comes from sharing your journey. So when

1:32:02they look back and you are 3 months down

1:32:04the line and you've been consistently

1:32:05posting information about uh one of

1:32:07these niche areas which we're going to

1:32:09go into later whether it's it's text

1:32:11based agents whether it's voice based

1:32:13agents these different areas where you

1:32:14can be an expert within a short space of

1:32:16time in the AI space you can be an

1:32:17expert in literally a month if you pick

1:32:19one specific tool so it's very easy to

1:32:21become an an expert you just need to

1:32:23actually put in the effort and and apply

1:32:25yourself for a prolonged period of time

1:32:28um once you've got all of these done

1:32:30you've got the expertise ticked off the

1:32:31default ticked off and the authority

1:32:33then you're able to start to close

1:32:34deals. So this is a way of attacking all

1:32:36three of these problems in one go. So

1:32:40within the space of 3 months you will

1:32:42learn the thing share the journey be be

1:32:44likely if you follow the strategy

1:32:45correctly be getting people booking in

1:32:47free consulting calls with you and that

1:32:49sets you up perfectly to be able to

1:32:50start closing deals solving all three of

1:32:52these problems.

1:32:53Now there is another way of doing it

1:32:56which we've kind of done as a community

1:32:58collectively over the past year and

1:33:00that's to learn the thing not to share

1:33:03the journey at all but get to 6 months

1:33:05down the line. Here we are 6 months

1:33:08after starting and you've learned the

1:33:10thing but now you've done absolutely

1:33:12nothing to share the thing and so you're

1:33:14at square one when it comes to marketing

1:33:15yourself and getting some lead flow

1:33:17which is problem number two. So, I would

1:33:19highly recommend you do these all

1:33:21simultaneously so that you can shortcut

1:33:23this thing to about 3 months and you

1:33:25have the attention you need to start

1:33:26closing some kind of deals. Okay. So,

1:33:27now we're going to get

1:33:29into the actual five different

1:33:32strategies for starting. And so, what

1:33:34these are is a a type of AI agency you

1:33:38can start so that you can have a vehicle

1:33:39to learn and get deeper into the AI

1:33:41space. It's really all this stuff is

1:33:44about is making a bet on the AI space

1:33:46generally and just picking the right

1:33:47vehicle or horse within the space so

1:33:49that you can learn faster than everyone

1:33:51else cuz it's simply a level of

1:33:53expertise question. Who is the smartest

1:33:57and who is the most experienced in a

1:33:59certain space within the AI space might

1:34:01be the real estate AI guy. The only way

1:34:03that you're going to become the number

1:34:05one expert is by actually doing some

1:34:06kind of business and being active at the

1:34:08space and the AI agency as a vehicle is

1:34:12what personally what I've used to get

1:34:14deeper into the space and learn. And for

1:34:16many of you, it's also going to be the

1:34:18best starting point um before you go on

1:34:20to re-education or whatever you want to

1:34:21do later. But whether you go into SAS as

1:34:23well, I've got my own AI SAS too, but

1:34:25the AI agency is what set me up for

1:34:28creating the SAS. So it all kind of

1:34:30stems from the agency at least in my

1:34:32experience. So you have these five

1:34:34different types and you might be a bit

1:34:36confused but give me a second. Uh five

1:34:38types of strategies you get the idea. So

1:34:40number

1:34:41one

1:34:43AI

1:34:45automation specialist. So we have an AI

1:34:48automation specialist. Um let me write

1:34:50all of these out here first for you. So

1:34:52then we have two

1:34:54text based agent. I'm not they were all

1:34:56specialist. I'm not going to write it

1:34:58every time. Um, three, voice

1:35:01agent specialist. Four

1:35:05is Zapia ecosystem specialist. And I've

1:35:08run out of space here. Number five is

1:35:11chatbot specialist. So these are five

1:35:14different niched types of remember that

1:35:17little diagram I did that you got the

1:35:22broad and then you've got the

1:35:27niched. Now, this isn't this is niching

1:35:30your agency down by solution type, and

1:35:33you can always go broader at any point,

1:35:35but the idea is that it's easier to

1:35:36become an expert in a in a narrow area

1:35:38within a short space of time, and

1:35:40therefore be able to charge expert rates

1:35:42um than trying to be broad and taking a

1:35:44lot longer to be kind of a a mid-level

1:35:47intelligence or or understanding of the

1:35:49whole field. So, it's better to go deep

1:35:50initially and then over time you can

1:35:53broaden out to different areas. So these

1:35:55are basically starting blocks that I

1:35:56want to give you and just spoon feed

1:35:58you. I know the hardest thing when

1:36:00you're starting these businesses. I I

1:36:02started my e-commerce stores like four

1:36:04or five years ago and when I was getting

1:36:06started it was purely the analysis

1:36:08paralysis of having so many options and

1:36:11concerns about the sequence in which I

1:36:13should do them. I'm trying to just spoon

1:36:14feed this to you all. Here's five

1:36:16different ways and I'm going to give you

1:36:17stepby-step instructions so that you

1:36:19don't have to use your brain for the

1:36:20next 2 3 months. Learn the stuff. follow

1:36:24the process of sharing your journey as

1:36:25well and 90 95 90 ideally 100% of you

1:36:30are able to actually put some uh put

1:36:32some rubber to the road and progress in

1:36:33the space by using at least one of

1:36:35these. So going through these an AI

1:36:37automation specialist is different from

1:36:40a general AI agency because they're

1:36:42going to be specializing in specifically

1:36:44AI automations on things like make.com

1:36:46and air table. So this is primarily

1:36:47based around um make.com

1:36:53and Air

1:36:55Table. So, these are the only tools you

1:36:57really need to learn to become an AI

1:36:59automation specialist. Um, and I've got

1:37:01some examples of guys who are

1:37:02successfully running these agencies as

1:37:03well. So, example one is uh Shaz, I'll

1:37:07put them up on screen. Shaz Matthews,

1:37:09great guy. He was out in Dubai with me

1:37:11recently for our recent AI agency

1:37:13mastermind. Um, Shaz is running a

1:37:15specifically AI automation focused

1:37:16agency. Um, we also have SJ, member of

1:37:19my accelerator, who's recently I had him

1:37:21recently on the channel, so I'll put

1:37:22that up here somewhere as well if you

1:37:23want to learn more about his story, but

1:37:25he's come in as a complete

1:37:26non-developer, decided to learnmake.com

1:37:28and is now making a supplementary income

1:37:30to his main job, which is equaling in

1:37:32some months is paying more than his

1:37:33actual job. So, SJ and Sha's two

1:37:36examples of AI automation specialists.

1:37:38And at the end of this video, I'm going

1:37:40to let you know how you can actually get

1:37:41the step by step. So, I've got about 6

1:37:43to 10 steps in each of these strategies

1:37:46that is available on a document that I'm

1:37:48going to give you at the end. So, if you

1:37:49want to get that, I'll be letting you

1:37:50know where to get it at the end, but I

1:37:52don't want to give that away too early.

1:37:53Right? So, each of these has attached to

1:37:55it like a 10step plan. So, if you're

1:37:57interested in any of these at any point,

1:37:59then make sure you stick around for for

1:38:00that. textbased agents. We have um these

1:38:05are a little more complicated but the

1:38:08GPTs if you played around with open AI's

1:38:10chat GPT the GPTs uh feature that they

1:38:13released that's a consumerf facing

1:38:14textbased agents uh framework and and

1:38:17platform you also have the assistance

1:38:19API um so this is how you can build GPTs

1:38:21and and use them programmatically across

1:38:23anywhere in the world for to build into

1:38:25applications for your clients. So

1:38:26textbased agents are different from chat

1:38:28bots and that they are basically you're

1:38:30building custom chat GBT like

1:38:32experiences for your clients and that's

1:38:34free form that's open-ended that's

1:38:35conversational um you might be using

1:38:38tools you might be using custom

1:38:39knowledge these are like custom versions

1:38:41of chat GBT is the easiest way to think

1:38:42of these um I've actually built my

1:38:44software

1:38:47agent on top of this which allows you to

1:38:49make GBTs and put them on WhatsApp put

1:38:51them on websites etc. So I'm very big

1:38:54and also my agency morning side is very

1:38:56big in the check space agent space. Um

1:38:59this is something that I'm I'm really

1:39:01big on. I think this is a great place to

1:39:02start. Um but you guys can make your

1:39:04choice at the end when you get the when

1:39:06you get the step by step. So textbased

1:39:08agents you're building custom chatbt

1:39:10applications for your clients and

1:39:11putting them on WhatsApp putting them on

1:39:13websites various places and uh your

1:39:16buddies software also helps you do that.

1:39:19So, voice space agents, I'm sure you've

1:39:21heard, I've talked about a lot on the

1:39:22channel. I think the voice AI space is

1:39:25really just getting started and all of

1:39:27the other guys that are in my

1:39:28accelerator and and my close network,

1:39:30they're all making a a ton of money

1:39:32right now selling these voice AI

1:39:33solutions. Um, so the space is extremely

1:39:36hot. It's moving very quickly. If you

1:39:39wanted to jump in and become an expert,

1:39:40I've seen guys go in and be an expert

1:39:42within space of like 1 to 2 months of

1:39:44really applied effort in this. And if

1:39:46you get in the right circles, I mean,

1:39:47all of my friends that are selling these

1:39:49solutions are just freely sharing like,

1:39:51"Oh, this is what's working. This is

1:39:52what people are selling. Um, this is

1:39:53what people want to buy." So, this is a

1:39:55really good really good space to be in.

1:39:56You've got platforms like um Bland AI.

1:40:00Shout out the guys at Bland. Uh we've

1:40:02got um what is it?

1:40:05Airi. There's a there's a new one of

1:40:07these every week, so don't uh forgive me

1:40:09if I forget one. Um synth flow.

1:40:13Synth flow. There's a whole bunch of

1:40:16different platforms, right? There's a

1:40:19VP, heaps of different platforms you can

1:40:21learn. You can basically just pick one,

1:40:22decide to be good at it, and the

1:40:24step-by-step strategy that I I'll give

1:40:25to you has a ton of excellent resources

1:40:27that are all on YouTube. All the

1:40:29resources that I'm providing, and the

1:40:30step-by-step guides are going to be

1:40:31free. Um, voice based agent space going

1:40:35to be huge, really popping off right

1:40:37now. Um, great place to be in in my

1:40:39opinion. And you have the the Zapia

1:40:41ecosystem. We have some examples

1:40:44actually of these guys. So we have SHs

1:40:46and SJ we're doing AI automation um

1:40:48agency specifically focused on the AI

1:40:50automation space. Then we have myself

1:40:54Morningside. My agency is primarily

1:40:57focused on this through our own

1:40:58software. Um so we focus on textbased

1:41:01agents primarily. Also have

1:41:05Isaiah member of my accelerator original

1:41:08member of my community. Um, and he's

1:41:10selling textbased agents, AI appointment

1:41:12setters for Instagram DMs. I've recently

1:41:13done an interview with him on the

1:41:14channel if you want to learn more about

1:41:15how he I think he's making $25,000 a

1:41:18month now on that. And that's soon to be

1:41:20more. If you want to watch that,

1:41:21there'll be tag somewhere up there.

1:41:23Isaia's doing very well. Myself and the

1:41:25team selling agents to Agent doing very

1:41:27very well as well. Voicebased agents, we

1:41:30have guys like uh

1:41:32Mark and

1:41:34Taha. I've had Mark on the channel um a

1:41:37long time ago, but I'll actually link

1:41:39their channels down below if you want to

1:41:40check them out and they're going to be

1:41:41linked all through these documents as

1:41:42well. So, scrap the description. They're

1:41:43going to be all through these documents,

1:41:44but examples of people who are

1:41:46successfully running these types of

1:41:47agencies are going to be in the document

1:41:49as well. So, Mark and Taha, Giannis,

1:41:51I'll pop him up screen. You guys might

1:41:52know Jiannis by now, good friend of

1:41:54mine, and he's really crushing it in the

1:41:56space using voice agents. Then the Zapia

1:41:59ecosystem is an interesting play because

1:42:02the Zapia ecosystem has got so much to

1:42:04it now. There's tables, there's uh

1:42:05there's zaps in general, there's

1:42:07canvases, there's chat bots, there's so

1:42:09much crammed into the Zappy ecosystem

1:42:11and it's all no code as well. So, if

1:42:12you're looking to just get started in

1:42:13the space and really get eased into AI

1:42:17and automation and and building these

1:42:18agencies, the Zappy ecosystem is a good

1:42:20way to just block out all the

1:42:22and all the noise and just say this

1:42:24place which is very well doumented, huge

1:42:26community, great support, I'm going to

1:42:28just focus on this area. So if you're

1:42:29com if you're really concerned about the

1:42:31technical nature of building some of

1:42:32these solutions, voice agents can get a

1:42:34little bit gnarly on the code if you're

1:42:35doing things like Vappy textbased agents

1:42:38uh when you're doing custom integrations

1:42:40to different platforms can get a little

1:42:42bit gnarly. Um and doing custom

1:42:43front-end interfaces AI automation not

1:42:47usually too bad. Um this is probably a

1:42:49good place to start as well if you're

1:42:50bit concerned about that. But the Zappy

1:42:53ecosystem generally being a like

1:42:55fundamentally no code platform is a

1:42:57great place to get started. So you can

1:42:59build um on

1:43:01here

1:43:05automations, chat

1:43:08bots, you can have like data

1:43:13management. So you can integrate AI into

1:43:17all of these and be creating value with

1:43:20AI through the through the Zapia

1:43:22platform. So, good place to look into if

1:43:24you're concerned about the the the

1:43:26development or the coding nature of a

1:43:28lot of these solutions. I I personally,

1:43:30if I was starting off brand new, I would

1:43:32be seriously looking at the Zappy

1:43:33ecosystem cuz they're building a lot of

1:43:34cool stuff as well. So, it's good. It's

1:43:35a good long-term bet. And Zappy has also

1:43:37got Zapia Central, which I talked about

1:43:39on the channel uh

1:43:41Central talked about on the channel

1:43:43recently, and it's their AI hub for

1:43:45creating AI agents through Zappia. And

1:43:48again, all no code. So, it's like this

1:43:49but easier. So, Zappy is a very good

1:43:51thing to to be looking into if you are

1:43:52concerned about the the uh development

1:43:55side of things. Should probably jump

1:43:56over this way. Finally, chatbot

1:43:58specialist. So, this is different to

1:44:01textbased agents. Um, I'm going to make

1:44:03a video on the difference between chat

1:44:04bots and agents um soon because I

1:44:06probably should just make that clear.

1:44:08Um, but cliff notes, textbased agents

1:44:11are these chat chatbt style experiences

1:44:13that are open-ended. You can ask them

1:44:16endless questions. They might have

1:44:17knowledge pulled in. They might have

1:44:18tools pulled in, but it's it's

1:44:20fundamentally an open-ended and

1:44:22conversational interaction. Chatbot

1:44:25building is more so focused on uh things

1:44:27like voice flow. And I've talked about

1:44:29voice flow for over a year now. And

1:44:31that's my go-to chatbot building

1:44:33platform. And I differentiate these from

1:44:34textbased agents. And that chat bots I

1:44:36need to program and design uh piece by

1:44:39piece. And I have to build all the

1:44:40logic. If I don't build the logic, it's

1:44:42not going to be there. So it needs to be

1:44:43like, okay, well, if this comes in and

1:44:46we do something here, Da da da. Okay.

1:44:48Well, it's either going to go up here or

1:44:50it's going to go down here where you've

1:44:51got much more of a structured layout and

1:44:53control over the flow and functionality.

1:44:55So, if you don't build it, it's not

1:44:56going to be in there. But with textbased

1:44:58agents, you don't need to program.

1:45:01There's no programming like this. You

1:45:02program it at the prompt level. So, when

1:45:04you write your little prompt for the

1:45:05agent, that's the programming of the

1:45:08textbased agent. Here, you actually need

1:45:09to program it by telling them what to do

1:45:12when XYZ happens. Right? So, these are a

1:45:14little bit different. They're not worse.

1:45:16they are in some cases you want more

1:45:18control over the solution that you're

1:45:20building and and the functionality

1:45:21within it. Sometimes these are a little

1:45:23bit too wild and and unhinged to to get

1:45:25the functionality that your client

1:45:26wants. Um and also these can include

1:45:28buttons and things like this and buttons

1:45:30make it easier and better to use for

1:45:32your customers in various circumstances.

1:45:34So chatbot specialist still a very valid

1:45:36one to to be looking into. Um, I think

1:45:38the the voice flow to

1:45:42WhatsApp because you can put a WhatsApp

1:45:44app with all these buttons and it can do

1:45:46things. The the automation of all the

1:45:48all a key business's processes with

1:45:50WhatsApp via voice flow I think is is a

1:45:52great stack to get started. You can look

1:45:54at any any business you can basically

1:45:57walk into and go say hi to. You can try

1:45:58to take the core functions of that

1:46:00whether it's booking a table, reserving,

1:46:02meeting the meeting a designer or or

1:46:04meeting the team etc. can all be put

1:46:06into some kind of voice flow chatbot

1:46:08that you can be then be put on WhatsApp.

1:46:09I mean Americans, you're a bit behind on

1:46:11the WhatsApp buzz, but the rest of the

1:46:12world is is very very uh eager to to be

1:46:15adopting things like this. So for

1:46:16chatbot specialists, a great example of

1:46:18this is big man Brendan. I'll put his

1:46:22channel. You may have seen him. Brendan

1:46:25Jawat, Australian guy, smashing in the

1:46:27space doing some really great tutorials.

1:46:28So if you want to check out his channel,

1:46:29that'll be linked on the uh on the

1:46:31document for this particularly. Um, but

1:46:33those are the five different

1:46:35types. And again, these are narrow in

1:46:39entry points to the space as a whole.

1:46:41So, you might decide, I'm going to

1:46:43master this and this and get really good

1:46:45at it and that's going to be my entry

1:46:47point and I'm going to make those the

1:46:48first solutions that I sell. And over

1:46:50time, you can broaden and take on

1:46:51different challenges. But you need to

1:46:53start somewhere. And the reason a lot of

1:46:54you aren't starting is because you don't

1:46:57have a clear, you aren't able to to

1:46:59cross off the alternatives. You're

1:47:00looking at, oh, voice stuff. Oh, text

1:47:02stuff. Oh, I need to also do make an

1:47:04make an air table. I'm trying to give

1:47:05you

1:47:06a focused road map for 2 to 3 months so

1:47:10that you can actually get a start in the

1:47:11space and be able to cross some of these

1:47:12alternatives off. So, in order to get

1:47:15the step-by-step guides for each of

1:47:16these, it's between six to 10 steps and

1:47:19resources. So, it might be free online

1:47:21courses. It might be v videos that I've

1:47:23made or my my friends have made. some of

1:47:25these guys here. It's going to walk you

1:47:27through even free resources from places

1:47:29like make that has the uh that have

1:47:32their ownmies and things like this. So,

1:47:34I've curated over the space of uh like a

1:47:37couple of days the best resources for

1:47:38learning each of these and put them into

1:47:40a sequence for you. So, all of this is

1:47:42going to be available because I I can't

1:47:44really like throw it all at you in the

1:47:46description. I'm going to make a post on

1:47:48my school. So, I've got a free school

1:47:50community. If you're interested in

1:47:51building AI businesses, then my my

1:47:53school community is kind of the place to

1:47:55be. Um, I'm in there doing free Q&As's

1:47:58uh once a week and the rest of the

1:48:00community are all actively building

1:48:01their own AI agencies, consultancies,

1:48:04uh, SAS's, all of the the good stuff

1:48:06that you want to be around if you're

1:48:07serious about using this this

1:48:09opportunity. So, that's really all it

1:48:11is. And I'm going to be talking about

1:48:12this a lot more uh on my channel, but

1:48:16how I've been able to do some pretty

1:48:18cool stuff with my life since I I got

1:48:20into the space. It's been 18 months and

1:48:22I've I've built quite possibly the the

1:48:25dream life that I' I've always wanted. I

1:48:26have all of my friends here in Cape Town

1:48:29at the moment. We're all working

1:48:30together. My whole thing was always just

1:48:32cool with cool people and I've been

1:48:33able to achieve that. And the more

1:48:35people that I can get to use this

1:48:37opportunity to achieve that for

1:48:38themselves is uh is the ideal outcome

1:48:41for for me. And if I can make videos at

1:48:43this and wave my hands around and make

1:48:44that happen in other people's lives,

1:48:46then that's something I'm pretty proud

1:48:47of and more than happy to spend an hour

1:48:49waving my hands around in front of a

1:48:50whiteboard for. And of course, there's

1:48:53massive incentives for myself as well.

1:48:55If I'm able to educate you guys

1:48:58appropriately and get you successful, I

1:49:00also have software. And if you use my

1:49:02software to build your

1:49:05agencies, then I can make a lot of money

1:49:07as well. So the whole point is that I

1:49:09introduce you to this stuff. At some

1:49:11point, you might end up using my

1:49:12software and that'll help you to make

1:49:14more money and then we all win, right?

1:49:16So that's the that's the agreement we

1:49:18have on this channel. But if you want to

1:49:19get access to all of this, it is on the

1:49:22school free to join. It'll be in the

1:49:24description. And if you go to the

1:49:26YouTube resources, um it's a little tab

1:49:28on school. Once you get in, it should

1:49:30you should get let in within 10 15

1:49:31minutes or so. There'll be a little tab

1:49:33called YouTube resources and you click

1:49:34on that and you find the title of this

1:49:36video. There'll be a whole post and in

1:49:38there I will have linked to all of the

1:49:39resources for all these different

1:49:40strategies.

1:49:42So, no excuse now. You got to get

1:49:45started. Um, that's it's it's real. It's

1:49:48it's real. I'm living proof of it. And

1:49:50there are so many other people in the

1:49:51community. I've interviewed ton of them

1:49:52on my channel now. if you want to use

1:49:55this AI thing for your benefit and to

1:49:57actually not miss like it sounds so

1:50:00cringe and cliche but not to miss this

1:50:01one again like we get these once every 5

1:50:0310 years right usually 10 and this is

1:50:06the one so use it that's

1:50:12all today I wanted to make a quick video

5 Stages of Scaling an AI Business

1:50:15breaking down the different phases of

1:50:16scaling your AI automation agency from 0

1:50:19to $100,000 per month can be broken down

1:50:21into five different stages I've made a

1:50:24nice little presentation here for you to

1:50:25walk through through and it's more so

1:50:26for talking about okay what are the

1:50:28problems you're facing and where should

1:50:29your focus be on at each of these

1:50:30different phases and what kind of team

1:50:32and hiring requirements are needed at

1:50:33each phase. So I'm basically going to

1:50:35break down what your team should look

1:50:36like at each stage say 0 to 5k or 10 to

1:50:3920k and also the tech stack you're going

1:50:41to be using. I'm going to be covering

1:50:42everything at each of these different

1:50:44phases because I know I get a lot of

1:50:45questions about, okay, I'm how do I get

1:50:48to the next phase? What am I missing?

1:50:49Like, what's the main blocker in my

1:50:50business? And I've been through this

1:50:52process of of scaling from 0 to 100,000

1:50:54and more a month. And I'm going to break

1:50:55down what's been super helpful for me.

1:50:57This is going to be more so focused on a

1:50:59general agency. Um, so this is assuming

1:51:01that you're just doing purely custom AI

1:51:03development as an AI automation agency

1:51:05for your clients. Um, there are changes

1:51:07that occur if you move to a more niched

1:51:08model, but I'm just going to keep it

1:51:10pretty clearcut with this and just say

1:51:11if you're doing all general development,

1:51:13this is what it's going to look like.

1:51:14So, there's five different stages. We

1:51:16can jump into it here. The first phase

1:51:18is called startup. Um, and that's from 0

1:51:20to $5,000 per month. Um, so your team in

1:51:23this case is going to be, if you're a

1:51:24non-technical founder, we're going to

1:51:26split this into two, especially in these

1:51:27early phases. Um, a nontechnical founder

1:51:30starting an AI automation agency is a

1:51:32bit of a different route to a technical

1:51:34founder. So you can see here if you are

1:51:35a non-technical founder as in you're

1:51:37someone who's coming into the AI field

1:51:39wanting to build a business but you

1:51:40don't have the technical background

1:51:42you're not a developer and we get a lot

1:51:44of developers coming into the field

1:51:45trying to start these as well. So I want

1:51:46to make sure I'm addressing both sides

1:51:47of this. If you're non-technical then

1:51:50your first team or the first person that

1:51:52you're going to hire in this case you're

1:51:54going to be using a a contractor will be

1:51:56a freelance AI developer and this will

1:51:58be at a revenue share basis or you can

1:52:00either do it at cost depending on what

1:52:01setup it is. basically because you don't

1:52:03have the technical expertise yourself.

1:52:05You can't go out there and deliver these

1:52:06first few projects to get yourself off

1:52:08the ground. In the case of the technical

1:52:09founder, it's basically just going to be

1:52:11you and you are the lead developer of

1:52:13your agency. You're basically just a

1:52:14freelancer at this point. But that

1:52:16should be pretty straightforward for you

1:52:17technical guys. But for those of you who

1:52:19are non-technical going into a place

1:52:21like my free school community, which

1:52:22we've just hit 100,000 members on, which

1:52:24is incredible. So, thank you guys for

1:52:25the support on that. Um, but there's

1:52:27100,000 people in there. A significant

1:52:29portion of those guys are AI developers

1:52:31who are looking for work. So go in there

1:52:33to the hiring tab. You can look for,

1:52:34hey, I'm starting an agency. I have XYZ

1:52:36leads through my warm connections, which

1:52:38we're going to touch on in a second. And

1:52:40I'm looking for someone to uh pass off

1:52:42some of these projects to, and we're

1:52:43going to do a revenue share basis. Now,

1:52:44for all the costs of these different uh

1:52:47hires, and in this case, the split, I'm

1:52:48going to be breaking it down at the end

1:52:50of the video, a full table of all of the

1:52:52costs, at least starting cost for each

1:52:53of the roles I'm going to mention. So I

1:52:55I didn't want to clog up this slide. So

1:52:56I'm going to break that down at the end

1:52:58and you guys can sort of screenshot it

1:52:59and use it for your hiring moving

1:53:01forward. So starting off as a

1:53:02nontechnical founder, you've got that

1:53:03freelance AI developer where you're

1:53:05going to work with. Now when it comes to

1:53:06the focus at this phase of your journey,

1:53:08it's going to be on warm outreach and

1:53:09finding your first free clients through

1:53:11your existing network and then

1:53:12eventually graduating towards paid

1:53:14clients through your existing network.

1:53:15So that's using the warm outreach method

1:53:17that I've talked about time and time

1:53:18again. I'll put it in the description.

1:53:20It's one. It's really, really good. Um,

1:53:22but that warm outreach strategy is going

1:53:23to allow you to find your first few

1:53:25clients and really just get some

1:53:27experience and get off the ground. And

1:53:28the big focus of this startup phase is

1:53:30really just building your confidence and

1:53:31experience gradually. Just slowly like

1:53:33baby baby steps to build your confidence

1:53:35and experience because like you like

1:53:37this quote here says at this stage

1:53:39you're likely feeling like I'm

1:53:40inexperienced. I'm unskilled and I'm

1:53:42struggling to really just wrap my head

1:53:44around this business and how it works.

1:53:46I'm taking things one step at a time in

1:53:48order to ease me into things. And this

1:53:49is the most important thing in this

1:53:50phase is just gradually and slowly

1:53:52easing into things and not trying to

1:53:54take this 10 $15,000 project or thinking

1:53:56you're going to have this fully

1:53:58productized offering or I'm going to

1:53:59build a SAS or something. It's just just

1:54:02start small and gradually gradually

1:54:04build up your confidence and experience.

1:54:06Um, now when it comes to your tech stack

1:54:07to get started, you can use Slack. You

1:54:09could even use WhatsApp just to work

1:54:10with your warm connections for these

1:54:12first few clients. I put down Slack cuz

1:54:13it's good practice to get familiar with

1:54:15it, but Slack is of course going to cost

1:54:16you a bit of money. But Slack, Google

1:54:18Meet, Google Calendar, Calendarly, which

1:54:20will cost you 20 $30 a month initially,

1:54:22I think. And then Stripe. So that's your

1:54:23tech stack starting off at this point.

1:54:25And then we have the estimated cost and

1:54:26profit margins at this phase. And this

1:54:28is going to be based off the revenue

1:54:29share model if you're doing a 20%

1:54:31revenue share and you're making 5K per

1:54:33month. Then your cost will be around

1:54:34$1,000 per month, which is going to your

1:54:36freelance AI developer in exchange for

1:54:38uh their services and helping you

1:54:40fulfill those projects. So that startup

1:54:41phase just purely focusing on getting

1:54:43things off the ground and building a

1:54:44little bit of momentum and experience.

1:54:46The next phase is phase two called early

1:54:48growth. And this is from $5 to $10,000

1:54:49per month. The team that you have in

1:54:51this early growth phase of your journey.

1:54:52It's going to be one, two, or even three

1:54:54freelance AI developers like you had in

1:54:57the startup phase, but this time you're

1:54:58going to have more of them to choose

1:55:00from. As you start to get more leads

1:55:01coming through your warm connections, as

1:55:02you share some of the things that you're

1:55:04doing from that startup phase with them

1:55:05and say, "Hey, this is what we've

1:55:06built." You're going to see a lot more

1:55:08things sort of shaken out of the trees.

1:55:09And as you get more of these leads in

1:55:11coming, you need to expand your ability

1:55:13to deliver on those. and that's going to

1:55:15be with more than one developer. And so

1:55:16by going into the free community and

1:55:18getting one or two more freelance AR

1:55:20developers that you have a relationship

1:55:21with will allow you to take these these

1:55:23incoming warm leads and and sort of get

1:55:25a statement of work together and say hey

1:55:26look this is what we're going to build.

1:55:27Are you interested like can you make me

1:55:29a bit of a proposal or say like why you

1:55:31should get this project and then you can

1:55:32say okay great let's move forward we'll

1:55:34do a revenue share on this 20 to 30%

1:55:36depending on how good they are and the

1:55:37size of the project and things like

1:55:38that. And at the same time you should

1:55:40also be hiring a virtual assistant or a

1:55:41VA. Um, this is going to be really your

1:55:44admin support to help you to start to

1:55:46build your first set of systems and

1:55:48scale your warm outreach in this case.

1:55:49So, you can see the focus is here

1:55:51scaling your warm outreach. So, this

1:55:52means instead of you doing all of the

1:55:54messaging and follow-ups manually, you

1:55:55have to do quite a lot of tracking to

1:55:57make sure you're doing this

1:55:58systematically and not just doing kind

1:55:59of willy-nilly. the virtual assistant.

1:56:01The first role of that is going to be

1:56:02coming in is to help you manage that

1:56:04warm outreach process, making sure that

1:56:05you are reaching out to enough people

1:56:06per day and making sure that you are

1:56:08also sending follow-ups and and tracking

1:56:10the conversations and saying, "Hey,

1:56:11look, this person's ready for a call,

1:56:12etc." Having a bit of help so that

1:56:14you're not constantly in the DMs all day

1:56:16or or emailing people constantly. Having

1:56:18a virtual assistant who can help you

1:56:19with that is a big step and first step

1:56:21towards you really building some

1:56:22acquisition systems. As you see here, uh

1:56:24the quote for this phase is, "I'm

1:56:26getting the hang of things, but it still

1:56:27feels like chaos. I'm setting up my

1:56:29first acquisition system that runs while

1:56:30I sleep and learning how to manage

1:56:32projects. So, the virtual assistant

1:56:33coming in to help you with that warm

1:56:35outreach and scaling of the warm

1:56:37outreach is key so that you can keep the

1:56:38the lead flow coming in. And the other

1:56:40focus for you in this period is to start

1:56:42creating content and sharing the client

1:56:44wins from phase one and phase two um to

1:56:46build your authority and credibility in

1:56:48the in the public eye basically. So,

1:56:49starting the long journey of content

1:56:50creation here is key because it's going

1:56:52to take a decent amount of time before

1:56:54you actually start seeing some results

1:56:55from it. So, kicking it off here is key.

1:56:57The text stack remains basically the

1:56:58same, just adding on make or zap here

1:57:00for any internal automations that you

1:57:01need to set up and also for notion for

1:57:03internal documentation. So that's the

1:57:05early growth phase. And as for cost and

1:57:07profit margins, you're looking at around

1:57:08$3,000 per month at that 10k mark

1:57:11because you're going to be paying

1:57:12roughly 30% of your uh revenue to these

1:57:14developers as part of their rev share.

1:57:16So the next phase is establishment and

1:57:18this is going from 10 to 20k per month.

1:57:20This phase is really one of the most

1:57:21difficult ones to get right, but also

1:57:22the the thing that really unlocks you to

1:57:24scale much further because as you can

1:57:26see by the team here, we are moving from

1:57:27a set of freelancers to having your own

1:57:30team of developers. And from my

1:57:31experience, you're going to be needing a

1:57:32senior AI developer who is full-time.

1:57:34You're going to be needing a junior AI

1:57:36developer who's also full-time and then

1:57:37your virtual assistant. and you'll be

1:57:39throwing in a bookkeeper here um who can

1:57:41do sort of part-time or contract work

1:57:42for you just to start to to manage the

1:57:44the finances of the business so that you

1:57:46aren't so stuck in and payroll and

1:57:48managing all of the the day-to-day

1:57:49finances which can start to get pretty

1:57:50burdensome around this phase. The shift

1:57:52from using a a gaggle of freelancers to

1:57:54help deliver your projects to having

1:57:56full-time AI developers in your company

1:57:58is such a massive leap forward because

1:58:01if anyone's worked with freelancers

1:58:03before of any sort, you know that

1:58:04particularly if you're finding good ones

1:58:06off Upwork, we found this very early on

1:58:07at Morningside by using Upwork devs or

1:58:10just getting started cuz we didn't have

1:58:11any clue how else to get them. But you

1:58:12you become basically client number nine

1:58:14in the list particularly with guys who

1:58:16are well ranked or guys and girls who

1:58:17are wellranked and they're getting a lot

1:58:18of interest on platforms like Upwork.

1:58:20And so unless you're finding really

1:58:21low-key freelancers through my free free

1:58:23community, which I'd say there's a good

1:58:24chance of getting them, in most cases,

1:58:25really good freelancers are going to

1:58:27have multiple projects going at once,

1:58:28which means that in some cases, you're

1:58:29going to be bottom of their priority

1:58:31list. Um, which results in all sorts of

1:58:33issues with client communications, um,

1:58:35or them really just phoning it in, doing

1:58:36the bare minimum, and then that all of

1:58:38that heat from the client comes on to

1:58:40you and like, hey, why is this person

1:58:41not responding? Like, why is this not up

1:58:43to scratch? So, this becomes the issue

1:58:45with scaling with freelancers. And I

1:58:46cannot stress enough how important it is

1:58:48to get some AI developers who are

1:58:50working for you full-time. It's like the

1:58:51only thing you're working on is our

1:58:53client projects and the quality work

1:58:55just goes through the roof once you make

1:58:56the shift as a non-technical AI

1:58:58automation agency founder. These senior

1:59:00AI devs are basically the ones who are

1:59:02architecting the builds for you. It's

1:59:03really a case of there being two sides

1:59:04to a lot of the AI development you guys

1:59:06will do through your agencies. And the

1:59:08first is sort of understanding the needs

1:59:10of the client and okay translating that

1:59:11to how we're going to approach it.

1:59:12research the architecture. This planning

1:59:15how you're going to approach the builds

1:59:16is a significant part of the work. And

1:59:18then after that, the rest is just the

1:59:20doing and sort of executing on what you

1:59:21said. You throw in a little bit there of

1:59:23also troubleshooting. Okay, when

1:59:24something doesn't happen, who's the

1:59:25brain power that's going to try to solve

1:59:27it? And that's why you need a senior AI

1:59:29developer. Someone who does have that

1:59:31capability to architect the the system

1:59:33to work work with the client and

1:59:35understand what they're trying to get

1:59:36out of it and to then communicate that

1:59:38to in this case your junior AI developer

1:59:40for them to do a lot of the grunt work

1:59:41so that your senior AI developer can

1:59:43handle a lot of other work themselves

1:59:44and pass off the grunt work to the

1:59:46junior AI developer. So that's that

1:59:47junior and senior dynamic and the split.

1:59:49Again, I go into way more detail on

1:59:51these kinds of developers in my hiring

1:59:52guide for developers. I'll put that in

1:59:54the description. But your senior AI

1:59:55developer is really key hire. your

1:59:57junior AI developer to do all the leg

1:59:58work as a key hire, both full-time

2:00:00virtual assistant to keep helping you

2:00:02with admin tasks and of course your

2:00:03bookkeeper to handle those finances.

2:00:05Your focus as the founder in this phase

2:00:06is going to be scaling that content

2:00:07production up and really trying to get

2:00:09some results out of it now because at

2:00:10this 10 to 20k per month level and now

2:00:12that you've got your senior AI developer

2:00:13and your junior developer and all of

2:00:15these things at a fixed cost on your

2:00:16payroll each month, you need to be able

2:00:18to consistently generate leads and you

2:00:20can't just rely on your warm warm

2:00:21connections anymore. You need to have a

2:00:23system for consistently bringing in new

2:00:25new business and the content is the best

2:00:27way to not only attract those but also

2:00:28to nurture them and make sure that

2:00:30they're actually likely to sign with you

2:00:31and see you as the kind of person that

2:00:33they want to work with. So scaling that

2:00:34content output whether it's YouTube,

2:00:36whether it's LinkedIn, whether it's

2:00:37Twitter, whether you want to write on

2:00:38Medium, just picking something and doing

2:00:40it really well so that you can start to

2:00:41generate leads consistently. And the

2:00:43other half of that content side is

2:00:44building an email list for consistent

2:00:46lead generation moving forward. So, I've

2:00:48talked about this before, but part of

2:00:49the reason that we've never really had

2:00:51to worry about doing at running ads or

2:00:53or doing having to shake some extra

2:00:55trees for leads at Morningside, we've

2:00:56been booked out basically for two months

2:00:57ahead for the past year or more. That

2:01:00comes down to us capturing thousands and

2:01:01thousands of emails of businesses who

2:01:03want to work with us through our contact

2:01:04form. Pretty basic way, but we haven't

2:01:06really had to stress this too much

2:01:08because we've had so much interest. But

2:01:09through all of those emails we've

2:01:11collected, when there's ever a need for

2:01:12us to bring on more clients, we've got

2:01:14vacancies available. we'll just send out

2:01:15an email and say, "Hey, look, we have

2:01:16one or two slots available. If you're

2:01:18interested, please book a call here."

2:01:19And that's how we've consistently signed

2:01:21clients and allowed us to support a a

2:01:23significant payroll of developers and

2:01:24and other team members to help us run

2:01:26the business. So, as you can see here,

2:01:28the estimated costs have shone up

2:01:30because you take on the senior aid and

2:01:31the junior AI developer, which I'm going

2:01:33to be breaking down their recommended

2:01:34monthly salaries at the end, like I

2:01:35mentioned. But this is the phase where

2:01:37you do have to eat a lot of cost and the

2:01:39profit margin is going to drop down

2:01:40massively. Like you see here 27.5% but

2:01:43once you throw on softwares and some

2:01:44other things it could be even lower than

2:01:45that. Um so this is really the phase

2:01:47where you're not taking any money home.

2:01:49It's going all back in and you were just

2:01:50trying to grind through this phase and

2:01:52get that lead generation built up so

2:01:53that you're not only making enough money

2:01:54to support and pay for these new devs

2:01:57that you brought on but to actually get

2:01:58some kind of ROI and allow you to scale

2:02:00beyond this with that existing team. So

2:02:02this is really the first foothold in

2:02:03starting an agency because it's like

2:02:05okay I actually have my own team now.

2:02:07Now I need to crank the lead generation

2:02:08so that I can actually support them and

2:02:10continue to make money moving forward at

2:02:12greater profit margins than this in the

2:02:13later stages. The tech stack for this is

2:02:15all the same apart from throwing on kit

2:02:16which is a email marketing platform um

2:02:19which you're going to be using to build

2:02:20your list. You can make lead magnets and

2:02:22sort of send traffic to it from your

2:02:23content. They can sign up to it, put

2:02:24them into your email list and then also

2:02:26send newsletters and broadcast to them.

2:02:27So that's your whole email capture and

2:02:29email marketing platform which I'd

2:02:30highly recommend to use. And the quote

2:02:32for this phase is, "My lead flow is

2:02:33consistent enough to hire full-time

2:02:35developers, but I need to keep pushing

2:02:36on content and email capture in order to

2:02:38scale further." Then we're getting into

2:02:40stage four, which is scaling from 20 to

2:02:4250K per month. So, the main hire for

2:02:43this phase is going to be a CTO, which

2:02:45is like your senior AI developer on

2:02:47steroids. This is someone who can not

2:02:49only plan and architect these builds,

2:02:50but also manage a a larger team

2:02:52underneath them, not just a senior and

2:02:54junior dev in this phase, but also

2:02:55moving forward. So, it's a very

2:02:57forwardthinking uh hire and you need to

2:02:59make sure that they're a great fit for

2:03:00you and and they have the capabilities

2:03:02to manage a team but also know how to

2:03:04architect builds as well. So, the CTO um

2:03:06also kind of helps you out on the sales

2:03:08side. If you are have been taking all of

2:03:09the sales calls yourself, then the CTO

2:03:12can start to hop on these calls for you

2:03:13either with you on the call as well once

2:03:15you I probably recommend you do that for

2:03:17a month or two and bring them up to

2:03:18speed on how to run the sales calls and

2:03:20then you can start letting the CTO to

2:03:21take the calls themselves which is going

2:03:22to be a huge time unlock for you. So

2:03:24when you were hiring for that CTO role,

2:03:26it becomes even more difficult because

2:03:27not only do they need to know the

2:03:29technical side, but also need to be able

2:03:31to talk to clients and be and be client

2:03:32facing as well and be able to take them

2:03:34through that sales process. So very

2:03:35difficult to find a good one u but well

2:03:37worth your while and you're going to see

2:03:39the compensation estimates in a bit. Um

2:03:40but it can be pretty eye watering at

2:03:42times. So you've got the CTO and then

2:03:44under them is the senior AI dev, the

2:03:46junior AI dev, your virtual assistant

2:03:47and then your finance as as we had

2:03:49before and the CTO is going to be

2:03:50managing all of those devs. The focus

2:03:52for this phase is going to be optimizing

2:03:53the onboarding and service delivery

2:03:55processes as you're going to be really

2:03:56taking on a significant volume of

2:03:57projects per month. So you need to make

2:03:59sure that that onboarding process and so

2:04:01your prompt engineering process and your

2:04:03review process for your build all of

2:04:05these things are actually documented

2:04:06rather than just doing things by the

2:04:07seat of your pants. Um in this phase

2:04:09that's so critical or things are going

2:04:10to get really messy very quick. And then

2:04:12of course in order to get to $50,000 per

2:04:14month your content creation and email

2:04:16marketing needs to be consistent as

2:04:17well. The quote for this phase is things

2:04:19are getting chaotic again. I'm out of my

2:04:20depth. They need help to bring order and

2:04:22set up delivery systems so that we can

2:04:24continue to scale. So this is really a

2:04:26moment of understanding, hey, I need

2:04:28help here. I'm like many of you may not

2:04:30be coming from technical backgrounds. If

2:04:32you are a nontechnical founder coming in

2:04:33and running a a basically a form of

2:04:35development company at 30 to $40,000 per

2:04:38month, you're going to start to see,

2:04:39hey, look, I don't really I'm a bit out

2:04:41of my depth here. I don't know how to

2:04:42manage so many projects at once. I don't

2:04:44know how to work with developers and

2:04:45manage tickets and stuff like this. And

2:04:47that's why you bring in a CTO who can do

2:04:49that managerial side and really bring a

2:04:51bit of development expertise into the

2:04:54organization and can set up things like

2:04:56you can see on the tech stack here.

2:04:57There's a whole bunch of different ones

2:04:58you can choose from. Jira is the one

2:04:59that we use at Morningside AI and it's

2:05:01worked really really well for us. And

2:05:02when you have a CTO who comes in and

2:05:04knows how to use Jira for your project

2:05:06management and this phase you can see

2:05:07that the profit margins are increasing a

2:05:09bit again thankfully. Um but you're

2:05:10taking on a big cost of that CTO. So

2:05:12that's eating up a lot of that growth

2:05:13that you take, but it's much better than

2:05:14that establishing phase where you've

2:05:16taken on so many new people, but your

2:05:17revenue levels are still pretty low.

2:05:19Finally, the last phase is expansion,

2:05:20and this is from 50 to $100,000 per

2:05:22month. So the team here is going to be

2:05:24your CTO. You're going to have a senior

2:05:26AI developer as before, but you're going

2:05:28to have three junior AI developers

2:05:30underneath them. So in this case, you

2:05:32could maybe throw in another senior AI

2:05:34developer depending on the kinds of

2:05:35projects you're doing or depending on

2:05:36how good your team is and how well your

2:05:38CTO is managing things. But basically

2:05:40expanding that set of junior developers.

2:05:41so that your senior and your CTO can be

2:05:43taking care of a lot of the planning and

2:05:45and and directing them on what they need

2:05:46to do and the grunt work is being done

2:05:48by the junior AI developer so that you

2:05:50don't take on too much cost. I've also

2:05:51thrown in here a consultant which I'll

2:05:53touch on in a second. Then you've got

2:05:54your virtual assistant, a fractional CFO

2:05:56instead of just a bookkeeper. So, he's

2:05:58sort of upgrading your finance

2:05:59capabilities at this phase cuz he's

2:06:01handling quite a lot of money now. And

2:06:03then throwing in to help you on the

2:06:04marketing side, a CMO, a chief marketing

2:06:06officer, and then a copywriter as well

2:06:08to help with things like email copy and

2:06:10also content creation. And we also have

2:06:11a product/client relations manager in

2:06:13here as well. And this is what we found

2:06:14at Morningside to be really necessary

2:06:16for the bigger projects that you take

2:06:17on. Having someone who's in charge of

2:06:19managing the client and being sort of

2:06:20the in between the client and the devs

2:06:22and making sure that everyone's on the

2:06:24same page and putting someone

2:06:25responsible of you are responsible for

2:06:27this particular project going ahead has

2:06:29been super helpful for us. So having a

2:06:30product owner/client relations manager

2:06:32has been a really key role for us in

2:06:34allowing us to scale further. The

2:06:35focuses for this phase are going to be

2:06:37hiring and training processes. as you're

2:06:38bringing in so many of these junior AI

2:06:40developers, um you need to make sure

2:06:41that they are being onboarded and

2:06:43trained right for working in your

2:06:44organization. This is how you're

2:06:46supposed to do prompt engineering within

2:06:47our organization. This is how we do

2:06:49reviews and all of these things need to

2:06:50be streamlined and and clearly

2:06:52documented so that you can onboard new

2:06:54devs without this really clunky like 2

2:06:56month period of just them bashing into

2:06:58stuff until they finally learn how it

2:06:59actually works. So documenting it and

2:07:01working on those training processes as

2:07:03soon as those new hires come in and then

2:07:05also diversifying your offering away

2:07:06from strictly implementation to things

2:07:08like AI consulting or AI education. And

2:07:10when it comes to this diversifying of

2:07:12your offering away from strictly

2:07:13development, uh the quote here breaks it

2:07:15down. So we've built a capable

2:07:16development shop. So we've got a really

2:07:18good development shop on our hands.

2:07:19We've got a great team. We are able to

2:07:21deliver quality projects. Now it's time

2:07:23to diversify our income and build a

2:07:25support team for me on the marketing

2:07:26side. Basically, we have the AI

2:07:28expertise now. we've proven that we know

2:07:29how to do this. We've helped so many of

2:07:31our clients do the same. Now you can

2:07:32start to like break that that knowledge

2:07:35and expertise into other services. Okay,

2:07:37we can help you with consulting and

2:07:38identifying what best use cases can be

2:07:40used within your business or we can make

2:07:42an AI education package to help your

2:07:44organization understand this technology

2:07:45as a whole and you can start to sell

2:07:47different services to different

2:07:48segments, not necessarily just those

2:07:50businesses who are ready for AI

2:07:51implementation within their business. So

2:07:53that's what the consultant represents in

2:07:54that team. it's expanding outside of

2:07:56implementation to say a3 or $5,000 of a

2:08:00of a consulting package. Or you might

2:08:01put together some kind of workshop and

2:08:03the consultant hops on and and educates

2:08:05a business for a few thousand for a

2:08:062-hour workshop. There's these kind of

2:08:08options that open up now that you

2:08:09actually have the credibility of we

2:08:11build AI stuff for businesses. We know

2:08:13what we're talking about. That's why you

2:08:14don't start with education and

2:08:16consulting immediately. You do need to

2:08:17kind of learn the ropes and figure out

2:08:19what actually works so you can go back

2:08:20and sell those services with some kind

2:08:22of credibility. You can get away with it

2:08:24just immediately, but the credibility

2:08:26really comes from we have this this

2:08:28we've done. This is why we can tell you

2:08:30or direct your business on how to

2:08:31implement on your AI strategy moving

2:08:33forward. And so finally, as promised,

2:08:35the compensation estimates are here. Um

2:08:37these are just the starting monthly

2:08:39cost. You will likely get people asking

2:08:41for pay rises or they're performing

2:08:42really well. So you want to increase

2:08:44their pay, but this is roughly the the

2:08:46starting monthly costs or or starting

2:08:47fees that you're going to have for these

2:08:48different staff members. So, the revenue

2:08:50share developer, you can start off at

2:08:5220% or 30% depending on how the

2:08:54negotiation goes. Um, so that's for the

2:08:56early stages where you're taking on,

2:08:57hey, I have a $3,000 project. If you

2:09:00want to build it for me, we can do a rev

2:09:01share. You get 30%. Even again, it

2:09:03depends on the on the person you're

2:09:04working with. But if you can get around

2:09:06that 20 to 30%, that's ideal. Then your

2:09:08virtual assistant, you can expect to pay

2:09:09about $1,000 a month for that. If

2:09:10they're working around the clock, you

2:09:12might not have that much work for them.

2:09:13So, it might be less, but if you're

2:09:14talking about a full-time virtual

2:09:16assistant, that's about how much you're

2:09:17going to be paying. Your senior AI devs

2:09:19will start at $8,000. Your junior AI

2:09:21devs will start at $5,000. Your

2:09:22bookkeeper and finance will start at

2:09:24$500 to $1,000 a month depending on the

2:09:26level of services that you need. Then

2:09:28your CTO comes in at a whopping $12,000

2:09:30per month, which is why we wait a little

2:09:32bit longer to get them involved. The CMO

2:09:34can be around $6,000 a month. Your

2:09:36copywriter can be three. Then you have

2:09:37your product and client relations

2:09:38manager, which can cost around $5,000 a

2:09:40month as well. So again, these are

2:09:41starting prices. you may be able to find

2:09:43cheaper elsewhere, but these are just

2:09:44the costs that we've encountered at

2:09:45Morningside AI in order to get good

2:09:47talent at these different levels of uh

2:09:49levels of seniority and across all of

2:09:50these different roles in general. So,

2:09:52hope that's been helpful. Um, I tried to

2:09:53bake in as much of my experience over

2:09:55the past nearly 2 years of building

2:09:57these businesses um into that. I really

2:09:58hope that that's demystified a lot of

2:10:00these different things like what should

2:10:01I be focusing on and when. I will be

2:10:02putting the slideshow on my free school

2:10:04community. There's a little post you can

2:10:05find in the YouTube resources. This

2:10:07entire slideshow will be on there for

2:10:08you guys to take if you want. But yeah,

2:10:09that's all for the video.

Niched vs General

2:10:14Today I've got a quick video breaking

2:10:15down general versus niched AI automation

2:10:17agencies, the two different methods or

2:10:19main methods in the market right now and

2:10:21why choosing wrong could be the biggest

2:10:22mistake you make in your journey. So

2:10:24it's so vital that you pick the right

2:10:26one and in this video I want to break it

2:10:27down and give you a step-by-step

2:10:28strategy. So here's the key takeaways.

2:10:30Understand the key difference between

2:10:31niched and general AAA's. Uh knowing the

2:10:33pros and cons of each of the models, uh

2:10:35deciding which one of these is best for

2:10:37your unique situation. And finally, I'll

2:10:38be ending the video with a six-step

2:10:40action plan to start your own, depending

2:10:42on which one is right for you. So, if by

2:10:44the end of the video, it's clear that a

2:10:45niche agency is right for you, you'll

2:10:46get a six-step plan to start one. And if

2:10:48by the end of the video, a general one

2:10:50is clearly right for you, you're going

2:10:51to get a six-step process to start your

2:10:53own general agency. So, let's get into

2:10:54it. And for full transparency, because I

2:10:56know YouTube could do with a lot more of

2:10:57that. Um, I make these videos so that I

2:10:59can educate you to start your own AI

2:11:00agency and and successfully run one so

2:11:02that you can become a potential customer

2:11:04for the software that I make for

2:11:05successful AI agency owners. So the more

2:11:07money you make with AI automation agency

2:11:08and the one that you start, the more

2:11:10customers I have my SAS and the more I

2:11:12can potentially sell my SAS for

2:11:13eventually. So um if if you don't win, I

2:11:15don't win. And that's why we're kind of

2:11:17in this thing together. So So let's do

2:11:18this. General first niche agencies.

2:11:21First example we can look at is in

2:11:22nature. So in nature there are

2:11:24ecological niches. All organisms adapt

2:11:26through natural selection if that's what

2:11:27you choose to believe. But they adapt to

2:11:29fulfill different ecological niches. And

2:11:31we have either specialists or

2:11:33generalists. In this case here, you can

2:11:34see a koala and a panda. They are

2:11:36specialists. They have a narrow niche.

2:11:37Uh they're less adaptable because they

2:11:39have specialized needs. They are more

2:11:41likely to become extinct because they're

2:11:42less adaptable to change. Um they use a

2:11:45specific set of resources. I think

2:11:46koalas just eat eucalyptus leaves of

2:11:48eucalyptus trees all the time. Um so you

2:11:50get the idea. Specialists are very

2:11:52narrow. They they occupy one little area

2:11:54of the wider ecosystem, but they do it

2:11:56well and they escape competition by uh

2:11:58succeeding within the small niche. And

2:12:00then we have generalists who have a

2:12:01broad niche. They are adaptable to many

2:12:03environments, therefore less likely to

2:12:05become extinct, and they use a variety

2:12:06of resources to to survive, right? Um,

2:12:09so these are the two different types.

2:12:10And you can see obviously we've got rats

2:12:12and raccoons as being generalist, and

2:12:14they're much more hearty. I mean,

2:12:15alligators and stuff like this that have

2:12:16been around basically unchanged for for

2:12:19millions of years. Then we have

2:12:20specialists on the other side. And the

2:12:21specialists are typically where the

2:12:22majestic and interesting animals are,

2:12:24while generalists are sort of functional

2:12:26and they don't have too many frills. So

2:12:27we can learn a lot from nature and how

2:12:28these different organisms adapt and the

2:12:30benefits and drawbacks of being

2:12:32specialists or generalists as you're

2:12:33going to see reappear throughout this

2:12:34presentation. So firstly we have general

2:12:36agencies in the in the AI automation

2:12:38agency space. An example of this is my

2:12:40own agency morning site AI which is

2:12:42basically a if you want it we can build

2:12:44it. So we have the capabilities in the

2:12:45team to basically deliver anything as

2:12:47long as it's within the realm of

2:12:48possibility right so this consists of a

2:12:50team of AI developers. We've got some

2:12:52low code specialists as well that are a

2:12:53little bit cheaper. If you haven't seen

2:12:54my hiring video I'd check it out up

2:12:56here. That's a very important one that I

2:12:57posted last week. And we have some front

2:12:59end devs as well. So, you're not always

2:13:00going to have front end devs, but

2:13:01because we do some some full platform

2:13:02buildouts at Morningside, we also have

2:13:04front end devs on hand, too. And the

2:13:05usual sales process for general agencies

2:13:07is a discovery call, then going to scope

2:13:09it, you do a proposal, and you sign a

2:13:11deal. So, it's very much what do you

2:13:12need? Let's figure it out. Let's get on

2:13:13the same page. Okay, this is how much

2:13:14it's going to cost. Great. Let's get

2:13:16going. And so, the pros and cons of the

2:13:17general agency model. Uh the pros are

2:13:19firstly that you don't need an offer and

2:13:21that if you set your agency upright and

2:13:23your lead generation systems are solid,

2:13:24people will be coming to you and telling

2:13:26you what they want. So because you don't

2:13:28need an offer and you don't need to

2:13:29identify what these people need and and

2:13:31sell it to them. They're going to come

2:13:32and tell you what they want. So it's a

2:13:34lot easier to start. You can say we have

2:13:36the team, you have the problem, let us

2:13:38know what you want and we'll try to

2:13:39build it for you. So easier to start

2:13:40because you don't need to do market

2:13:42research and come up with an offer.

2:13:43Secondly, we have a larger TAM or total

2:13:45addressable market. I put asterisk on

2:13:46the TAM because I think it's a bit silly

2:13:48to be talking about, oh, but my market

2:13:49is bigger than yours cuz I mean it's

2:13:51we're so new to it that there's very few

2:13:52service providers in these different

2:13:54niches. So, that's not a major, but

2:13:56essentially you have a larger pool of

2:13:57people that you can sell to. Thirdly, as

2:14:00a general agency, you get to taste a lot

2:14:01of different niches. Um, because you're

2:14:03working with anyone who comes to you,

2:14:04you get to see how AI can be applied in

2:14:06different industries, which can be very

2:14:07helpful for you as the agency owner to

2:14:09build up a better mental model and

2:14:11understanding of how AI can help

2:14:12businesses. So at Morningside, I've

2:14:14learned so much from seeing the

2:14:15different businesses that we work with.

2:14:16And it helps me to communicate a lot of

2:14:18the stuff to you, which is why I why why

2:14:20I know so much. Basically, number four

2:14:21is that as a general agency, you're more

2:14:23nimble and adaptable by not being

2:14:24specifically focused on one niche or one

2:14:26offer. You're able to change and update

2:14:28whenever you need to. So when OpenAI

2:14:29drops an update, you can go back to

2:14:31clients and say, "Hey, look, GPT5's come

2:14:32out. Do you want this? Oh, there's this

2:14:34new product coming out from Google.

2:14:35Okay, do you want this?" You're very

2:14:36nimble and adaptable. Or you can start

2:14:38offering consulting and you can pivot in

2:14:39any direction you want. And that's

2:14:40that's the last point here which is you

2:14:42can always niche down later. So if you

2:14:44unnimble your you do see a good

2:14:45opportunity then you can narrow down

2:14:47your agency to a specific area which is

2:14:49what I recommend you guys doing if you

2:14:50start an agency like a general one. Then

2:14:52we have the cons of the general agency.

2:14:54Firstly because you're a general agency

2:14:55you're not seen as a specialist and

2:14:57therefore the value of your services is

2:14:58perceived as lower by the people that

2:15:00you're going to be selling to which can

2:15:01be an issue if you were AI. I mean

2:15:04hypothetically if you had an e-commerce

2:15:05customer and you had two agencies

2:15:07competing for it. one was a specialized

2:15:08e-commerce AI agency and one was just a

2:15:10general agency. Um, which one would you

2:15:13choose? Right? So, that's that's the

2:15:14basic concept of not being seen as a

2:15:15specialist. Secondly, you have lower

2:15:17reusability and therefore lower profits.

2:15:19So, this goes back to what I covered in

2:15:20my my hiring video as well that I

2:15:22recommend you go watch. But, when you

2:15:24are selling uh as a general agency,

2:15:26you're likely going to be taking clients

2:15:27from all different industries. Every

2:15:29single time someone comes in, it's going

2:15:30to be new and you need to plan it and

2:15:31build it from scratch. So, there's less

2:15:33reusability between clients. But if

2:15:35you're doing a niche agency, as you're

2:15:36going to see in a second, you can sell

2:15:38basically the same thing over and over

2:15:39and over again just with minor tweaks

2:15:41between them. So less reusability.

2:15:43You're building it from scratch every

2:15:44time. Therefore means there's lower

2:15:45profits because there's more time and

2:15:46manh hours being put into uh every

2:15:49single one of those projects on in

2:15:50general. You know, you can you can tweak

2:15:52around the margins, etc. But as a

2:15:54general rule of thumb, it's going to be

2:15:55lower profits. Thirdly, as a general

2:15:56agency, you're likely not going to have

2:15:58any offers and say we build X for Y

2:16:00amount of money. You can I've seen some

2:16:02people experiment with it, but I haven't

2:16:03done it myself. Uh but it's harder to

2:16:05market yourself when you don't have an

2:16:06offer. You don't know who you're

2:16:07supposed to reach out to and you can't

2:16:08really angle it and say we make X for Y

2:16:11businesses by doing Z. So it makes it a

2:16:13little bit harder to market your

2:16:14services. Now fourth, we have a higher

2:16:15complexity and therefore a higher issue

2:16:17rate. So if you're building customcoded

2:16:19stuff from scratch every time or you're

2:16:21building not necessarily custom coded,

2:16:22but if you're building custom projects

2:16:23from scratch every time um to the

2:16:25client's needs, you're therefore going

2:16:26to have a higher issue rate. you're

2:16:28going to have more problems that come up

2:16:29because when you're reinventing the

2:16:30wheel every time and and coming up with

2:16:32a new solution, you're to some degree

2:16:33testing and and and making a hypothesis

2:16:35and and seeing if that's right. And when

2:16:37it's wrong, you have to go back and and

2:16:39continue to to work on the project and

2:16:41bring more developers in, etc. So, a

2:16:42higher issue or problem rate typically

2:16:44results in lower client satisfaction and

2:16:46also lower profits because you're

2:16:48tending to spend more time going back

2:16:49and and paying your developers to work

2:16:51on the same problem that you've already

2:16:52solved. So, it's it's it's highly

2:16:53inefficient if you don't have the right

2:16:55talent. Number five one here is less

2:16:56compounded credibility. And this comes

2:16:58from by doing projects in a bunch of

2:16:59different niches and you're not

2:17:00consistently delivering one or or

2:17:02building up some kind of track record.

2:17:04When you go to pitch another client and

2:17:05they say, "What have you done?" Well,

2:17:06I've done 10 other projects in

2:17:08completely different industries, your

2:17:09perceived expertise is lower and

2:17:12therefore your it's going to be harder

2:17:13to close those deals and you can charge

2:17:15you won't be able to charge as much. So,

2:17:17um, as you'll see with the niche

2:17:18example, it's a lot different there, but

2:17:20you have less compounding credibility

2:17:21because all your projects spread out

2:17:23across different industries. Next point

2:17:24here is that you're going to need more

2:17:25expensive devs. This is because if

2:17:27you're building on request and you're

2:17:28building custom solutions for your

2:17:29clients each time. Um then you're going

2:17:31to need to hire people who are smarter

2:17:33or have more experience and are better

2:17:35able to solve problems and architect

2:17:37solutions as well. So you're naturally

2:17:38going to be spending more to get

2:17:39developers who are capable enough to

2:17:41come up with these custom solutions

2:17:42every time. And finally, there's

2:17:43actually less bang for your buck for

2:17:45your clients when you are doing custom

2:17:46development solutions. A good example of

2:17:47this is a student of mine, Isaiah, who's

2:17:49built an AI appointment setting system

2:17:51for Instagram DMs for coaches. And I

2:17:53believe it's a $5,000 package at the

2:17:54moment with some usage attached to it.

2:17:56He can sell that to his his clients for

2:17:58$5,000 plus usage, right? Um because

2:18:00he's put in all the work and he's built

2:18:01the product and it now has a thing that

2:18:03he can just reuse and and resell. So he

2:18:05can sell it for $5,000 because he knows

2:18:06he's going to be able to sell multiple

2:18:07of it. But if that same client came to

2:18:09me and my team at Morningside and we do

2:18:11everything custom and from scratch, when

2:18:13they come to us, I'd need to charge him

2:18:14$30,000, $50,000, $60,000 just to try

2:18:17and rebuild what Isaiah and his team as

2:18:18a niche agency have done. So the client

2:18:20is technically getting less bang for

2:18:21their buck. they're having to pay more

2:18:22to get the same thing if you are always

2:18:24doing custom projects as a as a general

2:18:26agency. So next we have niche agencies

2:18:28which is basically you have a problem

2:18:30and I've built the solution. Um you have

2:18:32a single product or even a suite of

2:18:34products that address some problems

2:18:35within a given niche or market and for

2:18:37your team you need to have some kind of

2:18:38product lead or or lead developer who's

2:18:40leading the development of the product

2:18:42and improvement and a team of deliverers

2:18:44potentially. So you can have a guy who's

2:18:46okay this is our product this is what we

2:18:47need to do. these are the new features

2:18:48we need to add and they can build build

2:18:50build but then whenever a new client

2:18:51comes in and says hey I want to buy your

2:18:52niche solution you just have some junior

2:18:54developers who your lead developer or

2:18:56product lead can actually pass the the

2:18:58the template to one of your junior

2:19:00developers and they can go in and

2:19:01deliver it for the clients. So you've

2:19:02got the brains and you've got some

2:19:04junior developers who can actually do

2:19:05the the grunt work of delivering it to

2:19:07the different clients as you on board

2:19:08them. So, as I said, my student Isaiah

2:19:10has this AI appointment setting system

2:19:11for Instagram DMs for for coaches. And

2:19:14this is his website here. And they

2:19:15clearly specialize in chat bots. In this

2:19:17case, AI appointment setting systems for

2:19:18their businesses. So, jumping into the

2:19:21pros and cons and the pros of the niche

2:19:22agency are naturally the inverse of the

2:19:25general agency. So, you are seen as a

2:19:27specialist. You have higher reusability

2:19:29and therefore higher profit. you have a

2:19:31clear offer, so it's easier to market

2:19:32yourself and really laser target the

2:19:34people that you're trying to contact and

2:19:36and say things that connect with them

2:19:37and and make them want to purchase. And

2:19:39fourth, you have a lower complexity when

2:19:41you're doing the delivery and therefore

2:19:42a lower issue rate because these

2:19:44delivery junior developers are just

2:19:45going to be taking the the system or the

2:19:47template that you provided and they can

2:19:48just copy and paste it across different

2:19:50people and tweak it based on the

2:19:51client's needs. Um, therefore, you have

2:19:53a lower issue rate because you're not

2:19:54building it from scratch every time. And

2:19:55I have asterisks here just to point out

2:19:57that the lower complexity is only after

2:19:58you've built that first version or or a

2:20:01satisfactory version of the product and

2:20:03then it's relatively easy to to

2:20:04distribute that out. But the building of

2:20:06of a solid product that provides real

2:20:08value is is very difficult as you can

2:20:10see on the con side. So um fifth point

2:20:12here is that you get more compounding

2:20:14credibility. You're selling the same

2:20:15thing over and over and you can say

2:20:16we've helped 20 businesses just like you

2:20:18to achieve XYZ and you get real data

2:20:20points and suddenly you're making much

2:20:22more compelling offers. And finally, uh,

2:20:24you get to use less expensive devs for

2:20:26those deliverers. You know, once you're

2:20:27actually distributing it and and putting

2:20:29it onto clients businesses, you can use

2:20:31less expensive devs that don't need to

2:20:32reinvent the wheel every time. Jumping

2:20:33into the cons, these again are kind of

2:20:34the inverse of the the pros of the

2:20:36general model. Um, and that you first

2:20:38need to solve a real problem. Um,

2:20:39therefore, it is harder to start. You

2:20:41need to identify, do some market

2:20:42research or understand a niche yourself,

2:20:44be able to identify something, say,

2:20:46there is a problem in the industry. I

2:20:47think I can solve it with AI and then

2:20:49you need to actually build the solution.

2:20:50So, it's it's a lot harder to start

2:20:52because you might spend 3 months

2:20:53thinking you're solving a problem and

2:20:54getting to the end and realizing no one

2:20:56wants it, which is really the risk with

2:20:57the general agency. Um, secondly, you

2:20:59have a smaller total addressable market

2:21:00again with an asterisk um because you're

2:21:02narrowing down to serving only a certain

2:21:04set of people. You're less nimble and

2:21:06adaptable. So, if OpenAI drops a big

2:21:08update and just wipes you out if you're

2:21:09not careful, that's a real risk for

2:21:11running a niche agency and something you

2:21:13need to to factor into your decision to

2:21:15go into one. Fourth point here is that

2:21:17it's hard to generalize and step back

2:21:19once you've niched down. So say I I say

2:21:21I build um automation systems for XYZ

2:21:24niche that solve XYZ problem and and

2:21:26I've based my whole agency and my whole

2:21:28brand around we do this very specific

2:21:30thing. It's hard if you bought the

2:21:31domain and made the website and and

2:21:33talked to a whole bunch of people and

2:21:34made a whole bunch of posts on your

2:21:35YouTube channel. It's hard to generalize

2:21:37and roll back after that if you've

2:21:39already niched down. So that's one of

2:21:40the cons is that it's it's really hard

2:21:42to go it's easy to go down. It's hard to

2:21:44go back. And finally, creating a good

2:21:46product that actually solves a problem

2:21:48and that people want to that climbing

2:21:49overhand and fist to get access to is

2:21:51hard. Finding product market fit is

2:21:53hard, but once you can achieve it and

2:21:55once you get there, it is worthwhile.

2:21:56And so with these in mind, which one is

2:21:58best for you and your unique situation?

2:21:59So, uh, for general agencies, if you

2:22:02don't have any clear experience in in a

2:22:04niche, say you haven't worked in in the

2:22:06accounting space or the financial

2:22:08services industry for 10, 20 years, and

2:22:09you don't really understand a niche

2:22:12inside out, you haven't maybe run a

2:22:13business in the space before and

2:22:14understand, I mean, I had a landscaping

2:22:16business. I know that that's a really

2:22:17good problem and I I could very easily

2:22:19go in and solve it. If you don't have

2:22:20clear experience that's giving you ideas

2:22:22for problems to solve, um, then a

2:22:24general agency is probably the best

2:22:25option. And secondly, if you don't have

2:22:26a bunch of connections that can allow

2:22:28you to start having conversations with

2:22:29business owners in a certain area that

2:22:31can give you insights on what problems

2:22:32they're trying to solve um or have

2:22:34connections that you can sell to or use

2:22:36as a referral partners to distribute

2:22:37your solutions later on once it's done.

2:22:39So if you don't have experience, you

2:22:40don't have clear connections, then a

2:22:42general agency is probably the best

2:22:43route for you. And starting a general

2:22:44agency doesn't require a ton of upfront

2:22:46capital. I didn't have to invest a huge

2:22:47amount of money into Morningside to get

2:22:49it off the ground. I just started making

2:22:50my YouTube videos and we were off to the

2:22:51races once the leads started coming in.

2:22:53And if you are new to business, a

2:22:54general agency can be a better starting

2:22:56point for people getting into

2:22:57entrepreneurship as well. It allows you

2:22:59to learn the skills more slowly and

2:23:00gradually than to throw yourself head

2:23:02first into a niche agency. Now, for a

2:23:04niche agency, uh if you have the

2:23:05industry experience, like I said, you

2:23:07know the pain points of a given industry

2:23:08and you can go straight in there and

2:23:09say, "I'm going to solve this problem."

2:23:11If you have a strong pool of connections

2:23:12that you can start using to distribute

2:23:14this solution once it's done, that's

2:23:15great. If you do have some capital on

2:23:17hand or you have some money that you can

2:23:19invest into building a solution, you

2:23:20might need to go to a developer or a

2:23:22development team and say, "I know what I

2:23:23need. Here's the money. Build it and

2:23:25then I can go and sell it." So that's in

2:23:27the case where some capital will be very

2:23:28helpful for you in starting your niche

2:23:30agency. And finally, being experienced

2:23:31in business can be very helpful when

2:23:32you're starting a niche agency because

2:23:34you you understand how a business works

2:23:36overall. Okay, there's sales teams,

2:23:37there's lead generation, there's this,

2:23:38this when you understand end to end how

2:23:40businesses work, it's much clearer and

2:23:42it's much easier to identify where you

2:23:44can provide value. So just pause the

2:23:46video now have a think is based on these

2:23:48criteria on screen is a general one best

2:23:50for me or is a niche agency best for me

2:23:51and the way I've formatted this should

2:23:53help. If it's bolded you have to have

2:23:54it. So if you're going to choose niche

2:23:56you have to have the industry experience

2:23:57you have to have a strong pool of

2:23:58connections but these are are nice to

2:24:00have haves but if you're looking at

2:24:01being a general agency owner you

2:24:02shouldn't have any significant

2:24:03experience and you shouldn't have any

2:24:05significant connections in which case

2:24:06you would have been over there. So make

2:24:07sure that you stick to the way that I

2:24:09formatted these cuz these are nice to

2:24:10haves. These are must haves. So now that

2:24:11you know which type of agency is best

2:24:13for you, you need this sixstep strategy

2:24:14on how to start. So with general

2:24:16agencies, this is the fastest route to

2:24:18start and and get up and running that I

2:24:19would recommend. Firstly, start a

2:24:21personal brand as I have done here on

2:24:22YouTube. Whether that's LinkedIn,

2:24:24YouTube, u Medium or Twitter, whatever

2:24:27you want to choose, just pick one and do

2:24:28it well. Secondly, you need to start

2:24:29tinkering with AI solutions and learn

2:24:31the platforms that I talk about here on

2:24:32the channel. So you need to at least

2:24:33become familiar with the tools that we

2:24:35use to deliver the solutions and get an

2:24:37idea of, okay, this is the value that I

2:24:38can start to create. So at least a

2:24:39fundamental understanding can be gained

2:24:41from tinkering around and watching my

2:24:42tutorials. Thirdly, you need to start

2:24:44sharing your builds and your learnings

2:24:45on your personal brand platform, whether

2:24:47that's LinkedIn or YouTube, etc. This is

2:24:49going to start to build your authority

2:24:50and also lead to growth on these

2:24:52platforms as well. This is what I've

2:24:53done on YouTube. You can scroll back and

2:24:54see my entire history of doing this on

2:24:55this channel. So fourth, uh you need to

2:24:58offer free consulting calls that can

2:24:59help businesses with AI. And this can be

2:25:01done through posting, say on LinkedIn,

2:25:03you're making posts and saying, "Hey, if

2:25:04you're interested, you can book a

2:25:06consulting call with me here for free."

2:25:07And at the same time, you should also be

2:25:08doing warm reach outs to anyone that you

2:25:10have access to and saying, "Hey, would

2:25:12anyone that you know be interested in

2:25:13the stuff that I've been posting about

2:25:14on my LinkedIn or my on my YouTube?"

2:25:16Using content and warm reach outs is how

2:25:17you're going to start to have

2:25:18conversations with business owners,

2:25:19which is going to lead you down the down

2:25:21the road towards actually signing your

2:25:22first couple of clients. And in this

2:25:23case, number five, I say start working

2:25:25for free. So, use the skills that you

2:25:27got from tinkering around, start to put

2:25:28it into practice, and actually working

2:25:30with real businesses and real real

2:25:32systems and real data. Uh it's really

2:25:34key to step up from tinkering to actual

2:25:36delivering or at least mocking up some

2:25:37prototypes for these free clients. And

2:25:39finally, once you've got the raw rolling

2:25:40and you've got some rhythm, you're

2:25:41building your confidence, you can then

2:25:43start to increase your prices and hire

2:25:44your first developer using the the video

2:25:46that I've done that I've mentioned

2:25:47already, which will be down in the

2:25:48description if you didn't catch up

2:25:49there. Next, as a niche agency, it's a

2:25:51bit of a different strategy. Firstly,

2:25:52you need to identify a problem to solve.

2:25:54And this should be either from your

2:25:55experience or using your connections

2:25:57experience to identify the problem that

2:25:59you want to solve. So once you've got a

2:26:00problem to solve, you can then start to

2:26:01create the prototype yourself by

2:26:03tinkering around with the tool. Same

2:26:04sort of thing. Or you can hire a

2:26:06developer. And I recommend doing that

2:26:07through my school community. Go on to

2:26:08the school first link in the

2:26:10description. Free to sign up. Put a post

2:26:11up. Hey, I have clients in XYZ niche who

2:26:14really want me to build XYZ for them. Is

2:26:16there anyone in here who can do it for

2:26:17me? Number three, once you have a

2:26:18working prototype or a first version of

2:26:20the product that you're looking to sell,

2:26:21go and show it to your warm connections

2:26:23and ideally find your first client from

2:26:25one of them and start to implement it

2:26:26and test it on their business. Step

2:26:27number four is to continually invest in

2:26:29improving this product until that client

2:26:31is happy. So, put in the work, put in

2:26:33the hours, invest money, whatever you

2:26:34need to do to continue to iterate this

2:26:36product towards being something that you

2:26:37can actually start charging for. Um,

2:26:39number five, you need to start finding

2:26:40more people like that first client that

2:26:42you helped and and got a happy result

2:26:44for using strategies like warm

2:26:45reachouts. Contact people that you know

2:26:46and say, "Hey, I built this thing. Would

2:26:48you or someone you know be interested in

2:26:49trying it out in their business xyz?"

2:26:52You can also start posting content on

2:26:53these different platforms. You can start

2:26:54running ads if you want, and you can

2:26:56even start doing cold reachouts or or

2:26:57cold outreach to different people who

2:26:58have never even heard of you before. And

2:27:00step number six is to continue improving

2:27:02the product, continue increasing your

2:27:04prices as you go, and before you know

2:27:05it, you're running a successful niche

2:27:07agency. All righty. So, key takeaways,

2:27:08making sure that I've done everything I

2:27:09said I do in this video. Firstly, you

2:27:11understand the difference between a

2:27:12niche and general AI automation agency.

2:27:14Correct? Secondly, you know the pros and

2:27:17cons of each. Thirdly, you've decided on

2:27:19which one is best for you. And finally,

2:27:21you have a clear plan on your next

2:27:23steps.

2:27:27Over the past two years, I've built and

Finding Your Unfair Advantage

2:27:29sold AI automation systems in every

2:27:31niche imaginable, from international

2:27:33logistics to martial arts to even

2:27:36recently an NBA team. And through my

2:27:37free and paid communities, I've seen the

2:27:39successes and the flops of thousands of

2:27:42AI automation agency owners when it

2:27:44comes to niching down. And so, I'm

2:27:45pretty uniquely positioned to know

2:27:46what's working and what isn't when it

2:27:48comes to AI automation agency niches.

2:27:50And so in this video, I wanted to make

2:27:52sure as many of you as possible start

2:27:53the year on the right foot by revealing

2:27:55my number one pick for AI automation

2:27:57agency niches in 2025. So if you want to

2:28:00start building an AI business or start

2:28:02making money from the AI space

2:28:03generally, then you can take my exact

2:28:05pick that I would choose right now if I

2:28:07was to start over. Now, niching down is

2:28:08of course an extremely important part of

2:28:10running a business. It affects basically

2:28:12everything you do from the skills you

2:28:14need to learn like if you're

2:28:15specializing in a certain area, the

2:28:16kinds of clients you're going to work

2:28:17with and be targeting and reaching out

2:28:19to, the way your business operates in

2:28:21terms of the size of the deals you're

2:28:22going for, the retainer structure or the

2:28:24payment terms you take. And all of this

2:28:26determines really the the feel and how

2:28:28the business runs. It's such a

2:28:29significant part of it and it's

2:28:30something I see beginners struggling

2:28:32with all the time. So I wanted to sort

2:28:33of clarify firstly what niching down is,

2:28:35right? So your agency niche is what I I

2:28:38prefer to call as your agency scope and

2:28:40that refers to what you sell and who you

2:28:42sell it to. So your agency scope can be

2:28:44anywhere from completely general to all

2:28:46the way to fully productized service

2:28:48where you're selling a specific set of

2:28:50specific product or set of products to a

2:28:52certain set of people or you can be

2:28:53completely general and unleashed and do

2:28:54your best to deliver on everything that

2:28:56people ask you for. And so between this

2:28:57fully general model and the fully

2:28:59productized model of selling a specific

2:29:01set of products to certain people, you

2:29:03have a lot in between. And you have

2:29:04basically different shades of niching

2:29:06down, different stages is what we call

2:29:07it. And so you can niche down by just

2:29:08the industry that you're serving. So I

2:29:10make AI automation solutions for

2:29:12chiropractors or you can niche down by

2:29:14the category of solutions you provide.

2:29:15So I make AI voice agents. And so that's

2:29:18a way of niching down by solution type.

2:29:20And then you can start combining the

2:29:21both. So you could say, I make AI voice

2:29:23agents for chiropractors or I make AI

2:29:25appointment setting systems or AI

2:29:26receptionist systems for chiropractors.

2:29:28And you can start to combine the

2:29:29industry aspect with the solution

2:29:31category or the solution type. So it

2:29:33could be the category of voice agents or

2:29:35the type of appointment setters or AI

2:29:37receptionists, right? And then you can

2:29:38sort of cross them over and be even more

2:29:40narrowed down by what you sell and who

2:29:41you're selling to. So that's just a

2:29:43quick update if you're not familiar on

2:29:45the sort of niching specifics of AI

2:29:47automation agencies and the services we

2:29:48provide. Now that we have that out of

2:29:49the way, we can move on to what you all

2:29:51been waiting for, which is my number one

2:29:52pick for 2025. Now, as some of you have

2:29:55probably guessed, this is a bit of a

2:29:57trick question, and I'm not just going

2:29:58to give you one niche because it's

2:30:00actually not the best process for

2:30:01picking the niche. the number one niche

2:30:02for you will be very different to the

2:30:04number one niche for me and the diff

2:30:06very different to the number one niche

2:30:07for someone else. Right? So, give me two

2:30:09seconds and I'll explain this entire

2:30:10process, but I'm going to give you a a a

2:30:12worksheet or a process that you can go

2:30:14through to identify the number one niche

2:30:16for you because business is all about

2:30:18finding your unfair advantage, your

2:30:19unique advantage that puts you far above

2:30:22everyone else and you can really play

2:30:23your advantage and and that's how you

2:30:24get ahead. You never want to be joining

2:30:26the back of the queue or joining dead in

2:30:28the middle where where you are competing

2:30:29with everyone who's on the same level as

2:30:31you. All of us have innate strengths

2:30:32which I'm going to go through here.

2:30:34Based on your background, based on your

2:30:35connections, based on your interest, you

2:30:37need to base your niching strategy on

2:30:39something that gives you a a unique and

2:30:42unfair advantage. For example, in in my

2:30:43business, Morningside AI, we worked out

2:30:45that our unique advantage or unfair

2:30:47advantage is to be building AI

2:30:50automation systems for education and

2:30:51coaching businesses. Why? because I have

2:30:53my own education coaching business that

2:30:55one I deeply understand the problems in

2:30:57and therefore I can make much better

2:30:58systems that people actually want and

2:31:00two I have my own business to test it

2:31:01on. So I'm going to go through this

2:31:03worksheet with you now. This is actually

2:31:04directly from my accelerator and this is

2:31:06the first thing that people come in when

2:31:07they join my program. They go through

2:31:08this worksheet. So I want to give you

2:31:10guys a little freebie of the stuff that

2:31:11we do inside the accelerator because

2:31:12this is such an important part to get

2:31:14right and I thought the new year let's

2:31:15start everyone off on the right foot as

2:31:17possible. And so for the rest of this

2:31:18video, I'm going to be walking you

2:31:19through the finding your unfair

2:31:20advantage process that I take all

2:31:22accelerator members through. And at the

2:31:24end, I'm going to be sharing with you

2:31:24how you can get this worksheet yourself.

2:31:26And so you can go away and fill that all

2:31:27out and get the best niche for you in

2:31:292025. So this process of finding your

2:31:31unfair advantage is really a self audit.

2:31:33And it's broken into four different

2:31:34stages of business access, experience,

2:31:36connections, and interest. So I'm just

2:31:38going to walk through what each of these

2:31:39is about and why it's so important that

2:31:41you analyze this first in order to

2:31:42direct you towards a niche that's best

2:31:44for you. So firstly we have business

2:31:46access which basically means do you have

2:31:48a business that you have access to

2:31:49whether it's your own. Some people come

2:31:51into this business model with their own

2:31:52business that they're coming from or do

2:31:54you have access to maybe your your

2:31:56parents or your aunties or your uncles

2:31:58or or or your best friends or someone

2:32:00close to you who has a business who will

2:32:01basically give you access to that

2:32:02business where you can go in and try to

2:32:05identify use cases for AI automation and

2:32:07you have a very free roam and and low

2:32:09pressure environment to experiment and

2:32:11test. This is such a huge advantage and

2:32:12you should absolutely niche down to

2:32:14wherever you have access to a business

2:32:16because it gives you that space to

2:32:18experiment and learn it. I promise you

2:32:19if you were coming into this brand new

2:32:21and you're maybe not familiar with AI

2:32:22automation as a skill set and actually

2:32:24doing the technical side or you've never

2:32:26run a business before or both then this

2:32:28kind of freedom that you have and and

2:32:30safe space to innovate and test and and

2:32:32learn and stumble is the most important

2:32:34thing that you could get and by far the

2:32:35most valuable thing that you could have.

2:32:37So that's number one, business access.

2:32:39And by the end of this process, I'm

2:32:40going to explain sort of the grading

2:32:42criteria on what you should prioritize

2:32:43and when. But first one is business

2:32:45access. And I've got a little stat here

2:32:46for you. According to Startup Genome, on

2:32:48average, startups have to pivot upwards

2:32:50of seven times for achieving product

2:32:52market fit. So when you come into this

2:32:54new business and you're trying to find a

2:32:56solution that you can sell that is

2:32:58really creating value for people and you

2:32:59can sell repeatedly to other businesses,

2:33:01you may have to go into this business

2:33:03you have access to and try this and try

2:33:05this and try this up to seven or more

2:33:06times until you find something that's

2:33:08actually worthwhile. So that's just like

2:33:09setting the expectations and when you

2:33:10have that safe environment to do it by

2:33:12far the best thing. So that should be

2:33:14your number one pick. The second part of

2:33:15this self audit is centered around

2:33:17experience. So all of your past

2:33:18experience and the idea with this is

2:33:20that if you have maybe worked in the

2:33:22landscaping industry before or worked in

2:33:23the insurance space before, the

2:33:25experience that you gained in those

2:33:27years or maybe decades that you worked

2:33:28in it is going to allow you to

2:33:30understand the unique problems that that

2:33:31industry faces so that you can create a

2:33:33product or service around solving that

2:33:35problem. Business is all about value

2:33:36creation through problem solving. And so

2:33:38the core of anything you're trying to do

2:33:40when you're starting a new business is

2:33:41finding a valuable problem to solve. And

2:33:43so the experience you've gained allows

2:33:44it's firsthand experience, right? So

2:33:46this is allowing you to really pinpoint

2:33:48and target something that you know is

2:33:49painful that you are kind of data backed

2:33:51is what I try to tell all the

2:33:52accelerator members. Try to find some

2:33:54either firsthand or secondhand data that

2:33:56this is a problem that's worth solving

2:33:58so that you can start off on the right

2:33:59foot. I have another a stat here.

2:34:01Basically, this is going to remove a lot

2:34:02of the guesswork for you because if you

2:34:03come into a niche where you're

2:34:04completely new to it, you're going to

2:34:06go, I'll go on Reddit. I'll watch some

2:34:08YouTube videos. Sure, you can you can

2:34:09guess your way, but it is literally

2:34:11guessing what problems need to be

2:34:12solved. And again, I want to remind you

2:34:13of that stat. Startups have to pivot

2:34:15upwards of seven times before achieving

2:34:17product market fit where they have

2:34:18something that really serves the needs

2:34:19of the market that they're trying to

2:34:20serve. So, by doing this and

2:34:23prioritizing niching down based on your

2:34:24experience and understanding problems

2:34:26that that particular niche has, you get

2:34:28to eliminate as much of that guesswork

2:34:30and sort of jumping around as possible.

2:34:32And ideally, you just bang the nail on

2:34:33the head the first time. It's probably

2:34:34not going to happen. You probably are

2:34:36going to need a couple little pivots

2:34:37with the product or the service that you

2:34:38do, but you can sort of get the general

2:34:40area right first time. And that's why

2:34:42experience is so important. The third

2:34:43stage of the self audit is based on your

2:34:45connection. So, who you know, who you

2:34:47have relationships with. They might have

2:34:48been friends, colleagues, anyone in your

2:34:50family even. Basically any connections

2:34:52that will allow you to either firstly

2:34:54talk to them and say hey what problems

2:34:56and try to like leech off their

2:34:58experience and like I said the

2:34:59experience of firsthand like what

2:35:00problems are actually in this industry

2:35:02is ideal but if you have connections who

2:35:04have maybe 10 years experience in a

2:35:05certain industry you can have a

2:35:07conversation with them and say hey look

2:35:08what are the main problems that you're

2:35:09facing on the dayto-day can you sit down

2:35:10with me for a bit maybe you need to pay

2:35:12them a little bit if you're not very

2:35:13good friends with them or the connection

2:35:14isn't very strong or if it's a family

2:35:16member take them out for dinner or or go

2:35:18make dinner for them if you're truly

2:35:19trying to be a good family member and

2:35:21have a chat with them. Say, "Walk me

2:35:23through the biggest problems you're

2:35:24facing in your business." And really try

2:35:25to absorb all of the information and

2:35:27understanding they have of their niche

2:35:28and the problems that they face so that

2:35:30you can then go and create some ideas of

2:35:32services and products you can recommend

2:35:33to them. Say, "Hey, how would you like

2:35:34this? What about this? If I could build

2:35:36this automation that would take this off

2:35:37your plate, would that be really

2:35:38valuable?" And you just use them as a

2:35:39sounding board and go back and forth.

2:35:41And the second part of why connections

2:35:43can be so valuable is that one firstly

2:35:45they could be a a first client for you

2:35:47or a free client that you get to build

2:35:48it for. But more importantly, they could

2:35:50also have if they've been in the

2:35:51industry for a long time, have an

2:35:52extensive set of connections and you can

2:35:54say, "Hey, look, let's let's cut a deal

2:35:55here. Well, we've we've dialed it in.

2:35:57We've got it really working on your

2:35:58business or in your example, um, now we

2:36:00can take it and sell to other people. do

2:36:02you want to do a deal where um I can

2:36:03sell it for $4,000 and I'll give you a

2:36:05cut 50/50 or what you know you can do

2:36:07whatever cut you want there just to get

2:36:08things off the ground and they can

2:36:10actually help you with the distribution

2:36:11and they can provide referral leads and

2:36:13referral leads according to some of the

2:36:15data that I've I've found for us

2:36:16referrals as in people say your

2:36:18connection referring someone to you and

2:36:20saying hey look I know this guy who's

2:36:21got this really cool AI system or this

2:36:23great AI offer for for your consulting

2:36:24or education according to refer reach

2:36:26B2B organizations with referrals

2:36:28encounter a 71% higher conversion rate

2:36:31You also have faster deals overall with

2:36:3369% of B2B sales personnel believing

2:36:36that referred leads close faster than

2:36:38other leads per refer reach statistics.

2:36:40And finally, you get higher value

2:36:42customers through referrals as well. The

2:36:43Wharton School of Business found that

2:36:45referred customers have 16% higher

2:36:47lifetime value on average. Right? So

2:36:49massive benefits to referrals. So you

2:36:51can use connections in two ways. Either

2:36:52to learn more about their problems they

2:36:54face and really leverage their

2:36:55understanding of the problems that they

2:36:56face on the dayto-day and then use them

2:36:58as distribution partners if possible. So

2:36:59that's why connections are a massive win

2:37:01if you're trying to pick a niche where

2:37:02you have an unfair advantage. And the

2:37:04final part of the self audit to find

2:37:06your best niche for 2025 is based on

2:37:08your interest. What are you what gets

2:37:10you really excited? What gets you

2:37:11motivated and you're really curious

2:37:13about what what the potential is for

2:37:15this certain area. Your interest maybe

2:37:16centered around a certain niche is then

2:37:18like man I'm really interested in

2:37:19learning how I mean trades people. I

2:37:21keep using the example of plumbers. I

2:37:23just think it's so interesting that at

2:37:24some point plumbers are going to be

2:37:26using AI throughout their business and I

2:37:28mean someone's going to be the ones to

2:37:29facilitate that and sort of map out the

2:37:30the plumber AI stack, you know, I think

2:37:33that's pretty interesting to me. I don't

2:37:34I don't know why. But if you you may be

2:37:36interested in a certain niche and how AI

2:37:39can affect that and really help

2:37:40businesses grow or or have some impact

2:37:42in overall like there's agriculture cool

2:37:44stuff going on. There's healthcare, but

2:37:45I'd probably stick to something sort of

2:37:47more basic service-based business if

2:37:48possible. But again, your interest is an

2:37:50interest. And aside from just the

2:37:51industry that you could be interested

2:37:52in, you could be interested in the

2:37:54solution type or the category saying,

2:37:56"Hey, like I'm really interested in this

2:37:58AI appointment setting thing. I think

2:37:59there's so much value to be created with

2:38:00these systems and taking humans away

2:38:02from doing this mundane stuff and

2:38:03allowing them to focus I think AI

2:38:05appointment sets are really cool and I

2:38:06really want to go deep on that." Or it

2:38:08might be the solution category. So type

2:38:10is like the specific the category as the

2:38:11whole and the solution category of hey I

2:38:13think these AI voice agents have a lot

2:38:16of potential and I'm really interested

2:38:17and I like seeing where that's going. So

2:38:19an interest is an extremely good way of

2:38:21of picking an unfair advantage because

2:38:23if you have like I go back to Naval a

2:38:25lot on this Navar Raikant um he says do

2:38:27what feels like play to you but may look

2:38:28like work to others and this comes back

2:38:30to his concept of specific knowledge and

2:38:32he calls that stuff that you you can't

2:38:34go to school and be taught it. So

2:38:35specific knowledge might be knowing end

2:38:37to end how to implement an AI sales

2:38:39co-pilot system. You can go to school

2:38:41and get taught math. You can go to get

2:38:42school and taught the basics of

2:38:43economics, but you couldn't necessarily

2:38:45go to school or university and be taught

2:38:47end to end how to implement an AI sales

2:38:49co-pilot, right? There's a lot of extra

2:38:50I could tell you the steps and you could

2:38:52understand it, but the actual

2:38:53implementation of that, there's a lot of

2:38:55extra stuff and specific knowledge

2:38:56that's gained like the the potholes

2:38:57along the way that you need to dodge.

2:38:59And so he says specific knowledge like

2:39:00this is extremely valuable and we should

2:39:02all try to find it to be to be very

2:39:04successful. And specific knowledge is

2:39:05found much more by pursuing your innate

2:39:07talents, your genuine curiosity, and

2:39:09your passions. If you're not 100% into

2:39:12it, somebody else who is 100% into it

2:39:15will outperform you. And they won't just

2:39:16outperform you by a little bit. They'll

2:39:18outperform you by a lot. And so to bring

2:39:20this back to niching down and finding

2:39:21your unfair advantages here, I can use

2:39:23the example of myself at least. Um I am

2:39:25absolutely obsessed with this AI and

2:39:27business thing. And it is just and in

2:39:29content creation as well. This is

2:39:31something it's just I found the perfect

2:39:32mixture of things that interest me and

2:39:34that I'm good at. And that's why you

2:39:35have seen me if you guys have been

2:39:36watching me for a while really just

2:39:38absolutely take off in the past few

2:39:39years. And I'm so grateful for that. And

2:39:41while I am of course grateful for the

2:39:43monetary stuff and everything that comes

2:39:44with it, but I'm actually more grateful

2:39:45that I found something as a job and as a

2:39:47as a career that combines all of my

2:39:49interest and also matches my my talent

2:39:52and skills, if you want to call it that.

2:39:53And I've seen time and time again people

2:39:55try to copy what I'm doing or try to

2:39:57also get into AI cuz they just see it as

2:39:59a shiny object and because they don't

2:40:01actually love it, they just get like a

2:40:03fraction of the results that myself and

2:40:04my team have got. So please if you are

2:40:07looking for any the the interest and

2:40:09something that actually motivates you

2:40:10and you're really interested in is a

2:40:12significant factor but I do see interest

2:40:14and passion as a nice to have in this

2:40:16case and also as a last resort. So if

2:40:17you give me a second I'll break down how

2:40:19these different things. We've got

2:40:20business access, we've got experience,

2:40:22we've got connections and interest. So

2:40:23breaking down the scoring criteria,

2:40:25business access is number one. If you

2:40:27looking to pick your ideal niche for

2:40:282025, wherever you have access to a

2:40:30business should be the place you start.

2:40:32That is by far the most important thing.

2:40:33Even if you're not super interested in

2:40:35it, trust me, if you start making

2:40:37progress and making money from it, you

2:40:38kind of get naturally interested in it

2:40:40as well to a certain degree. And if you

2:40:41don't have business access, the second

2:40:42best option is a niche where you have

2:40:44both experience and connections, right?

2:40:46So if you have experience, know the

2:40:47problems, connections to help sell that

2:40:49and distribute it. That's second best.

2:40:52And then third best is if you have

2:40:53either connections or experience. So one

2:40:55or the other, that's third best. And

2:40:57number four is if you don't have any of

2:40:59those options, you just have some

2:41:01interest in hey oh these these like AI

2:41:03automation and building things on make

2:41:05an air table and stuff seems interest or

2:41:06I'm interested in voice agents. Just

2:41:08having some kind of interest is the the

2:41:10bare minimum and in the bottom bottom

2:41:12tier of this. However, interest can also

2:41:15be added on top of all of those. So if

2:41:16you have business access and you're

2:41:17really into it, that's even better. If

2:41:19you have business or if you have

2:41:20experience and connections and you're

2:41:22really obsessed about it, then that's

2:41:23even better. So interest is more of like

2:41:24a nice to have and like a jet fuel or a

2:41:27rocket booster that you can strap on to

2:41:29your your niching selection and your

2:41:31business as a whole. But if you do have

2:41:32the business access, experience,

2:41:33connections, etc. and don't have

2:41:35interest, don't worry about it. But

2:41:36again, to reiterate, priority should be

2:41:38business access and then experience

2:41:39connections. Interest is a nice to have.

2:41:42And also, if you don't have any of those

2:41:43three, then interest is is a is a good

2:41:46last resort. So if you don't have any

2:41:48other option, do what you interested in.

2:41:50All right, so that's the breakdown. And

2:41:51and if you don't have anything that

2:41:52you're interested in the AI space, then

2:41:54go out and watch some videos. Go and

2:41:56watch more of my stuff, watch more of

2:41:58other people's videos. There's so much

2:41:59out there. If you just find something to

2:42:01latch on to and you go, "Wow, that's

2:42:02interesting." You feel that pull like

2:42:03you want to go and have a have a play

2:42:04around or learn more about it. That is

2:42:06your niche and that's what you should

2:42:07stick to. So, I want to just wrap this

2:42:09up now. It's probably been a bit longer

2:42:10than I planned, but I got a little bit

2:42:11of extra explanations in there to share

2:42:13with you guys. But the resource that I

2:42:15want to give away is actually directly

2:42:17from the accelerator, as I said. So, my

2:42:18accelerator program, paid program, I

2:42:20have my free community as well. Soon as

2:42:21they come into my accelerator, they use

2:42:23this exact worksheet that I'm going to

2:42:24give you access to. And to get access to

2:42:26it, it'll be in the first link in the

2:42:27description. You go in and fill out a

2:42:28little form. Then it's going to be sent

2:42:29to you directly via email. Um, and

2:42:31that's how you can get this entire

2:42:32worksheet that I put my accelerator

2:42:33members through. So, again, sorry to

2:42:35bait and switch you with that title.

2:42:36But, I hope you got to the end of it and

2:42:37you realize that I'm actually trying to

2:42:38do this for your own good. Don't let

2:42:40someone like me or other people be like,

2:42:41"That's the right niche for you. You

2:42:43need to do this." Unless I sit down and

2:42:44have a chat with you, of course, and

2:42:45you're on my Q&A in the free community,

2:42:46but I don't know. Don't like try to be

2:42:48spoonfed either, oh, I heard there's a

2:42:50lot of money in real estate, so I'll

2:42:51guess we'll go into real estate. No, use

2:42:53your brain. Follow the exact process

2:42:54I've just given you. By far the most

2:42:56important thing you can do because you

2:42:57want to do work that feels like play to

2:42:58you or you have a ridiculous unfair

2:43:00advantage

The Tech Adoption Life Cycle

2:43:04in struggling to make money with AI,

2:43:06then this graph is probably going to

2:43:07tell you what's wrong with your strategy

2:43:10and uh I'm going to help you fix it and

2:43:11understand everything about this.

2:43:12There's multiple layers to this. Um, and

2:43:14I've also done an excellent drawing

2:43:16here. So, you can leave a like on the

2:43:17video purely for the drawing. Um, but

2:43:19there's a lot to this and I'm going to

2:43:20try to break it down for you so that you

2:43:21can actually be successful in the AI

2:43:23space because not understanding what

2:43:25this graph means is is the most one of

2:43:27the most common reasons that I'm seeing

2:43:28of people not succeeding cuz it's if you

2:43:30don't understand it, you apply the wrong

2:43:31strategies to acquire customers and it's

2:43:33really like the the foundational

2:43:35paradigm of of understanding this the

2:43:38the adoption of AI technology which is

2:43:39what we are writing as AI agency owners.

2:43:42This is called the technology adoption

2:43:46life cycle. Now what this graph uh

2:43:49outlines and really details let me get

2:43:51my other pens here. Um is the adoption

2:43:53of new technologies. Now we see this

2:43:55it's a pattern that they've recognized.

2:43:56I'm not sure who I attribute it to but

2:43:58uh this is used to describe basically

2:43:59the adoption of any technology. Um and

2:44:02we have multiple stages here and the

2:44:03multiple stages represent different

2:44:04portions of the population and the speed

2:44:06and and rate at which they adopt new

2:44:08technology. So uh firstly we have the

2:44:10innovators, we have the early adopters,

2:44:13we have the early majority, early match

2:44:16um and we have the late majority late

2:44:19match and we have the uh what are these

2:44:21guys? The laggers, right?

2:44:23Lag gods. So these are different

2:44:27sections of the population. These guys

2:44:29are a handy dandy

2:44:322.5%. These guys are a

2:44:3513.5%. I don't know who made these

2:44:37numbers up, but someone's smarter than

2:44:38me probably. Um, these guys are, I

2:44:41believe it's like

2:44:4334%. Um, these guys are another

2:44:4734%. And these guys are the remainder. I

2:44:49can't remember exactly what. No one

2:44:50cares about these guys really cuz we're

2:44:51not going to be selling to lagards. Um,

2:44:53so forgive me for not remember. You do

2:44:55the math. You can figure it out. Um, but

2:44:58so we have the innovators, the early

2:45:00adopters, the early majority, the late

2:45:01majority, and lagards. And in between

2:45:03these two we have what is known as the

2:45:06chasm. Now it was Jeffrey Moore has a

2:45:09book uh called crossing the chasm and

2:45:12this chasm describes um the the gap that

2:45:15forms between early adopters and the

2:45:17early majority that a lot of software

2:45:18companies uh struggle to bridge. So you

2:45:21might get a couple of early adopters to

2:45:22your technology and to your to your

2:45:24software, but you struggle to jump into

2:45:25this bigger pool of people and cross

2:45:27this chasm which has got a nice little

2:45:29skull here um over into the early

2:45:31majority so that you can then start to

2:45:32sell it to more people. So why am I

2:45:34telling you this? Well, we sell

2:45:38technology and AI is the technology that

2:45:40we are selling primarily, right? So if

2:45:43we understand how these different

2:45:45segments of the population uh need to be

2:45:47marketed to, how we can find them, what

2:45:50stage we're currently at, if you can

2:45:51understand this stuff fundamentally,

2:45:53then you can create a strategy on how

2:45:55you can create and and run your business

2:45:57that utilizes the the underlying effects

2:46:00of the market. So the market dynamics

2:46:01are absolutely key to understand or

2:46:03you're going to use the wrong the wrong

2:46:05paintbrush on the wrong canvas or

2:46:06something. some fancy analogy there that

2:46:08makes sense. But you're using the wrong

2:46:09tool uh the wrong tool for the job

2:46:12basically. So these each of these

2:46:14components well these these sectors have

2:46:16their own qualities to them. Uh now you

2:46:18need to understand these qualities. So

2:46:19let's go through them. The innovators

2:46:21are sort of more interested well they

2:46:23might have a lot of money. Often times

2:46:25they have some money and resources to

2:46:27throw at this thing cuz it's not going

2:46:28to make much money. It's not very useful

2:46:30but this technology is exciting to them

2:46:31and they're willing to be invested in

2:46:33it. Um, like I said, they're more like

2:46:35tech versus use case. They see the

2:46:37potential in the tech more than than

2:46:39anything else. They're not too worried

2:46:40about uh the rest of the stuff. Um, so

2:46:42the innovators, um, then you have the

2:46:44early adopters. The early adopters are

2:46:47people who are kind of the the

2:46:49visionaries and these are people who

2:46:50look at this technology that these guys

2:46:52have been tinkering around with and they

2:46:53go, "Wow, I understand how that can be

2:46:55used. I'm going to try and create the

2:46:57first sort of implementations of that

2:46:58and stretch this from a little sciency

2:47:00like these are often academics

2:47:03academics. Oops. These are academics and

2:47:06they're sort of experimenting around

2:47:07with things and then people bring it

2:47:09into uh these visionaries and the early

2:47:11adopters will take it and sort of apply

2:47:13it to some real world use cases and

2:47:15start to stretch the capabilities so

2:47:16that it can really come into its own. Um

2:47:19these guys are not too much worried

2:47:21about the see they're more just excited,

2:47:24right?

2:47:26and they are looking at this technology

2:47:28as a new thing that they can take and

2:47:29take to the world. Then we have the

2:47:30early majority. These are people who are

2:47:33a little bit more

2:47:35pragmatic

2:47:36matic. U they rely on more

2:47:42proof

2:47:45evidence and can best really be

2:47:47described as

2:47:49weight and

2:47:52see. Um so these guys uh the early

2:47:55majority the reason technology companies

2:47:58and and technologies as a whole kind of

2:48:00failed to bridge this gap and cross the

2:48:01chasm is because this early majority and

2:48:04everything beyond they want proof they

2:48:06want evidence. They want to wait to be

2:48:08sure about something new before they

2:48:09take a risk on it. So they're lot more

2:48:11riskaverse. These guys are sort of risk

2:48:14takers and again they're they're more

2:48:15focused the early majority are more

2:48:17focused on the potential of it rather

2:48:18than the the current sort of efficiency

2:48:21and and output of it. Right? The early

2:48:23majority pragmatic, need more proof.

2:48:25They wait and see. Late majority, it's a

2:48:26little bit more. They're sort of a

2:48:28little bit more. That's these guys are

2:48:29conservative. These guys are skeptical.

2:48:31Now, I'm not going to go into all this

2:48:32cuz we're not really dealing with with

2:48:34those guys. Um, but what I'm trying to

2:48:36teach you and explain to you something

2:48:38that's made me successful in the space.

2:48:40I've I've made now over a million

2:48:43dollars selling this AI stuff. Um, and

2:48:45since I started my AI journey. So, I

2:48:46feel like I'm kind of qualified and

2:48:48without understanding this, I wouldn't

2:48:49have made nearly nearly as much as what

2:48:50I have. So, I'm trying to communicate

2:48:52this to you all because I'm I'm it

2:48:54really hurts me hurts me seeing so many

2:48:56of you trying to I'm waving these things

2:48:57around. It hurts me to see so many of

2:48:59you trying to succeed and I know how

2:49:00hard you're working on your agencies and

2:49:02trying to build them and sell solutions,

2:49:03but you're using the wrong tool for the

2:49:05job and it comes down to understanding

2:49:07this. So, stick with me cuz we got a lot

2:49:10more to cover. All right, so the early

2:49:12adopters and the early majority is

2:49:13really the focus where AI is right now

2:49:15is we are in this early adopters phase

2:49:17and we're kind of crossing the chasm

2:49:19into the early majority. Now, who is our

2:49:21market, it's business owners. So, we

2:49:23need to think of this as not the

2:49:24consumer market, not not people in their

2:49:27their their nan going on and using ch.

2:49:29That's not what we're talking about.

2:49:30We're talking about the adoption of AI

2:49:32technology within businesses, which is a

2:49:34it's a different curve. They all have

2:49:35their own places and and ages and

2:49:36stages, but this is part specifically

2:49:40for businesses. Now, how can we take

2:49:44what we've understood from this in the

2:49:45different stages of people? But these

2:49:46are visionaries, they're excited,

2:49:47they're risktakers. Um they they want to

2:49:50try the technology and they want to

2:49:51apply it to to use cases. And then we

2:49:53have the gap and the chasm that goes to

2:49:55these people here who are a much larger

2:49:57section, the 34 over over double nearly

2:49:59three times as much. Um so we really

2:50:01want to be tapping into these at some

2:50:03point. But for those of you who are

2:50:06starting your AI agencies, you may be

2:50:08looking at this and seeing an issue,

2:50:09right? So if I'm trying to sell to early

2:50:12majority who are wait and see, they're

2:50:15evidence-based. They want more proof.

2:50:17They're pragmatic. How in the hell am I

2:50:19going to sell my AI solutions if I've

2:50:22never sold one before? I don't have any

2:50:23proof. I don't have any evidence. The

2:50:25use case I'm trying to sell them is not

2:50:27something that I have evidence to prove

2:50:28that works. So maybe selling these AI

2:50:30callers and the AI AI calling systems.

2:50:33Sure, early adopters look at that like

2:50:34me and you look at that and go, "Wow,

2:50:36that's cool. I see the

2:50:38potential

2:50:41potential." We are visionaries. We see

2:50:43the potential of the technology. But

2:50:44when you're trying to sell to people who

2:50:46need proof, you're talking they're deaf.

2:50:50It's falling on deaf ears. So, how can

2:50:52we tailor our strategy as AI agency

2:50:54owners when we're getting started to use

2:50:57this to our advantage and plan our

2:50:59strategy according to the different

2:51:00pools of people in the market. So, I'm

2:51:03glad you asked. What you want to do when

2:51:05you're starting agency is not go for

2:51:07these people because you don't have the

2:51:08proof. You need to find early adopters.

2:51:12And in order to find early adopters, uh,

2:51:14but they're a small segment and I guess

2:51:16innovator is kind of included in this as

2:51:17well, right? So they're sort of a a

2:51:18group that you can sell to collectively,

2:51:20but in order to find them, these are

2:51:23already a small segment of the

2:51:24population. This is what um 14

2:51:2816%. And meaning you have all of these

2:51:31people that you cannot even attempt to

2:51:34sell to without any proof or without any

2:51:36evidence as to as to the the the results

2:51:38that your systems can get. So, keeping

2:51:40this in mind, how should we be trying to

2:51:42sell our solutions? By cold email, by

2:51:46reaching out to people via Instagram, by

2:51:48LinkedIn, cold DMs. Well, I hope I've

2:51:51got enough room on the screen here, but

2:51:53let's just say we have

2:51:54a a box of 100 people, but but this is

2:52:0010 by 10, right? 10 by 10. And then I'm

2:52:03sending my cold emails and I have a list

2:52:06of thousands and thousands of people. In

2:52:07this case, let's just use 100. And I'm

2:52:10sending out these emails. And um let's

2:52:12let's fill this out. 5 6 7 8 9 10.

2:52:18Um 2 3 4

2:52:225. Um yeah. There. So this is imagine

2:52:26this is filled out. I'm not going to

2:52:27draw it obviously cuz there's there's

2:52:28quite a lot. But there's a lot more X's

2:52:30going on here. There's 10 different rows

2:52:31of them. Now I've used the wrong colors,

2:52:33but you get what I mean. If I'm sending

2:52:35cold email and I have a list of 100

2:52:37people and 100 business owners that I'm

2:52:39trying to contact and I send out the

2:52:41cold emails, there's only 16 people on

2:52:46that list who are even moderate like

2:52:48even open to buying and and use adopting

2:52:51this technology. And that's that's

2:52:52pretty optimistic. There might be none.

2:52:54I mean, this is if you get if you get a

2:52:56perfect slice and segment of the

2:52:58population, you'll get this 16 people

2:53:00out of 100. You might get more, you

2:53:02might get less. Depends how you build

2:53:03your list. But if you're cold emailing,

2:53:05it's likely going to be this or less. So

2:53:08that means that you at a at a what a 80

2:53:1184% handicap. Where's my red? I need to

2:53:14use red on

2:53:16this.

2:53:1884%

2:53:22handicap. So you when you're sending out

2:53:25the cold email, what's might be

2:53:26effective in other niches, not other

2:53:28industries, we are at a massive handicap

2:53:30here when you're trying to send this

2:53:31stuff. Um, so keeping this in mind, the

2:53:36the real question should be, okay, if

2:53:37I'm trying if I don't have any proof and

2:53:39I'm just starting my agency and I have

2:53:41to be selling to this this early these

2:53:43early adopters and innovators, how can I

2:53:46get my message in front of as many of

2:53:47them as possible? All right, have a

2:53:51think. Is it going to be I mean with

2:53:55volume, if you send out huge amounts of

2:53:57volume, you can negate this. You can if

2:54:00you're only getting I don't know two

2:54:02people who are interested and then

2:54:03you're getting but then you even break

2:54:05this down even more. Say say you've got

2:54:07this amount of people are interested and

2:54:08you're getting only like a 5% 5% uh

2:54:13positive reply

2:54:14rate. There's still very small numbers

2:54:17coming out of this cuz 5% of 16 what's

2:54:20that one point? It's like it's like one,

2:54:22right? So there's not there's not much

2:54:24going on there. And if you have these

2:54:28kind of numbers, it's it's just like I'm

2:54:30working against you really, which is

2:54:31what I'm trying I'm stumbling over words

2:54:32a bit here, but I get I get anxious when

2:54:34I have to do math on camera, by the way.

2:54:36I'm not sure if you do too, but um 5% of

2:54:3816

2:54:401.6. So like.5% or something like that.

2:54:43Maybe we fact check it on the screen,

2:54:44but I'm not good at mental math on

2:54:47camera.

2:54:55[Music]

2:54:59Anyway, yes. So, I could have gone a

2:55:01little bit deeper here just to explain

2:55:02this, so I thought I'd do it in the

2:55:03editing process. Now, um, if we were to

2:55:05get a 5% positive reply rate and we had

2:55:07a total of 100 people, cuz the whole box

2:55:09was filled with black X's and everyone

2:55:11was a potential customer, we'd be

2:55:13getting five replies out of 100, right?

2:55:15Um, what I was saying here is if we've

2:55:16only got 16 out of 100 cuz we're on the

2:55:1884% handicap, then only it ends up being

2:55:210.8 um, of a person. So that means

2:55:23there's one out of 16 is actually going

2:55:25to be a positive reply rate. Meaning

2:55:27instead of getting five replies for

2:55:28sending 100 emails, you'll be getting

2:55:30one out of 100, which means then you add

2:55:32that to the booking rate and the close

2:55:34rate and you're basically getting no

2:55:35clients, right? So yeah, thought I'd

2:55:37just add that in there. Hope that's been

2:55:38helpful. So going back to what I was

2:55:40saying how if this is the handicap we

2:55:42have when we're doing outbound

2:55:43communications the only other option is

2:55:46well might be others but the only other

2:55:48main option here is to try to get these

2:55:51people via inbound lead generation

2:55:54methods which essentially is instead of

2:55:56me trying to reach out to the whole damn

2:55:58world and and fighting against this

2:56:00handicap of 84% or more I'm going to

2:56:03instead try to attract these people to

2:56:06my

2:56:07business and how are you going to

2:56:09attract them? Well, you can make content

2:56:12that appeals to those early adopters.

2:56:15So, in this case, running out of room

2:56:19here. So, we have inbound

2:56:23inbound legion. So, trying to attract

2:56:26the early adopters to your business is

2:56:28probably going to be and from the from

2:56:30what I mean I'm an example of it.

2:56:33Morningside AI and everything that I

2:56:35have achieved and everything that I've

2:56:36achieved the the small wins that I've

2:56:39achieved relative to other people in

2:56:40this in the in the world but within the

2:56:42AI space I haven't done too damn bad. My

2:56:45success has come from attracting early

2:56:47adopters and innovators to my business

2:56:49Morning Side via in lead

2:56:52generation. So I'm just sharing what has

2:56:55worked for me and what I'm starting to

2:56:56see. The reason I'm making this video is

2:56:57because I'm starting to see an emerging

2:56:58pattern within my community of more and

2:57:00more and more and more people using the

2:57:02exact same strategy that I'm about to

2:57:04tell you to generate those leads and get

2:57:06themselves out of just serving early

2:57:08adopters, getting them the testimonials

2:57:10and case studies they need so they can

2:57:12start to tackle this early majority.

2:57:14Inbound lead

2:57:17generation, LinkedIn, Twitter, I still

2:57:19call it Twitter X, whatever you want to

2:57:21call it. YouTube, hell, maybe even you

2:57:24start a Pinterest. Don't sign up on

2:57:26Pinterest. I was just joking. LinkedIn,

2:57:28Twitter, and uh and YouTube are kind of

2:57:31the uh the go. You could do blog

2:57:32posting, SEO, whatever you I just stick

2:57:35with these ones. But the thing is, you

2:57:37got to pick one and do it well. I, for

2:57:40example, picked

2:57:42YouTube and I think I did it moderately

2:57:45well. Um you guys can be the judge of

2:57:46that. I guess it's the like and dislike

2:57:48ratio on this video will determine if

2:57:49I've done it well or not. But when it

2:57:51comes to money made from all of my

2:57:53businesses, I'd say I've done pretty

2:57:55well on YouTube. And you can do the

2:57:57same. But you got to pick one. And by

2:58:00picking one, we get so many like I have

2:58:03never had to run any kind of advertising

2:58:04for Morningside. I've never had to run

2:58:07any kind of outbound communications. No

2:58:08LinkedIn outbound, no Instagram

2:58:10outbound, no nothing. No cold email, no

2:58:12nothing at Morningside. It all comes

2:58:13from my channel. And my channel is more

2:58:15so focused on helping you guys now to

2:58:17start your own agencies and sharing what

2:58:19we learn at Morningside. So, my content

2:58:20isn't even focused on selling to

2:58:22businesses. Like, it's I'm not even

2:58:23trying to attract businesses to my

2:58:25audience, but people are still seeing my

2:58:27videos who are business owners and

2:58:28coming to me to build their solutions.

2:58:30Inbound lead generation pretty good if

2:58:32you do it right. So, what I'm seeing is

2:58:34a lot of success on LinkedIn at the

2:58:36moment. Uh LinkedIn is really hidden for

2:58:38a lot of people in the community,

2:58:40particularly in my accelerator. I've had

2:58:41some great uh success stories of people

2:58:43who we've just been on interview and

2:58:44interview interview of people within my

2:58:46accelerator and they all are using the

2:58:48same LinkedIn strategy um which is to

2:58:50generate inbound leads and okay so how

2:58:53can you generate the inbound leads if

2:58:55you were to take LinkedIn well what they

2:58:57are all doing and I mean what I've done

2:58:58as well on on YouTube it's not rocket

2:59:00science but you need to somehow get

2:59:03people on your LinkedIn so you need to

2:59:05gain connections you can just be

2:59:06spamming out connections within your

2:59:07given niche just pick a niche start

2:59:10trying to connect with different people.

2:59:11You will get a high acceptance rate of

2:59:13connections. People just like, well,

2:59:14yeah, sure, you can connect with me.

2:59:16There's there's going to be enough

2:59:17people that you can just start to

2:59:18connect and build a bit of a base. And

2:59:20then you want to be creating I should do

2:59:22it over here, right? So, you go build a

2:59:26base or you might already have it

2:59:28already. A lot of the guys who are

2:59:29succeeding quickly have already been

2:59:31working in another job or another

2:59:32industry and they're just starting to

2:59:34convert their LinkedIn from their old

2:59:35career or their old persona into this

2:59:38new I'm an AI expert and I help build AI

2:59:40solutions for this this doesn't even

2:59:41need to be niched niche down. You can

2:59:43stay general I build AI stuff and find

2:59:45your niche later but getting a little

2:59:48bit and then you need to post cool

2:59:52valuable stuff and this way people will

2:59:55see that you know your stuff will know

2:59:57your uh is probably how I would

2:59:59have said it if I wasn't uh wasn't

3:00:01limiting my vocabulary on here, but you

3:00:03need to prove that you actually know

3:00:04what you're talking about. And in this

3:00:06way, by posting stuff regularly and

3:00:08sharing what you're doing as I have on

3:00:09my channel, look at my past videos. You

3:00:11can see from the start the entire

3:00:13character arc of my channel. The reason

3:00:16I was able to do so well with Morning

3:00:17Side and and we continue to do so is

3:00:19because I built a base of proving that I

3:00:20knew my stuff. I was there giving coding

3:00:23tutorials of stuff that I had personally

3:00:25created and sharing it on my channel and

3:00:29then I hired developers who are even

3:00:31better than me and now I get them on my

3:00:33second channel on my morning eye

3:00:34channel. I bring my CTO Spencer. I

3:00:36brought him on the channel the other

3:00:37day. You need to be proving that either

3:00:39you have a competency or your team has a

3:00:41competency. Um anyway, I I'll leave that

3:00:45there cuz I don't want to don't want to

3:00:47get a little bit a little bit too

3:00:48sidetracked on that. That's probably

3:00:49talk for another video, but there's the

3:00:51cliff notes of it. Um, the more

3:00:54important thing that I want to talk

3:00:55about now is that there really is a a

3:00:58race that is on. Um, the race is on for

3:01:02this early majority. And this is what

3:01:05we've been we've kind of known it as

3:01:07we've been early to this this space and

3:01:09this AI agency opportunity that we've

3:01:10we've all hopped

3:01:12on. But we're still in this this period

3:01:15of the AI space right now. We're we're

3:01:16in the the early stages, but we are

3:01:20quickly moving into this early majority

3:01:22and crossing the chasm where there's now

3:01:24unlocking more and more people and in

3:01:26our case, more businesses who are

3:01:28willing to buy our solutions. But

3:01:30they're only willing to buy it if they

3:01:31have the proof, the evidence. They want

3:01:33to wait and see that the stuff really

3:01:35does what we say it does before they

3:01:37take they they take the red pull or the

3:01:39blue pull or whatever matrix analogy you

3:01:41want to use there. uh before they take

3:01:42the dive into using AI within their

3:01:44business, they want to see the proof.

3:01:46Now, for us, if you don't ever get past

3:01:49this early adopters phase and you don't

3:01:50follow one of these strategies to get

3:01:52your first couple of clients and get

3:01:53some evidence and get some proof, then

3:01:56you'll never be able to come and compete

3:01:58with myself and the other big dogs in

3:02:00the in the space. I just call myself a

3:02:02big dog. That's so cringe. But, um the

3:02:04other people who are actually doing

3:02:05numbers and selling these solutions

3:02:06successfully,

3:02:08uh we're in here. Well, we can access

3:02:11here. Like, there's still a lot of money

3:02:12to be made with these early adopters and

3:02:14they're far easier to work with because

3:02:15they're not really worried about they're

3:02:17less pragmatic. They're not too worried

3:02:18about the they're just excited. They're

3:02:20not too worried about the effects while

3:02:21they do want to see a bit of value. If

3:02:23you're selling to these guys, you may

3:02:24notice that you build stuff that isn't

3:02:26super valuable and they're still happy

3:02:27with it cuz it's like, "Wow, that's

3:02:29cool. My business has AI." Now, these

3:02:31guys can be lovely to work with. When we

3:02:33get into here, they need a lot more

3:02:34evidence-based proof, etc.

3:02:38But as this market

3:02:39progresses, you're going to need to get

3:02:41into this point if you want to survive

3:02:42and if you want to really make the big

3:02:43bucks. So this is the current

3:02:46competition within there's not much

3:02:47competition within the AI agency space

3:02:49cuz there's not many of us. There's very

3:02:51very few of us who are actually on this

3:02:52opportunity and trying to make money off

3:02:53of it. And and the many few of us who

3:02:55understand this and are doing it well

3:02:58and and positioning their strategy in

3:02:59order to get this part done so that they

3:03:02can move into this early majority. So

3:03:03there's not going to be many people

3:03:04after this video maybe a bit more.

3:03:05there's not going to be many people who

3:03:07are in here competing for the big bucks

3:03:09really. So that's my challenge to you

3:03:10all is that you need to use a strategy

3:03:14that factors in this dynamic within the

3:03:17market that very few people 16% or

3:03:20thereabouts are actually interested in

3:03:22implementing the stuff at the moment if

3:03:24you don't have any evidence or proof.

3:03:27And the thing is if you're trying to get

3:03:29your offer or get your business and your

3:03:30services in front of people, you don't

3:03:32want to get it in front of these guys.

3:03:34Listen, you're wasting your time. Get it

3:03:36in front of these people. And the most

3:03:38effective way to do that is to attract

3:03:39them to you instead of bashing on their

3:03:41door and saying, "Do you want to buy

3:03:42some AI stuff yet?" Just attract them to

3:03:46yourself and let them self- select. If

3:03:49you are connecting with people on

3:03:51LinkedIn and they see you're an AI guy,

3:03:52I do AI for dental. I do AI for

3:03:55financial services. Whatever it is, if

3:03:58they see that and are interested,

3:03:59they'll self- select and say, "Cool,

3:04:01I'll connect with this guy. He AI for

3:04:03financial services sounds interesting.

3:04:05I'm going to connect and add it. And

3:04:06then you build your base on LinkedIn and

3:04:08you start building cool stuff. And while

3:04:09you're burn building cool stuff, you're

3:04:11also learning. So you're you're making

3:04:13leaps and bounds in this thing. Every

3:04:15time you learn something and post it,

3:04:16you're not only learning, but you're

3:04:17also getting the marketing material to

3:04:19continue to show your your expertise and

3:04:21and build trust with your audience as

3:04:23well. So yeah, I just thought I'd throw

3:04:25down the gauntlet there and let you guys

3:04:27know that this is the challenge within

3:04:30AI agency space right now.

3:04:32We are all brothers and sisters in this

3:04:34space which okay let's there's plenty

3:04:37plenty to eat for everyone. Let's deal

3:04:39with this. Let's all start creating

3:04:41content. Let's make a personal brand.

3:04:43Let's get out there and start engaging

3:04:44with people and building connections so

3:04:46that you can start to make money and get

3:04:48your start in this because I'm telling

3:04:50you if you dillydattle around dillyd is

3:04:53that a word? Anyway, you get what I

3:04:55mean. If you mess around in this stage

3:04:57where we are here and we're very quickly

3:04:58jumping over to this as I'll talk about

3:04:59a little bit later. But if you are

3:05:01messing around, then you're not going to

3:05:04when the when everyone else mobs onto

3:05:06this this opportunity and they're coming

3:05:07very soon. I'd say in the next next

3:05:09year, I mean, we're already starting to

3:05:10see other people selling these courses

3:05:12and and things like this and trying to

3:05:14trying to say that they know what

3:05:15they're talking about in this. And

3:05:16honestly, I've seen so many ads now,

3:05:18it's kind of getting embarrassing what

3:05:19these guys are trying to sell. So I

3:05:21would say that not to not to big up what

3:05:23I'm doing and my team and there's only a

3:05:25few people in the space who are who are

3:05:27actually doing this thing and I I I tell

3:05:28you like I am I am one of them and

3:05:30there's a couple of other people who I

3:05:31recommend on my channel and things like

3:05:33this. So they are coming and it's

3:05:35evident by the amount of other people

3:05:36who are popping up and selling selling

3:05:38how to do this thing. So that's the

3:05:39that's the challenge. But if you delete

3:05:41the other realm, other people are going

3:05:43to jump in here and but you're going to

3:05:44spend all this time trying to get get

3:05:47yourself off the ground and then by the

3:05:48time you you get there, there's going to

3:05:51be way way better way better agencies

3:05:53who have just jumped in here and are

3:05:54attacking this issue by because they

3:05:56tried to solve these problems so that

3:05:57they can attack this new market. So now

3:06:00I don't want to rub this off cuz it does

3:06:02look nice and pretty. Um, but I do want

3:06:05to layer over something else here that's

3:06:08also important

3:06:09considering on this fine Saturday, we

3:06:12just had a uh a pretty big update from

3:06:14OpenAI, which I think uh highlights

3:06:17another uh another factor that gets

3:06:20incorporated into this this whole

3:06:22picture. So, um we just had um I'm going

3:06:25to rub this off. We just had the

3:06:28assistance

3:06:30API v2 release from OpenAI. And now this

3:06:34is a massive update. This is something

3:06:36myself and the team at Morningside um

3:06:38and and Agentive my my SAS platform we

3:06:41have been waiting for this. This was

3:06:42really a bet that we made um 6 months

3:06:46ago now to say look the assistance API

3:06:49is a ridiculously powerful platform. It

3:06:51has custom knowledge agents. You can

3:06:53connect tools. has does everything for

3:06:55you. The chat history management, thread

3:06:57management, tool calling, very powerful

3:06:59package. But when it came out, it wasn't

3:07:01in a great state. Like it was very

3:07:03ludicrously expensive, very slow,

3:07:06knowledge base was very spotty. And so

3:07:08when we built a Gentive on top of it, we

3:07:09had to deal with customers who were very

3:07:11well users who were very unhappy with uh

3:07:14the quality of of the the assistance API

3:07:16that we were built on. But by

3:07:17association, they think that our

3:07:19knowledge base wasn't working. But in

3:07:21reality, it was the assistance API

3:07:22knowledge base that was not working. So

3:07:24anyway, enough of me coping.

3:07:27Um, what I was trying to say here is

3:07:29that we have just

3:07:32had assistance API

3:07:35v2. Stick with me. This is going to sort

3:07:37of light the fire under your

3:07:38bum. Now what also happens in

3:07:42these is say using the web as an

3:07:45example. This is like early 90s,

3:07:511990s,

3:07:53early

3:07:55academics. So they you can plot out the

3:07:58entire web adoption on this. You got the

3:08:00academics early on who were like, "Wow,

3:08:02this internet's really cool. It really

3:08:04didn't work and it was terrible." Um,

3:08:05but they believed in it and saw the saw

3:08:07the saw the potential. Then you had

3:08:09people who came in in the sort of mid

3:08:10'90s, I'd say. And then they were able

3:08:12to build companies on top of it. you got

3:08:14the first couple kind of dot companies

3:08:17and people were starting to be

3:08:18visionaries visionaries and they were

3:08:20taking the the technology and pushing it

3:08:22to new limits and and finding real use

3:08:24cases for it and these this is is where

3:08:26we are right now with AI all of you

3:08:28watching this are seeing the same thing

3:08:29these voice agents chat agents u these

3:08:31automations and systems like these and

3:08:33you're like wow there's so many use

3:08:34cases for this uh but in order to get to

3:08:38the early majority when it came to the

3:08:40web it needed faster like the

3:08:44infrastructure and the technology itself

3:08:45had to actually improve as well. So it

3:08:47wasn't just ah yeah like people had to

3:08:49kind of push it down here just by doing

3:08:51this businessy stuff with it. No, the

3:08:53technology that was underpinning it had

3:08:55to improve and the infrastructure that

3:08:56allowed people to use it had to improve.

3:08:58And what we are seeing why I'm saying

3:08:59this is what we're seeing right now is

3:09:02the assistance API update is

3:09:04representative of this very move which

3:09:07is my

3:09:09my brain FM has started playing. Stop.

3:09:13got a ghost on the keys. In order for

3:09:15the web to progress into the early

3:09:17majority, early match, they had to have

3:09:22improvements in the infrastructure. So

3:09:24the the web was faster, the pages loaded

3:09:27better, it looked prettier. Things that

3:09:28took it from this this early on like

3:09:31scientificy really nerdy academic thing.

3:09:33It had to get to the point where these

3:09:35early majority people were willing to

3:09:36adopt it cuz it made sense. It was

3:09:38practical. These people, these

3:09:40visionaries in the early '90s and DA

3:09:43innovators, they're not too concerned

3:09:45about the practicality of these things.

3:09:47They're more excited by it. But in order

3:09:50to get to the early majority, we need

3:09:51the infrastructure and the systems to

3:09:53make this thing make sense. I will wait

3:09:56and see until it makes sense. And what

3:09:59we have just been given a few days ago

3:10:01is the update that makes it make sense.

3:10:07I will probably put a video out on this

3:10:08in a bit. But the assistance API V2 is,

3:10:12let me get red so you really get the

3:10:13message. Faster, more reliable. It is

3:10:17also cheaper. So all of these things, if

3:10:20you were selling these solutions via

3:10:22Aentive or whatever you were selling,

3:10:23you'll understand that it was

3:10:26slow. It was very slow. It was also

3:10:29extremely expensive in the V1.

3:10:33And that's supposed to say reliable, not

3:10:35relatable. But um it was not reliable.

3:10:37The knowledge base kept kept going on

3:10:39Smokco as I like to say and kind of

3:10:41deciding that it wasn't working for that

3:10:44afternoon. This is very

3:10:46much early adopter behavior. So like I'm

3:10:50okay with it being like this cuz I it's

3:10:52still cool and I like it and I'm in this

3:10:54bucket and I thought it was cool and I'm

3:10:56sure you are too if you played around

3:10:57with these GPTs and AI agents. But the

3:10:59assistance API v2 is a sort of coming of

3:11:02age of this AI agent opportunity and

3:11:05technology where it's going to start to

3:11:07make sense for a lot more of the early

3:11:09majority because it's faster it's

3:11:11cheaper it's more reliable and they have

3:11:14waited and waited and seen waited and

3:11:17saw you get what I mean they have waited

3:11:19around for the time for this kind of

3:11:21technology to get to the point now when

3:11:22we come to them and say hey look I can

3:11:23build you an AI agent that does this or

3:11:25this this and this okay well well how

3:11:27much is it going to cost me oh it's only

3:11:28going cost you this, this, and this. We

3:11:30have techniques. We can fine-tune the

3:11:31assistance API. We can actually do a

3:11:33fine tuning. So, when we're testing it

3:11:34initially, setting it up using GPT4. You

3:11:37probably don't want to get that

3:11:37technical when you're talking to

3:11:38clients, but you can say, "Hey, look, we

3:11:40can start it off, run some tests, get

3:11:42all the get all the data back, and then

3:11:43we can do a a sort of fine tuning of the

3:11:46system down to your specific use case.

3:11:48It's going to be cheaper, faster, um,

3:11:50and it's going to be much more suitable

3:11:51for your use case." So, thought I'd lay

3:11:54that in there. There's also, how do I

3:11:56how do I lay this in? Like I'm pretty

3:11:57proud of that drawing. So I apologize

3:12:00for not rubbing it off and and giving

3:12:01you some new stuff, but I kind of want

3:12:03to leave it up there for as long as

3:12:04possible. You can overlay the

3:12:07curves. Let's say that this

3:12:11one is the technology itself. So let's

3:12:14say this is the

3:12:15tech. By tech, I mean the assistance API

3:12:18for the web. It would mean like

3:12:19broadband and and faster connections and

3:12:22and better better browsers and things

3:12:24like this. uh tech and then laid over

3:12:28that you might have the actual

3:12:32adoption. So you might have the adoption

3:12:34which is like

3:12:39oh and this is the

3:12:42actual

3:12:44adoption. So it lags behind the tech.

3:12:48We've just had new tech and we continue

3:12:52to see new tech, bland conversational

3:12:57pathways. Check out bland conversational

3:13:00pathways. Check out this is the voice

3:13:02agent equivalent essentially of the

3:13:03assistance API. Wouldn't say equivalent,

3:13:05I'd say the level of of complexity and

3:13:07polish on things like bland

3:13:08conversational pathways as a solution

3:13:10type of AI voice agents. We're seeing

3:13:14this coming of age of the technology

3:13:15beyond just what we're used to. I mean,

3:13:17when I started doing this stuff and you

3:13:20go back and look at some of my videos

3:13:21when I was in my other apartment in

3:13:23Dubai and I was making these tutorials

3:13:26for people, I was having to create

3:13:28custom mod chatbts with custom code and

3:13:31all these difficult things and it would

3:13:33barely even work. Often times it

3:13:34wouldn't work. We struggled to deliver a

3:13:36custom mod chatbot for months at

3:13:38morning. That was the level of the tech

3:13:40and now it's can take you probably 30

3:13:42minutes or 10 minutes to create. We are

3:13:44seeing leaps and bounds and the

3:13:46technology is maturing. But that means

3:13:49there's this actual adoption lagging

3:13:52behind which is going to quickly Oh. Oh,

3:13:55look. This is just the uh chef's kiss on

3:13:57this graph if I can do it right. Um,

3:13:59where's my black? This is taking me back

3:14:01to doing like economics in high school.

3:14:03Oh, we see a shift in the curve to the

3:14:07right. So this actual adoption curve is

3:14:10going to catch up to technology itself.

3:14:14And it is our job and this is where we

3:14:18make the

3:14:20mali. This is our

3:14:22opportunity. The mali is in this

3:14:26shift. All right. I can give you a

3:14:29second just to absorb

3:14:31that. We have new technology coming of

3:14:34age that it makes sense for the early

3:14:36majority.

3:14:38All you need to do is facilitate this

3:14:41shift which is the entire thing that

3:14:44this opportunity when I start first

3:14:46started talking about it was

3:14:47facilitating the adoption of new

3:14:48technology. Now we have the new

3:14:50technology the new new technology which

3:14:52is much better and makes sense for the

3:14:54early majority. So this is more so for

3:14:56urgency a big kick up the butt for you

3:15:00that this is we're we're moving. So, if

3:15:03you don't quickly get this under control

3:15:05and get some inbound leads and start to

3:15:07close these early majority of these

3:15:09these early adopters, you're going to

3:15:12have issues because we're going to be

3:15:14selling to these and and most of these

3:15:15guys are going to have their things

3:15:16built. A lot of the needs of these

3:15:18people are going to be snapped up or

3:15:20they're going to be even worse. They'll

3:15:21be psychologically conditioned to

3:15:23working with agencies who haven't worked

3:15:24well in the past. This is what you see

3:15:26in the SMMA markets and things like this

3:15:28where there's so many agencies trying to

3:15:29sell so many services that segments of

3:15:31the of the different niches and stuff

3:15:34can get fatigued because there's so many

3:15:35bad actors not technically they are bad

3:15:37actors but people who are selling

3:15:39solutions who don't know what they're

3:15:40doing and aren't able they just take the

3:15:42money deliver bad service and there's a

3:15:44skepticism towards new new solutions

3:15:45providers. So these guys are still they

3:15:48haven't been screwed over yet or it's

3:15:50highly likely they haven't. So you need

3:15:52to move

3:15:53fast. Start a personal brand. Start

3:15:56talking and sharing about what you're

3:15:58doing. Learn and document the process so

3:16:01that you can and have some kind of

3:16:02strategy. Right? So you may be thinking

3:16:04this doesn't make sense, but any of

3:16:06these posting regularly as long as you

3:16:08have some kind of growth strategy which

3:16:11any of you have, you all have fingers.

3:16:13You can all search up on the internet

3:16:15how to grow a LinkedIn, how to grow on

3:16:18Twitter. The information is there. You

3:16:21just needed the strategy. And I've given

3:16:23you the strategy. You use one of these.

3:16:26You learn on the job. You share what you

3:16:28learn. You hire these PE. You close

3:16:31these kind of

3:16:32clients. And that will set you up with

3:16:35the evidence in order to tackle this.

3:16:37Now, you can continue to serve these

3:16:38clients cuz they're usually a lot nicer

3:16:40cuz I don't require this pragmatic angle

3:16:43on it. But when the opportunity comes,

3:16:46when this pool starts to be tapped out

3:16:48and when there's bigger money to be made

3:16:50here, you are going to have the skills,

3:16:51resources, and testimonial and proof to

3:16:54start to do it. If you don't understand

3:16:55these different segments, then you're

3:16:57going to be doing using the wrong

3:16:58strategy at the wrong time. But when we

3:16:59do start to see this this pool open up,

3:17:04that's when you can do the cold email.

3:17:06You can still do the cold email. Now, as

3:17:08you give it a year or two, this opens up

3:17:10and now these 50% of the population who

3:17:12are like, "Hell yeah, like I'll get some

3:17:14AI in my business, then you can start to

3:17:17do those cold those outbound systems. Or

3:17:19better yet, you can start to even do it

3:17:21once you have the proof. You can just

3:17:24start setting them up because you need

3:17:25to you can't just write a cold email and

3:17:26say, "Hey, I can build your chat. What

3:17:28do you want it?" He's like, "What does

3:17:29it do for me? How much does it cost? Is

3:17:31there going to be any like what if it

3:17:32doesn't work? Are you going to waste my

3:17:34time?" there's pragmatic reasons that

3:17:35you need to answer and objections that

3:17:37you need to handle. So, if you can have

3:17:38the testimonials and case studies in

3:17:39your camera and the outbound um but it

3:17:41will take a lot more to get through to

3:17:42them and a lot more proof. But yeah,

3:17:43that's uh that was cool. I hope you guys

3:17:46enjoyed and I hope that was

3:17:50valuable. You guys really seem to like

23 Ways to Get Your First Client

3:17:52the video I put out recently on five

3:17:54different ways to start an AI agency in

3:17:552024. Um, and that was more on the

3:17:57technical expertise side and how you can

3:17:59get your foot in the door to actually

3:18:01learn the skills required to start one

3:18:02of these agencies and get the AI

3:18:03expertise part of your business. So, if

3:18:06you remember in that video, there's

3:18:07three problems or or three key hurdles

3:18:09that you need to get over when you're

3:18:10starting one of these businesses. The

3:18:12first one is some kind of technical

3:18:13expertise and actual understanding of

3:18:16how AI can help businesses. And that's

3:18:17familiarity with the tools. It's

3:18:19experience in in building solutions and

3:18:20playing around with them yourself. And

3:18:22then the second problem is the lead

3:18:24flow. How are you going to actually

3:18:25generate leads and get people to come

3:18:26and contact you about building things

3:18:28for them? And finally, the third problem

3:18:29is authority and credibility needed to

3:18:31actually close those deals to prove to

3:18:32these business owners that you are the

3:18:34person for the job and they can entrust

3:18:35you with their money to actually give

3:18:37them the results they require. So, what

3:18:38I'm going to do in this video is rip

3:18:39through these 23 methods very quickly.

3:18:41I'm not going to be giving you super

3:18:42in-depth information, just a highle

3:18:44overview of what the lead generation

3:18:45method is and who's used it in my

3:18:47community, etc., where I'm getting this

3:18:48information from. And then from there on

3:18:50my free school community, same deal as

3:18:52the last video. um it's going to be all

3:18:54the information on each of them. So say

3:18:55if we have 1 2 3 under each of those on

3:18:57the school community is going to be

3:18:59resources and free resources that I can

3:19:01point you to on YouTube elsewhere that

3:19:03you can then go and explore that lead

3:19:04generation method further. So keep that

3:19:06in mind as you're watching this. Each of

3:19:07these methods is going to have more

3:19:08information if you are interested in

3:19:10pursuing that further on the school

3:19:11community. Now, uh, jumping into things,

3:19:14let's get started. As a

3:19:15disclaimer, before you go into this, I

3:19:17don't want you sitting there and making

3:19:19a big list of 10 different ways or 10

3:19:21different examples or methods that I'm

3:19:23going to cover here and thinking you're

3:19:24going to do all of them. The worst thing

3:19:26you could do is to try to do too much at

3:19:28once. If you're just getting started, I

3:19:29like the Hazi analogy of taking some

3:19:31weight off the bar. When we are starting

3:19:33as entrepreneurs, we like to think we're

3:19:34really strong and put a lot of weight on

3:19:36the bar and think that we can do very

3:19:37complex things. So, I want to make it

3:19:38clear that all you need to do is pick

3:19:40one of these and do it well and you will

3:19:42get your agency off the ground.

3:19:43Personally, for me to grow Morningside

3:19:45AI, my agency into what it is now. We

3:19:47have only had to use one of them and

3:19:48that was YouTube. So, there's your

3:19:50disclaimer. There's the note. You don't

3:19:52need to do too much. Doing too much will

3:19:53actually be detrimental to your success.

3:19:56So, 23 methods client acquisition.

3:20:00Number one is Fiverr. So with Fiverr,

3:20:03you may have negative connotations

3:20:05towards it being a $5 cheap platform,

3:20:08but in fact, this is where a lot of

3:20:09people and a lot of business owners go

3:20:10and they don't know where to look. So

3:20:12they'll go into Fiverr, they'll go onto

3:20:13the next one, which is Upwork, and they

3:20:16try to find some professionals who are

3:20:17on there and offering services in the AI

3:20:19space. The Fiverr and Upwork methods do

3:20:20work extremely well if you're willing to

3:20:22put in the effort on the platform. If

3:20:23you just treat it as another throwaway

3:20:25part of your business, you're not giving

3:20:26it all of your attention, you're never

3:20:27going to reach the higher earnings on

3:20:30the platform and also the reviews and

3:20:31ratings that you need to get that

3:20:32authority and credibility to close the

3:20:34deals. Right? Remember the three

3:20:35problems, technical expertise, lead

3:20:36flow, and authority and credibility.

3:20:38These will give you the lead flow

3:20:40because you can position yourself on

3:20:41them as I I've built XYZ or I can do

3:20:44this for you. And then if you've got the

3:20:45reviews to back it up over time, you're

3:20:47going to have the authority and

3:20:47credibility that'll get those deals over

3:20:49the line. So Fiverr, um Mark, a member

3:20:52of our community, one of the top guys in

3:20:53my accelerator. If you haven't watched

3:20:54my interview with him from last year,

3:20:56that'll be up here. But Mark is

3:20:57absolutely crushing it. He is top rated

3:20:59on Fiverr. So he is like the number one

3:21:01AI guy on Fiverr right now. And he ranks

3:21:03at the top. Anytime you search anything

3:21:04AR related, Mark is right at the top

3:21:06there. And you can actually run ads to

3:21:07make sure that you get done with

3:21:08placements and stuff like this. So

3:21:09Fiverr and Upwork, um Mark, uh I will

3:21:14have resources and links to Mark's

3:21:15channels, etc. because he's got some

3:21:17videos on Fiverr. it'll all be on the

3:21:18school community. So these are the same

3:21:20deal. Upwork and Fiverr allow you to

3:21:21list yourself on a platform and be

3:21:22discovered by business owners. Thirdly,

3:21:24we have referrals. Now, these are not

3:21:26necessarily how to get your first client

3:21:28methods. These are just general client

3:21:30acquisition methods. So referrals after

3:21:31you've done a couple jobs on Fiverr and

3:21:33Upwork, you can then go ask the people

3:21:35that you've worked with for referrals

3:21:36for other people that have similar

3:21:38business and similar problems to them.

3:21:39So referrals something that a lot of the

3:21:41time businesses forget to do and you

3:21:43need to build it in as part of the

3:21:44system to your business. Okay, after XYZ

3:21:46number of days when they go and ask or

3:21:47on the on the offboarding or or like end

3:21:50of client call, we need to ask or

3:21:51request for this. If you do it every

3:21:53time you finish a client project

3:21:54successfully, you are going to get some

3:21:56clients from referrals, which is just

3:21:58free acquisition basically. And it's

3:21:59also coming through with a little bit

3:22:00more authority and credibility when you

3:22:02go to hop on those calls with those

3:22:03referrals that you've been connected

3:22:04with because that's come from someone

3:22:06that they know and saying, "Hey, these

3:22:07guys did a good job. They can help you

3:22:08with this problem as well." So, you get

3:22:10the authority and credibility and the

3:22:11lead flow from this. Number four, we

3:22:13have warm outreach or warm reachouts as

3:22:17uh Mozy will say. So warm outreach or

3:22:20warm reachouts is reaching out to people

3:22:22that you already know who are in your

3:22:23network. The Homozi strategy that he

3:22:25detailed in $100 million leads is the

3:22:27the gold standard here. I'm going to try

3:22:29to tell you a better method. Um I will

3:22:30leave a link to that particular podcast.

3:22:32You can get it for free. That'll be on

3:22:33the school community as resources for

3:22:35this as well. Basically, you can pull

3:22:36all the the contacts that you have in

3:22:38your phone, your email, all your

3:22:39followers, etc., And you can build a

3:22:40list of people that you have warm reach

3:22:42out capabilities to. And then you write

3:22:43a message to reach out to them, offer

3:22:45your services, or even ask them to refer

3:22:47you to people who can. This is actually

3:22:48by far the easiest way to get clients

3:22:50initially for anyone who's starting

3:22:52these businesses is to reach out to your

3:22:54existing network. And many people

3:22:55overlook this. And this is actually

3:22:56something we're seeing a lot of success

3:22:58with within my accelerator. And as soon

3:22:59as people join the program, we tell

3:23:00them, okay, get straight into warm

3:23:02outreach. And they're signing one, two,

3:23:03three clients within the first couple of

3:23:04weeks as well. So warm outreach if

3:23:06you're not doing it don't overlook it

3:23:08because it's a very easy way to get your

3:23:09foot in the door and get started. Next

3:23:10we have LinkedIn content and then

3:23:13similarly we have I'm going to keep the

3:23:14separate LinkedIn uh

3:23:18connect and DM. So LinkedIn content and

3:23:21DM LinkedIn is by far one of the most

3:23:23effective platforms for getting leads

3:23:25for your AI agency right now. People in

3:23:26my accelerator are crushing it with some

3:23:27of the stuff we put out there. Not to

3:23:29just keep talking about that but that's

3:23:30where I get most my information from.

3:23:32LinkedIn absolutely smashing it. If

3:23:33you're able to post a valuable content

3:23:35and then people are engaging with it,

3:23:36they're liking it, they're leaving a

3:23:38comment, etc., then you have the

3:23:40justification to then go and uh shoot

3:23:42them a DM and say, "Hey, look, saw that

3:23:44you engaged in my post. I was wondering

3:23:45if you have any other questions or I can

3:23:47help you out in any other way." And you

3:23:48start a conversation there and that can

3:23:49lead to hopping on a discovery call.

3:23:51This is a good way to attract if you I

3:23:54mean I talk about it every video by now

3:23:55but this technology adoption curve

3:23:57you're going to attract those early

3:23:59adopters who are easy clients to get

3:24:00signed initially and by posting content

3:24:02and letting them respond to it and say

3:24:04hey I'm interested then you able to find

3:24:06those early adopters who are willing to

3:24:07get AI built into their business right

3:24:08now whereas the majority of the market

3:24:10right now is not actually interested. So

3:24:13LinkedIn content post valuable things

3:24:15and DM people. Um and LinkedIn connect

3:24:17and DM is a little bit different. We set

3:24:18up an automation like on Dripify. Again,

3:24:21I'll leave resources for all of these so

3:24:22that you know how to set these campaigns

3:24:24up and set up these automations. But you

3:24:25can use automations on LinkedIn to

3:24:27automatically connect with people from a

3:24:28given uh industry or niche. You can

3:24:30filter by niche or industry and you're

3:24:34able to connect with them automatically,

3:24:35send them a little message, etc. And

3:24:37then you're able to shoot them a DM and

3:24:38a sequence of DMs and you can offer your

3:24:40services that way. So this is more of an

3:24:41automated way. This is a contentbased

3:24:44way. You can automate this to some

3:24:45degree if you have some fancy AI content

3:24:47creation tools, but I'd recommend just

3:24:49starting off manually writing it

3:24:50initially. So, of course, you can do

3:24:52both. And if you choose LinkedIn as as

3:24:54your platform, you can stack these two,

3:24:56and I would recommend that you do so you

3:24:58go all in on growing. So, you can use

3:24:59the connect and DM automation. And

3:25:00again, I'll I'll leave setup guides on

3:25:02the on the school post. Um, you can use

3:25:04this to add people to your audience, and

3:25:05then therefore more people are going to

3:25:07see your content. You're going to get

3:25:08more people out of here who've got a bit

3:25:09more trust, etc. So it is a is a

3:25:11virtuous cycle where you're going to see

3:25:13more and more results over time because

3:25:14you keep adding more people to your

3:25:16connection request. So to your

3:25:17connection sorry and one thing I'll

3:25:19mention here is you are using an

3:25:21automation um a friend of mine who is a

3:25:23LinkedIn sales expert that's is the

3:25:24whole thing he does he says if you are

3:25:26sending a connection request don't

3:25:28include a message with the connection

3:25:29request. If you send just a plain empty

3:25:32connection request people assume that

3:25:33you know them or it's just a friendly

3:25:35thing and they'll accept it at a much

3:25:36higher rate. I believe you said it's a

3:25:3820 to 30% increase in acceptance rate of

3:25:40the connection request if you don't

3:25:41include anything in the connection

3:25:43message because then they assume that

3:25:44you're trying to sell them something. So

3:25:45if you can leave it out and you're going

3:25:47to see more connections and more people

3:25:48added to your network. Now similarly we

3:25:51have uh seven Twitter content Twitter X

3:25:55whatever you want to say uh Twitter

3:25:58content and then Twitter cold. So

3:26:02similar to LinkedIn LinkedIn you can't

3:26:04cold DM people. you need to be connected

3:26:06with them or some people you can message

3:26:07if they choose to but in the majority of

3:26:09cases you can't cold DM people on

3:26:10Twitter it's much more likely that you

3:26:12are able to send a cold DM to someone so

3:26:14the cold DM strategy applies here and

3:26:16then posting content on Twitter and

3:26:17growing your following so more people

3:26:18see it giving out value etc building

3:26:20trust similar to the LinkedIn content

3:26:22strategy again it's just different

3:26:23platforms right so you can take this

3:26:25idea of posting content and doing

3:26:27outreach on basically any platform you

3:26:29want LinkedIn and Twitter are good ones

3:26:31but again you got to pick one and do it

3:26:32well if you try to do both you could try

3:26:34to crossro But there are nuances and and

3:26:37intricacies and details that you pick up

3:26:39on each of the platforms that are

3:26:40different. And so if you're trying to

3:26:41split yourself between learning LinkedIn

3:26:43and becoming a really deep expert in

3:26:45LinkedIn and then also doing Twitter as

3:26:47well, it's going to be harder to reach

3:26:49the the higher levels of success with

3:26:50the platform if you're spreading

3:26:51yourself too thin. So LinkedIn or

3:26:53Twitter, same deal. Then number

3:26:57nine is

3:27:00YouTube. And I think you watching this

3:27:02video is exhibit A of how YouTube works.

3:27:05I have built my entire AI career off of

3:27:08YouTube only. I haven't bothered doing

3:27:09anything else. Sure, do a bit posting on

3:27:11LinkedIn, a bit on Twitter now. Um, but

3:27:13my main thing has just been YouTube, but

3:27:14I just focus on getting really good at

3:27:15that and I've grown a massive following

3:27:17now on within the AI space and built

3:27:20three different businesses off the back

3:27:21of it. So, YouTube extremely effective.

3:27:24This is the gold standard of personal

3:27:25branding because people sit here and

3:27:26watch you for so long. you build up a

3:27:28lot of trust and again you need

3:27:30expertise, lead flow and credibility and

3:27:32authority. YouTube handles those

3:27:34secondary very very well. So if you're

3:27:35able to get on camera and talk and and

3:27:37sound like you're intelligent, like you

3:27:38know what you're talking about and

3:27:39you've got experience, then people are

3:27:41going to trust you a lot more and you're

3:27:42going to get a lot of highly engaged

3:27:44leads messaging you as long as you've

3:27:45set up a good funnel as well. But

3:27:46YouTube a little bit more difficult as

3:27:48you need to learn how to talk on camera

3:27:50and not be uh really boring. But if you

3:27:52can do it right, it can be a game

3:27:53changer for your business and completely

3:27:55transform your life as it has for me

3:27:56over the past 18 months. Um, but for

3:27:58YouTube, it's the same sort of deal with

3:27:59LinkedIn content and Twitter content.

3:28:01Give out value. Identify who the people

3:28:03you're going to be selling to and the

3:28:04people you want to engage with. Put

3:28:06their niche or or who they are in the

3:28:08title, in the thumbnail, etc. It's not

3:28:10really that hard, but I will leave some

3:28:12resources on the school as to how I got

3:28:14started on YouTube and they'll be pretty

3:28:16helpful for you to show. I mean, I got

3:28:17off on the right foot immediately and

3:28:19the resources that I used, I'll include

3:28:20on the school community as well. So

3:28:22getting into number 10 now. We are

3:28:24almost halfway there. Number 10 is

3:28:26medium articles. Now medium that's like

3:28:30low, medium, high. If you're not sure

3:28:32and you can't read my writing, medium is

3:28:33a platform that allows you to write

3:28:34blogs, write articles, and it also has a

3:28:37discoverability and kind of a an

3:28:39algorithm that helps your content get

3:28:40discovered by people who have never

3:28:42followed you before, seen you before. So

3:28:44in the same way that YouTube when you

3:28:46post a video, it tries to put it out

3:28:47there and find people who want to watch

3:28:49it. I think it's actually the other way

3:28:50around. It finds videos that people want

3:28:52to watch, not people that want to watch

3:28:54your videos. But long story short, there

3:28:55is discoverability on these platforms

3:28:57where if you post something good, it can

3:28:59reach a broader group of people who have

3:29:01never heard of you and never seen seen

3:29:02you before. Same thing on Medium, but it

3:29:04is textbased and you can write an

3:29:05article and give out some value talking

3:29:07about how you've done this for a

3:29:09business using AI or how you created

3:29:10this cool system that does this uh using

3:29:12AI again, but you don't have to put your

3:29:15face on it. You don't have to lug around

3:29:16all this camera equipment. You don't

3:29:18have to buy a whiteboard wherever you go

3:29:19like I do. Um it's a lot more

3:29:21lightweight than YouTube, but you can

3:29:23still get the same kind of result. Not

3:29:25not the same kind of results, but you

3:29:26can still get results. And if you choose

3:29:28again, these businesses, the reason

3:29:29we're creating these businesses is to

3:29:31build the life of our dreams. Use AI to

3:29:33create a life that we actually love

3:29:34living in. All the all the perks and

3:29:37benefits that we want and the lifestyle

3:29:39that we want. If you are someone who

3:29:41doesn't want to have to get on camera

3:29:42like this and lug these camera equipment

3:29:43around and buy whiteboards and stuff,

3:29:45this is a very good alternative to

3:29:47YouTube. You can just be sitting on a

3:29:48beach in Bali or wherever you want to go

3:29:50and just be typing away in your laptop.

3:29:51I'm a little bit envious of that. I like

3:29:53writing, but at the end of the day for

3:29:55me, YouTube is a bigger lever. I can put

3:29:56more effort into it. I get to connect

3:29:58with you all a much deeper level. But

3:30:00for some people, Medium is a good

3:30:01choice. And I've interviewed SJ, a

3:30:03member of my accelerator who's making um

3:30:05as a as a side hustle. And I I don't

3:30:07usually recommend using this this model

3:30:09as a side hustle. But he's been able to

3:30:11learnmake.com and start posting on

3:30:12Medium and now was making as much money

3:30:14from his AI automation agency as from

3:30:16his job. So he's able to supplement his

3:30:18income and basically double his income

3:30:20by just learningmake.com and then

3:30:22posting his learnings and his journey

3:30:24really sharing his journey on Medium,

3:30:25which is what I keep telling you guys to

3:30:26do. Learn something, document it, and

3:30:28then you're going to have two to three

3:30:29months of evidence of why you are the

3:30:30person you say you are, why you can help

3:30:32these businesses. And that helps with

3:30:33that authority component of landing

3:30:34these deals. So medium like text based

3:30:36version of YouTube if you want to watch

3:30:38that interview with SJ I had on the

3:30:39channel recently where he talks about

3:30:40how he's actually using medium and you

3:30:42can see links to all his all his details

3:30:44that'll be as one of the resources on

3:30:46the school community for the medium side

3:30:47of things. Okay, number 11 now is a bit

3:30:50of a different one. Um it is

3:30:53[Music]

3:30:54charities and nonprofit organizations.

3:30:58using charities and nonprofits to get

3:31:00your first couple of clients is actually

3:31:01a strategy that Mark put me on to and

3:31:02I'm going to do a whole video on this a

3:31:04little bit later, but basically uh if

3:31:06you're looking to get your foot in the

3:31:07door and build a bit of a couple

3:31:08testimonials, get some real hands-on

3:31:10experience and building AI solutions for

3:31:11businesses. So, instead of trying to

3:31:12reach out to a profit- driven small

3:31:14business owner who's a complete hard ass

3:31:16and is very like bottom line focused,

3:31:18you can reach out to these charities and

3:31:20nonprofits and offer them free services

3:31:22and say, "Hey, look, I would like to

3:31:23build you this website chatbook. Would

3:31:24you be interested? We're doing a thing

3:31:26at our agency where we want to give back

3:31:28to the community for businesses that

3:31:30necessarily wouldn't get access to AI

3:31:31solutions. Would you be interested? From

3:31:33the screenshots that Mark sent through

3:31:34of the email responses he was getting,

3:31:35which I'm going to again cover in a

3:31:37different video. Um, the response rate

3:31:38was great and he was straight in the

3:31:39door being able to build these solutions

3:31:41for charities and nonprofits. So, if

3:31:42you're looking for your first client,

3:31:43that can be a very effective foot in the

3:31:45door uh to get started. Next, we have a

3:31:47whole bunch of ad platforms that I'm

3:31:48going to separate out because there I

3:31:50don't want you guys to think you can do

3:31:51them all at once. We have uh Google ads

3:31:53as in

3:31:55search. Then we have YouTube ads. We

3:31:58have LinkedIn ads. Then we have meta

3:32:00ads. So Facebook, uh WhatsApp, uh

3:32:03Instagram,

3:32:04etc. And so all of these, you know, that

3:32:07Google is search by the way. So I'm

3:32:09going to rub that off. All of these can

3:32:11be learned individually and sent to some

3:32:14kind of offer, whether that's a

3:32:16free AI

3:32:19audit, whether that's some kind of

3:32:22lead

3:32:24magnet where you give them an ebook,

3:32:26etc. But each of these platforms offers

3:32:28a very lucrative way to get clients in

3:32:30this whole ad space. If you are someone

3:32:32who has experience in digital marketing

3:32:34uh like myself, this is a very exciting

3:32:38place for the AI agency space right now

3:32:40because very few people are

3:32:41experimenting with actually getting

3:32:43clients through paid paid traffic. So if

3:32:45you want to explore something, if you

3:32:47have these the skill set, these are not

3:32:48something you can just casually pick up.

3:32:50It does take quite a while and you are

3:32:51going to need to focus on okay, I'm just

3:32:52going to use search ads. I'm going to

3:32:54run to this. There's a lot of you're

3:32:56going to be spending money on ads of

3:32:57course. So this is for people who are

3:32:58perhaps willing to invest a little bit

3:33:00more to get results faster. But if you

3:33:02put a bunch of spend behind Google ads

3:33:03or YouTube ads and LinkedIn met ads,

3:33:05etc., and you spend time to focus on

3:33:07just one platform and test this offer to

3:33:09see what's converting the most, you will

3:33:10find eventually you may need to bring in

3:33:12an agency or bring in an expert, get a

3:33:14consultant, etc. But you will find some

3:33:16combination of ad creative and and copy

3:33:18and messaging and also the offer that

3:33:20you're making on your landing page that

3:33:21is able to generate you leads and booked

3:33:23calls on a consistent basis. and you can

3:33:25turn up the the ad spend and you're

3:33:27going to get more leads. So, this is

3:33:28extremely lucrative and this is

3:33:29something that is again still wide open

3:33:31because myself and my business partner

3:33:33Josh run a marketing agency extensive

3:33:35marketing experience but because we site

3:33:38all through YouTube we've never had to

3:33:39run ads for our agency. So, we haven't

3:33:41actually explored paid acquisition for

3:33:42AI agency clients. So, it's still wide

3:33:44open. I'd love to see more. We see it in

3:33:46the accelerator. It's starting to come

3:33:47up as you'll see a little bit later. Uh

3:33:48but experimenting with these is is

3:33:50extremely exciting space for me and I'm

3:33:51looking forward to seeing how it

3:33:52progresses. But like I said, if you're

3:33:53going to do it, just pick one and do it

3:33:55well and experiment back and forth, back

3:33:56and forth until you're getting a good uh

3:33:58cost per lead or whatever conversion

3:34:00rate you're looking for, cost per

3:34:02appointment booked, etc. So, number 16,

3:34:04we have school communities. This is one

3:34:07that we're starting to see quite a lot

3:34:08in my accelerator where people are using

3:34:09these school communities to find

3:34:11hyperargeted pockets of their ideal uh

3:34:14ideal customer, the business owners

3:34:15they're trying to attract. And then they

3:34:17can go in there and they can build a bit

3:34:18of rapport. They can make posts. They

3:34:19can network. They can DM directly and

3:34:21use the school communities as a way of

3:34:23just finding a big pool of the people

3:34:24they want to get in touch with and then

3:34:26working some leads in there as well. The

3:34:27guy in my accelerator who's really

3:34:28crushing it and getting a lot of

3:34:29bookings with us at the moment, he's

3:34:31selling an AI calling system to real

3:34:32estate agencies and and agents. And what

3:34:34he's doing is finding school communities

3:34:35that have the people that he's trying to

3:34:37sell to. He's going in, he's making

3:34:38posts, he's sharing value, he's directly

3:34:40DMing people and building up a a bit of

3:34:43rapport in the community and then

3:34:44getting a ton of bookings from there by

3:34:46just sending a l by DM, etc. School

3:34:48communities are great for that and

3:34:49finding a big pocket of people that you

3:34:50want to get in touch with. You do have

3:34:52to be wary when you're doing the school

3:34:53community strategies not to come in too

3:34:54hot and just immediately start saying,

3:34:56"I sell this, who wants to buy it?"

3:34:57Because you get banned immediately. If

3:34:58you do that stuff in my community,

3:34:59you'll get banned instantly. Um, but if

3:35:03you can go in and build a bit of

3:35:04rapport, you you make posts, you become

3:35:06known as a p, the AI guy or girl in the

3:35:08community that they can go to to talk

3:35:09to, you get in touch with the

3:35:11moderators, you get in touch with the

3:35:12owners, etc. You make yourself a a a

3:35:15part of that community and give out a

3:35:16lot of free value and actually add to

3:35:18the net net sum of the value in that

3:35:20community, then you'll be able to

3:35:21generate leads in that community

3:35:22basically whenever you want if you have

3:35:24a good offer and if you have new stuff

3:35:25to sell them. a extremely effective

3:35:28strategy because it's hyperargeted and

3:35:29you know if you go into a large school

3:35:31community and you spend 2 3 months even

3:35:34building up rapport and becoming the

3:35:35person within that community they can go

3:35:37to is if it's big enough you have

3:35:38basically infinite pool of people and

3:35:40there's always people coming into these

3:35:41communities as well. So you've got a an

3:35:43excellent client acquisition method if

3:35:45you choose to do this. But again, if you

3:35:46just pick one and do it well, you'll

3:35:48have enough clients um to get you off

3:35:49the road. And similarly to this, we have

3:35:51Facebook groups, we have LinkedIn

3:35:54groups. All right, so same sort of thing

3:35:55applies here. LinkedIn and Facebook

3:35:56groups. Your first thing is finding the

3:35:58group. You need to find someone that has

3:35:59the people that you want to sell to in

3:36:01it. Um and that means picking a specific

3:36:02niche or a type of customer that you

3:36:04want to be selling to. Facebook groups,

3:36:06go on Facebook, have a little search

3:36:08around, try to get into a couple of

3:36:09them. LinkedIn group, same sort of deal.

3:36:11But as I said with the school

3:36:12communities, don't come in hot. Don't

3:36:14just come in and start selling

3:36:15immediately. That's not going to last.

3:36:16You might get a couple call bookings

3:36:18from people who are probably quite

3:36:19stupid if they're just going to click

3:36:20some random guy selling selling stuff in

3:36:22their community. But if you can build up

3:36:24a bit of rapport, get become familiar

3:36:26with the people in the community, be

3:36:27known as someone who provides value and

3:36:29someone's trustworthy. Again, the

3:36:30authority and credibility that you need

3:36:32to be able to close deals. If you give

3:36:33away some free value in these, you can

3:36:34be sure that you're going to be getting

3:36:36a bunch of interest and hopefully you

3:36:38convert that into bookings and clients

3:36:39as well. Right. Number 19 is cold

3:36:42calling. Now, this is everyone's

3:36:43favorite. Uh but it is quite terrifying

3:36:46for most people and it is something that

3:36:48if you did choose to do it well and just

3:36:49said, "Okay, I'm just going to learn how

3:36:50to cold call businesses and get them

3:36:52interested in AI solutions." That would

3:36:53be all you need to do. And then you

3:36:55could teach other people how to do it on

3:36:56your behalf as well. So, while it is

3:36:58terrifying, it is extremely effective.

3:37:00you can in the space of a couple of

3:37:01hours call hundreds of businesses and

3:37:03offer them your services. So it's in

3:37:05terms of input output and the amount of

3:37:06time and effort you put in to the

3:37:08potential output. If you were doing that

3:37:09every single day, there is no way that

3:37:10you would not get clients. So I will

3:37:12leave some resources on how to get into

3:37:14cold calling on the school community as

3:37:15well. Number 20, again talking about

3:37:18input output is expose and

3:37:22events. So, if there is a type of

3:37:26business owner or an industry that you

3:37:27want to target and there is an exponent

3:37:29or an event in a big city near you, if

3:37:31you go in there, it might even just be a

3:37:32local one, but if you go there, you're

3:37:34going to be surrounded by your ideal

3:37:36customer, you have infinite chances

3:37:38basically to go and have conversations

3:37:40with them and learn more about them and

3:37:41get in their head. If you are trying to

3:37:42be a niche agency and focusing on

3:37:44selling to a specific type of people,

3:37:46this is a in terms of the density of of

3:37:48how many people you can talk to in a

3:37:50short space of time and the

3:37:51effectiveness of that, it's going to be

3:37:53basically unmatched anywhere else, any

3:37:55other method that you're trying to reach

3:37:56out to people, right? So, if you're

3:37:57there in the space of 4 hours, 5 hours,

3:38:006 hours at one of these events and

3:38:01expose, you can have conversations with

3:38:02dozens of people, get dozens of numbers

3:38:04and contacts, offer them your services,

3:38:06let them know who you are. These can

3:38:07feel a little bit awkward. you're a

3:38:08stranger walking around a expo trying to

3:38:11sell your AI services, but in the space

3:38:12of just one day of relative discomfort,

3:38:14yes, I know, you can put yourself and

3:38:16your business further ahead than if you

3:38:18spent a month or two doing any of this

3:38:19stuff, right? So, you can get a massive

3:38:21leaprog forward for your business in

3:38:23terms of the connections you have and

3:38:24the potential clients in the pipeline.

3:38:26So, while uncomfortable, extremely

3:38:28effective and

3:38:29similarly

3:38:3121 is

3:38:33walk-ins. So, in this digital age, we

3:38:35kind of forget that you can just walk

3:38:36into a business and and say hi and and

3:38:38introduce yourself and offer your

3:38:39services. All you need to do is search

3:38:41up the types of businesses that you want

3:38:42to find on Google. You can get a big

3:38:44list of their addresses and then in one

3:38:45day you can go out and walk into a whole

3:38:47bunch of these businesses. Now, the

3:38:48tricky part here, of course, is when

3:38:49you're walking into these businesses,

3:38:51what do you actually do when you're in

3:38:52there? What's the process? If there's a

3:38:53receptionist, what do you ask for, etc.

3:38:55This is going to vary from industry to

3:38:56industry. So, you're going to need to

3:38:57come up with your own strategy. I can't

3:38:59spoon feed you something here, but

3:39:01essentially if there are businesses in

3:39:02your town or city that are the kind of

3:39:04people that you want to be selling to,

3:39:05you can walk in there and introduce

3:39:07yourself and offer your services. Highle

3:39:09overview of that. Next, our second to

3:39:11last one, as you probably expected, is

3:39:13cold

3:39:16email. Cold email to uh

3:39:21free order slash

3:39:24lead magnet slashfree service. So cold

3:39:28email of course pretty well established

3:39:31method for getting in touch with people

3:39:32and letting them know about your

3:39:33services. Again advertising is just to

3:39:35make known. So we're making our business

3:39:36and our services known to people via

3:39:38these different methods. And so cold

3:39:40email is a way of getting in touch with

3:39:41them using a platform like instantly is

3:39:43the best one to go go with by far. So

3:39:45instantly is a cold email platform and

3:39:46they make everything extremely easy for

3:39:48you if you're looking to use this

3:39:49method. But the tricky thing with cold

3:39:50email is one how to get high quality

3:39:53leads. So that's an entire problem in

3:39:54itself. making sure that you're sending

3:39:55out to people who really could use your

3:39:57services. But then you need to think

3:39:58what the actual offer is and what you're

3:39:59saying within these these emails, right?

3:40:01So got a couple options here. Firstly, a

3:40:03free AI audit similar to this. So it's

3:40:05again similar to these ads here, right?

3:40:07Where you're making some kind of offer.

3:40:09Hey, click here to do this or in cold

3:40:11email. You don't want to send any links

3:40:13or anything in the in the message

3:40:14itself. You just want to create some

3:40:16interest and say, hey, would you be

3:40:17interested in me sending this over or

3:40:18would you like to know a little bit more

3:40:19about this? Just reply yes and I'll

3:40:21shoot it over. So in this way you can

3:40:22say, "Hey, look, we do free AI audits

3:40:24for this assist. If you're interested,

3:40:26we have a couple slots coming up next

3:40:27week for AI audits. Please just reply to

3:40:29this with a yes and I'll send you some

3:40:30more information on the AI audit and how

3:40:32you can book." So they reply with yes

3:40:33and then you send them the information.

3:40:34Same goes with the lead magnet. I've

3:40:36personally tested this lead method out

3:40:37and it works. If you have some kind of

3:40:39ebook or resource that you create, you

3:40:40can send out cold email and people go to

3:40:42reply and say, "Hey, yes, I'd like that

3:40:44free AI value ebook for XYZ niche." Or

3:40:47finally, you can offer a free service or

3:40:49product. This is actually a method used

3:40:50by a lot of people within my accelerator

3:40:52just to get their agencies off the

3:40:53ground particularly when you don't have

3:40:55the testimonials and the case studies to

3:40:57have that authority and credibility to

3:40:58get those deals signed. Right? So that's

3:41:00third technical expertise, lead flow and

3:41:02then authority and credibility that when

3:41:03you start out you don't really have that

3:41:05third one because you haven't done

3:41:06anything. And that's why if you create

3:41:07content documenting your learnings, you

3:41:09have some you at least you have

3:41:10something going into it. Whereas if

3:41:11you're starting out where a lot of these

3:41:12guys did, they had nothing. So they had

3:41:14to offer these free chat bots and say,

3:41:16"Hey, look, we'll build this thing for

3:41:17you um free of charge." and that got

3:41:19their foot in the door to open up to

3:41:20upselles and further AI solutions for

3:41:22them. So from there, they're able to

3:41:24sell them two, three, $4,000 products or

3:41:26services on top of that. But the free

3:41:28service is another great one and I

3:41:29highly recommend you testing those out

3:41:31if you choose to do cold email. Again,

3:41:32if you just do cold email and do it

3:41:34well, test all these different offers

3:41:36and test a bunch of different lead

3:41:37sources. I promise you, you will get

3:41:39results if you're sending out enough

3:41:40emails. And finally, lucky last, saving

3:41:43potentially the best for last.

3:41:4523 is a webinar funnel plus ads. Now,

3:41:49this is an exciting one um that's come

3:41:51out of my accelerator. We've got some

3:41:53people in there who have experimented

3:41:54with this and are seeing success running

3:41:56ads to some kind of webinar signup where

3:41:58it's like an AI learn more about how how

3:42:00AI can help your business. Sign up. I

3:42:03believe the person who first did it was

3:42:04using a uh a $3 kind of wallet checking

3:42:07them to see if they're actually willing

3:42:08to pay at all. So, you can put a micro

3:42:10commitment down where they have to pay

3:42:11$3 to sign up and get access to the

3:42:13webinar. And then when they host a

3:42:16webinar, they're sitting there, they do

3:42:17a live event, but they're going through

3:42:19and explaining them. They get a chance

3:42:20to build trust and and authority and

3:42:22credibility with the people who have

3:42:23signed up. And then this person from

3:42:25Accelerator was able to convert that

3:42:26into a $10,000 sale. So, they've signed

3:42:28a client for $10,000 based off running

3:42:31ads to this $3 micro commitment um and

3:42:33getting a chance to show their expertise

3:42:35and what they know about AI and how it

3:42:37can benefit businesses through a

3:42:39webinar. Now, if you're not entirely

3:42:40sure what a webinar is, I'll put some

3:42:42resources on the school to to let you

3:42:44know how a webinar funnel works. A

3:42:46pretty popular method of selling things

3:42:47online. Russell Brunson was really the

3:42:49guy who just made these things massive

3:42:50and got them super dialed in. But this

3:42:53is could potentially be put into

3:42:55something here, but I want to keep it

3:42:58separate cuz it is a really new and

3:42:59exciting one that that deserves its own

3:43:01its own category here that I wanted to

3:43:03dive into a little deeper. And so,

3:43:04that's about all for the video. As I

3:43:05mentioned, all the resources for these

3:43:07under each of these different methods,

3:43:08I'm going to provide some YouTube links,

3:43:10some free resources for each of these if

3:43:12you want to learn how to go deeper on

3:43:13them and actually learn how to do it and

3:43:15implement it within your agency. So, um,

3:43:17I hope this been valuable. There's a lot

3:43:18there. Again, you only need to do one

3:43:20and do it well, whether that's a Fiverr,

3:43:22whether that's Medium, whether that's

3:43:23YouTube like I've done. If you just pick

3:43:25one and spend a solid 3 to 6 months

3:43:28really working on just getting the

3:43:29results out of that platform, then you

3:43:30will see results. But if you keep

3:43:32chopping and changing and you're doing a

3:43:33new one every 2 weeks, you're not going

3:43:35to see results. If you jump in and do

3:43:36cold email for a few few weeks and it's

3:43:38not working well, it's cuz you didn't

3:43:39actually push through and continue to

3:43:42absorb more information and seek seek

3:43:44expert advice, find niche YouTube videos

3:43:46on how to get the most out of it. You

3:43:48need to keep assisting on one of these

3:43:49platforms in order to get the most out

3:43:50of it and for you to create a system

3:43:52that's going to bring you leads

3:43:53consistently. So, all of it's on the

3:43:56school community that's down below. I

3:43:57know a lot of you guys are already in

3:43:58there. Um, we've got an excellent

3:43:59community over there. The link to join

3:44:00the school community is going to be the

3:44:01first one in the description down below.

3:44:03So you can join there. I'll see you in

3:44:04there for my Friday Q&A if you guys want

3:44:06to ask me questions

3:44:09directly. So over the Christmas and New

Generate Unlimited Leads w/ Content

3:44:12Year break, I did a bunch of surveying

3:44:13in my school community and elsewhere

3:44:14asking you all what your biggest

3:44:16problems were in in the current moment

3:44:17with your AI automation agency. And one

3:44:20of the biggest problems that uh revealed

3:44:21itself is that you guys are struggling

3:44:23with consistent uh lead generation. and

3:44:25you might have just started the business

3:44:26and you've got maybe your first client

3:44:28or two, but you don't have to take it to

3:44:29that next stage of saying, "Oh, now I've

3:44:31got a consistent stream of bookings

3:44:33coming in so that you can actually start

3:44:34to hire a team and and have some kind of

3:44:36consistency so that you know you can

3:44:38actually build this business on a

3:44:39longerterm basis than than just like one

3:44:41client to the other and always worrying

3:44:43about where the next one's coming from.

3:44:44So, in this video, I'm going to be

3:44:46walking you through basically the exact

3:44:47system that I've used to generate

3:44:49thousands of leads for my AI automation

3:44:51agency morning AI and uh really just

3:44:54give you a bit of a marketing masterass

3:44:55if I do say so myself. Um, from my six

3:44:58years in in digital marketing, I've done

3:45:00everything from like running paid ads to

3:45:01sell physical products through like

3:45:03Shopify, drop shipping, etc., U

3:45:04marketing agency um sort of typical way

3:45:07we make and more importantly and more

3:45:10recently uh organic content funnels and

3:45:12how to make content like this um and on

3:45:15other platforms and to consistently this

3:45:17says infinite leads if you can't see it

3:45:19but to consistently convert strangers

3:45:21into uh leads and then ultimately to

3:45:24sales as well. So I'm not going to be

3:45:25touching on the sales section of this

3:45:26video. I think that deserved its whole

3:45:28own own video entirely. But I'm going to

3:45:31focus on the lead generation portion of

3:45:34breaking down exactly how this works.

3:45:36And I think a lot of you want to do

3:45:37this, but you don't quite understand

3:45:39don't understand how this mechanism

3:45:41works. So it's actually not too complex.

3:45:43And I'm going to break it down for you.

3:45:44And at the end of the video, I'm going

3:45:45to be giving you a a resource that you

3:45:47can take to put this into plan. So I

3:45:49know you guys might look at what I do on

3:45:50YouTube now and think that's that's sort

3:45:52of a bit more advanced than I'm unable

3:45:54to do right now. But I'm going to boil

3:45:55this down to if I was starting again.

3:45:57Um, and I mean, I've generated like 10

3:46:0010 million plus views or something. I

3:46:02got a lot of subscribers next to my

3:46:03name. So, I know a decent amount about

3:46:06this. And, uh, I'm going to give you

3:46:09what I would the exact strategy and the

3:46:10sort of blueprint for starting a a

3:46:12organic content funnel like this that I

3:46:14would do if I was getting started again

3:46:15with my AI automation agency. So, to get

3:46:18started, this is going to be a bit of a

3:46:19slower pace video by the way. Um, this

3:46:21is Sunday afternoon here. U and guys out

3:46:24there building a sauna. So I thought

3:46:27this is a good chance for me to give you

3:46:28guys a breakdown of the marketing side

3:46:29of things. So it's not going to be super

3:46:31Tik Tok brain optimized. I'm sorry, but

3:46:33I promise you it's going to be some

3:46:35extremely valuable information for you

3:46:36if you are looking to scale your auto

3:46:39agency in 2025 by generating consistent

3:46:41leads. So the whole process of of lead

3:46:45generation and I mean the the entire

3:46:47client acquisition part of a business is

3:46:49to turn strangers into customers, right?

3:46:52So that's like the whole thing.

3:46:53Stranger, never heard of you before to

3:46:56customer. So we can call these cold,

3:46:59these people are cold, right? They have

3:47:01different um temperatures. You have cold

3:47:04and then people will call it

3:47:06warm and then you can call it hot. So

3:47:09these are different audience

3:47:10temperatures. And this is pretty

3:47:13fundamental marketing uh terminology.

3:47:17Cold audiences, never heard of you

3:47:18before. Warm audiences, people who have

3:47:20heard things before, maybe they've been

3:47:22referred to you or they've engaged with

3:47:23your content before, they've given you

3:47:24the email, etc. They're warm. They've

3:47:26taken some kind of they're no longer

3:47:28strangers. And hot are people who are

3:47:30showing extreme or like serious buying

3:47:32intent and they are likely closable if

3:47:35you make the right offer or get in front

3:47:37of them in the right way. So that's

3:47:38first things first. So up here, this

3:47:40represents all the strangers. And so

3:47:42when you are trying to market your your

3:47:44business or regardless of if it's AI

3:47:46automation agency or other you have

3:47:48these strangers and what content allows

3:47:49you to do and this is being an organic

3:47:51content funnel I think that that term

3:47:54was coined by Matt Gray um and he's done

3:47:56a lot lot of stuff in sort of explaining

3:47:58how this organic content funnel works

3:48:00and it's been very helpful for me to

3:48:01understand what I've been doing all

3:48:03along and and putting into a bit more of

3:48:04a a framework like this. So shout out to

3:48:07Matt great for that.

3:48:09What we're trying to do is turn these

3:48:10changes into into these are book

3:48:12meetings. Let's call these bookings on

3:48:14your

3:48:15calendar and these are

3:48:19closes. The first thing you need to do

3:48:21when it comes to content is to get

3:48:24awareness. Right? The first problem is

3:48:26let's write this up here. Problem

3:48:32one is awareness. No one even knows who

3:48:35you are.

3:48:39And awareness step is taking these

3:48:40strangers and putting them into this

3:48:42first one. So we can say this is

3:48:46going and converting them into this

3:48:48little one. So the thing with content is

3:48:50that certain platforms have

3:48:52discoverability engines. Like say here

3:48:54on YouTube, if you make content that is

3:48:57talking about how uh builders can use AI

3:48:59or the best real estate AI systems,

3:49:02YouTube has an algorithm that allows you

3:49:04to be discovered. So it'll try to find

3:49:06people or either through YouTube search

3:49:08or uh just being recommended on their on

3:49:10their brows that will try to convert or

3:49:13at least show those videos to these

3:49:15strangers and if you are appealing to

3:49:17what those strangers are interested in

3:49:19say these are these are red dots might

3:49:20be your builders right and this is just

3:49:22the millions of people on these

3:49:23platforms. There are red dots in that

3:49:25audience. You just need to be able to

3:49:27attract them and convert that uh convert

3:49:30them from strangers into people who are

3:49:32aware of you. So this is the uh

3:49:34awareness problem and the way you do

3:49:36this is by making content that is

3:49:37targeted to a certain group of people.

3:49:39So top five AI automations for builders

3:49:42in 2025. Simple like just more ideas

3:49:46like that. And this goes for the same

3:49:48thing for if you're posting on LinkedIn

3:49:50or if you're posting on X etc. But you

3:49:52need to solve this first problem of

3:49:53awareness and that's done through

3:49:54creating content and posting on

3:49:56platforms that allow you to be

3:49:57discovered. So and Tik Tok is a great

3:49:59example of this because they were the

3:50:00first ones. Uh if you go back a few

3:50:03years before we had reals on Instagram,

3:50:04if you made a new Instagram account and

3:50:06you started posting the most amazing

3:50:08content ever, but you had no followers,

3:50:10you weren't going to get any any

3:50:11engagement because there's no

3:50:12discoverability. You're not getting

3:50:14yourself in front of anyone new. So this

3:50:16is when for you pages and stuff like

3:50:18that were popularized through

3:50:20popularized through Tik Tok and uh

3:50:22Instagram of course with that and

3:50:24YouTube's always been kind of a

3:50:25discoverability engine like that. So, if

3:50:27you want to solve this first problem of

3:50:29turning strangers into into paying

3:50:31customers, you need to think about how

3:50:32you solve this awareness thing. And

3:50:34that's going to be done through using a

3:50:35platform like YouTube or through

3:50:37Instagram reels or whatever where they

3:50:40have an engine that can allow you to be

3:50:41shown to people who are not your

3:50:42followers. Otherwise, you're going to

3:50:44have a much harder time. Say if you

3:50:45started a new Twitter account and you

3:50:46got zero followers. I believe they may

3:50:48be incorporating more of a a

3:50:50discoverability engine into Twitter. Um,

3:50:53yeah, I think there's people you follow

3:50:54and then like general posts as well. So

3:50:57it seems like they have integrated that

3:50:58as well. But that's the first problem is

3:51:00getting them across here and these guys

3:51:03to see your content and ideally follow

3:51:05you. So I'm going to say this first step

3:51:07from completely cold into this sort of

3:51:09warm area. These are people who have

3:51:13um

3:51:14seen your content

3:51:20um followed

3:51:22you

3:51:25followed/subscribed and this is

3:51:26basically victory number one for you.

3:51:28Have you made something that is

3:51:31appealing to the people that you're

3:51:32trying to find and it's converted them

3:51:34from a stranger, it's gotten them to

3:51:35click or to stop scrolling and they've

3:51:38watched your content and ideally they've

3:51:39followed your subscribe. So, this puts

3:51:40them in kind of the holding bay of like,

3:51:42okay, now I get a chance to keep sending

3:51:44more sending more uh value and passing

3:51:47more value that way through my posts,

3:51:49right? So, um you can be found on on

3:51:51YouTube and they subscribe to you. And

3:51:53the way YouTube works is that it's going

3:51:54to provide it's going to push those

3:51:55videos onto their uh their browse page

3:51:58and also in the subscriptions tab. But

3:52:00the main thing is that if you're

3:52:01subscribed to someone, like many of you

3:52:02subscribed to me, my videos are going to

3:52:04pop up in your home feed a lot more

3:52:06because you're subscribed to me and I I

3:52:07thank you guys for following me and

3:52:09watch my videos, I hope you get enough

3:52:10value out of it because I I really try

3:52:11to pack as much and and thank you for

3:52:13all the nice comments on some of the

3:52:14recent videos. Like I I really do

3:52:16appreciate it. Um, and I hope you guys

3:52:19know that I'm I'm really trying to put

3:52:21you guys on here

3:52:23and yeah, I I'm really trying and um I I

3:52:28know a lot of you see that and

3:52:30appreciate that. I'm trying to be

3:52:31straight up with you all about things.

3:52:33Um, but yeah, I just appreciate you all

3:52:36for for everything you've done for me

3:52:37and my team and stuff like that, but I

3:52:39don't want to get all mushy on you, but

3:52:41um allow me to do this stuff and this is

3:52:43what I love. So, so your content and

3:52:46you've solved that problem. So, problem

3:52:48number one, awareness is solved and that

3:52:51is they've got you've got them on some

3:52:52kind of holding platform. Now, the

3:52:53important thing to understand here is

3:52:55that this these are called rented

3:52:56audiences, right? These are bad. Well,

3:52:59they they're better than cold. It's

3:53:00obviously better than no one knowing you

3:53:02exist, but these are

3:53:08rented. These are rented audiences.

3:53:10rented, meaning you are a guest on the

3:53:13YouTube platform or you are a guest on

3:53:15the X platform or whichever one you're

3:53:17you're on. Basically, at any point, they

3:53:19could turn the lights off of your

3:53:20account. All of your access to them is

3:53:22determined by the algorithm and by uh

3:53:25staying within the bounds of of what's

3:53:27allowed on that platform. So, it's

3:53:28rented. While this is good, you can have

3:53:30like Oh, I'm just going to ditch these

3:53:32down here. By the way, you could have

3:53:3510,000 followers or you make content

3:53:38that allows you over the course of a few

3:53:39months. you eventually g 10,000

3:53:42followers, 10,000 people who want to be

3:53:44basically subscribed to see more content

3:53:45like that. Um, and this can also be done

3:53:48through what's called a CTA. So, this is

3:53:50a bit more marketing CTA, call to

3:53:52action. Say in this video, I could say

3:53:55if you enjoy this kind of content and

3:53:57you want to learn how to build AI

3:53:59businesses and and make an impact in the

3:54:01world and uh see the the best version of

3:54:04yourself through this awesome vehicle,

3:54:05then subscribe to the channel. See, I

3:54:06just did a that's called a CTA. So, I

3:54:08just did a call to action to get you to

3:54:10subscribe to the the channel so that you

3:54:12see more content like this. Pretty basic

3:54:13stuff, I know. Um, but you can do this

3:54:15in written content as well. So, the CTA

3:54:17here would be, hey, subscribe to me for

3:54:19more content like this, which is what I

3:54:20just said to you. And hopefully some of

3:54:22you have subscribed if you haven't

3:54:23already. And this is how you get your

3:54:25your followers or whatever the the

3:54:28platform specific one is. And

3:54:30then we need to convert these rented

3:54:32audiences which is good to have but

3:54:34still not uh not what you really want um

3:54:37and can be taken away at any point as we

3:54:39saw through I know the whole co thing

3:54:41certain people getting completely taken

3:54:42off and and various different platforms

3:54:44if you say the wrong thing you're gone.

3:54:46So if you're running a business you want

3:54:47to have diversified or definitely

3:54:50factored in that risk that you could get

3:54:52nuked at any point. And so this is when

3:54:54we get into what's called um this blue

3:54:57one doesn't work that well. Oh,

3:54:59sorry. A red a red tick uh of owned

3:55:07audiences. Now, this is the really

3:55:09really really important thing. So, say

3:55:10we're doing the building example and

3:55:12we've gone and we've got we've managed

3:55:13to pull a bunch of builders out. We've

3:55:14made some really good stuff that appeals

3:55:16to builders on YouTube or maybe you've

3:55:18gone on Instagram cuz you realize that

3:55:19Instagram is a better platform for

3:55:21finding builders. Um that is something

3:55:22you need to factor in if you are doing a

3:55:24content system like this. Um, if you're

3:55:26trying to find a certain type of person,

3:55:29it's like,

3:55:30would Seale execs be watching YouTube

3:55:33and picking around? I'm sure there's

3:55:34some, but you need to make sure you're

3:55:36using the right platform to find the

3:55:37right people. So, that's a that's an

3:55:41ideal line of getting awareness with my

3:55:44content that YouTube has served to these

3:55:45builders or they found it through the

3:55:48search engine like top automations for

3:55:50builders or like five things every

3:55:52builder should know about AI moving.

3:55:55Y and so we've got them in this rented

3:55:57audience. Now we need to try and move um

3:55:59so let's say this is all full of

3:56:02them. We now need to try to move some of

3:56:05them across

3:56:06this and into our rented audience. Now

3:56:09what is a rented audience? Typically um

3:56:12general marketing is just the email. Can

3:56:14you get their email? So this is there's

3:56:19email and then there's

3:56:22SMS and then obviously there's like

3:56:24WhatsApp and any other things but

3:56:25basically you can I mean WhatsApp also

3:56:28could WhatsApp you're still technically

3:56:30using their platforms and you could be

3:56:31banned. So email and SMS are kind of

3:56:33permissionless. You do need to obviously

3:56:35stick within the the realm of uh good

3:56:38email practices to not get banned and

3:56:39also uh SMS to your list should be fine.

3:56:42Yeah, there's basically nothing at least

3:56:44you're spamming them. But basically you

3:56:45have their number, you have their email

3:56:47and you can communicate with them

3:56:48whenever you want and however you want

3:56:51until unless you make them unsubscribe.

3:56:53Um but that the point is that you have

3:56:55control over it. They have opted in

3:56:57given you their their details so that

3:56:59you have permission to contact them. And

3:57:00the most important thing about business

3:57:03um maybe uh definitely one of the most

3:57:05important things is being able to

3:57:06communicate directly to your customer

3:57:08base. And if you think about it, if you

3:57:10send an email out to a 10,000 person

3:57:13email list, you might get 30 to 40% of

3:57:16those opening. So even then when you've

3:57:18got their email only and then how many

3:57:20of them actually read the whole thing?

3:57:21So then that's when you realize how

3:57:22difficult it truly is to to like get a

3:57:26little bit of the brain space of all the

3:57:28people you're trying to work with. So

3:57:29whether that's you're hitting them with

3:57:30with lots of content all over the place

3:57:32and hitting them with emails, even with

3:57:34all of that noise and all of that value

3:57:35you're throwing at them, it's still

3:57:36quite hard to get through to them.

3:57:38That's why having a direct line to them

3:57:40is such a valuable thing. And that's why

3:57:42it's important to try to get an owned

3:57:43audience. So, the way you do this, um,

3:57:45and I'm even going to show you how to do

3:57:47it with this video because I'm I'm going

3:57:48to attach the the free resource with

3:57:49this for you guys to to build out your

3:57:51own uh your own organic content funnel

3:57:53like this. But, you need some kind of

3:57:56value or CTA or something. And a lot of

3:57:58the people in my accelerator to do this

3:58:00um are doing very very well at LinkedIn.

3:58:02I'll try to um put a couple of the

3:58:05LinkedIn profiles of them down there if

3:58:07I can if I can find some good bots. Um

3:58:09but basically they're doing content that

3:58:12is getting people to engage with it's

3:58:14like hey these these 20 make automations

3:58:16do automate your business in

3:58:192025 kind of broad things and you have

3:58:21like a a Loom video showing this make

3:58:23automation and fairly fairly standard. I

3:58:26feel like I feel like we haven't made it

3:58:27standard on on LinkedIn because of how

3:58:29much we're pushing it in the

3:58:30accelerator, but you guys probably see

3:58:31it all the time. If you don't, then hop

3:58:33on LinkedIn and follow a couple AI

3:58:35automation agency owners and you

3:58:37definitely see a lot of it. But

3:58:38something that you make some content on

3:58:40here uh on say LinkedIn or YouTube or

3:58:43whatever and then you attach to it some

3:58:45kind of offer. So, another

3:58:47CTA saying, "Hey, if you enjoyed this,

3:58:50I've actually got even more value or

3:58:51even more stuff to give you, and I'm

3:58:53going to put it um just behind this

3:58:55thing where you have to give me your

3:58:56email." And so, that step is getting

3:58:59them into say uh email

3:59:03list. And so, of course, you can just

3:59:05say sign up to my newsletter, but

3:59:06there's not much value behind that. So,

3:59:08I mean, use an example of of what I've

3:59:10literally given to you guys in this

3:59:11video. Um, it's a

3:59:14free

3:59:16resource, what's called a lead

3:59:21magnet. Um, and that CTA is going to

3:59:25take them from this audience here, the

3:59:26rental audience, into your owned

3:59:28audience where you have the email or

3:59:29SMS. And now in here is an important

3:59:32mechanism um that is is probably one of

3:59:35the lesser understood ones in in the

3:59:38entire sort of marketing space. And this

3:59:40is something that took me quite a while

3:59:41to to realize as well. So there's

3:59:43another very very important stage and

3:59:46it's

3:59:46called

3:59:53nurturing. And this is what happens in

3:59:56this section here. I mean it's

3:59:58technically happening here but nurturing

4:00:00is basically just building up sort of

4:00:01trust

4:00:03um respect all those loveydvey words.

4:00:08um uh authority and just like this we do

4:00:12it at at Morningside AI with our uh with

4:00:14our customer list and they like the

4:00:15people that would be on sales calls that

4:00:16we would like to close uh at a later

4:00:18date. Um the exact same process works

4:00:21for uh say education businesses like

4:00:23like the the AAA accelerator IRM and

4:00:25more for you guys is doing the exact

4:00:27same thing for nurturing your AI

4:00:28automation agency leads. Um, so

4:00:31nurturing is is a key step and it can be

4:00:34done through content whether like you

4:00:35guys watch my channel right now. If you

4:00:37guys have a YouTube channel, you

4:00:38technically nurture them, but what you

4:00:39can do is you can run emails to push

4:00:42them out of your list to watch the video

4:00:44and that continues to prove your

4:00:46expertise, build a relationship with

4:00:48them. They say you need like seven touch

4:00:49points on average these days in order to

4:00:51sell something. And so if you guys are

4:00:53trying

4:00:54to convert these builders, okay, we're

4:00:57using the builders, bought these

4:00:58builders into people who are uh booked

4:01:01onto your calendar. So this is this is

4:01:03book these bookings that I come out the

4:01:04second stage. Then you need to have some

4:01:06way to prove that you know what you're

4:01:07talking about, that you are someone that

4:01:08they can

4:01:09help. Then then you need to prove that

4:01:12you are someone that can actually help

4:01:13them to achieve what they want to

4:01:15achieve. And that's the best case of

4:01:17being their guide to better understand

4:01:19AI and to use it to improve their

4:01:21business. So this nurture step is is so

4:01:23critical and that's why what it's really

4:01:25important to get them into that that

4:01:26owned audience because you get a chance

4:01:28to consistently nurture them. Say the

4:01:30the way you put this into your strategy

4:01:32for the builders is once a week or twice

4:01:35a week, you talk about one handy or

4:01:37maybe like an interview that you did

4:01:39with the client or a breakdown of a case

4:01:40study that you did or a a list of handy

4:01:43tools or things that they should look

4:01:44into or a you there's so many different

4:01:47ways that you can prove that you know

4:01:48what you're talking about or or that

4:01:49you've like an interesting story that

4:01:51that you had when you're working with a

4:01:52client recently. this kind of stuff and

4:01:54providing free value and and really

4:01:56writing a story of how you want them to

4:01:57perceive you is critical. Maybe you did

4:02:00a did a podcast or an interview with

4:02:01someone and you shoot that out to email

4:02:03list. Hey guys, just had a chat with a

4:02:04one of the biggest uh

4:02:07building building contracting firms in

4:02:09my my city and with the CEO and we walk

4:02:12through this this this and you ship it

4:02:14out to email list. Basically, at some

4:02:16point they would be like, "Wow, this guy

4:02:18is the person that I need to to work

4:02:20with to get what I want to get done."

4:02:22And that's when you make the final

4:02:27CTA. And this is going to be to um your

4:02:33calendar. And so at the end of all of

4:02:36these these nurture steps when you're

4:02:37shooting out email, shooting out emails,

4:02:39you include at the end of that email or

4:02:40the SMS or they're just going to be the

4:02:43email most of the most time it's going

4:02:44to be your email and newsletter. Um and

4:02:46there's going to be CTA's like, "Hey, by

4:02:48the way, I've actually just opened up a

4:02:49few more spots. we've just got this

4:02:50great result for XYZ. That's what was in

4:02:52the email. A breakdown of a client case

4:02:54study or something you've been working

4:02:55on recently or or a learning that you

4:02:57had. Is that by the way, I've also got a

4:02:59a few spaces opened up on my calendar.

4:03:01Um we're taking on a few more clients

4:03:02for next month. Put a bit of urgency and

4:03:04scarcity in there. We find out that

4:03:05morning side that's always always great.

4:03:07Um I mean you can fabricate it, but I

4:03:10mean it's we we don't need to fabricate

4:03:12it because because we actually have it,

4:03:14but it would before we needed before we

4:03:16were at the safe. Um we did need to

4:03:18fabricate it. So, if you need to

4:03:19fabricate scarcity and urgency, but you

4:03:21guys just being absolutely packed out, I

4:03:23mean, we had to do it when we first got

4:03:25started. Uh, I don't think it's it's

4:03:26illegal by any means. Um, but a bit of

4:03:29urgency and scarcity is great to get

4:03:30them to make that jump and book a call.

4:03:32And so, here is when we start getting

4:03:34those infinite leads and bookings

4:03:36flowing out. And now this is going to be

4:03:38far better compared to say a direct

4:03:40response marketing method like cold

4:03:42email where you're taking them from here

4:03:44to here in you're trying to do it in

4:03:47like a day or like maybe a few days if

4:03:50you got if you've got the follow-up

4:03:51sequence going but you see this is a lot

4:03:53slower. So the direct response direct

4:03:56response marketing is is um a a style of

4:03:59marketing where you're very much focused

4:04:00on fast ROI measurable results um and

4:04:02always making very strong and clear

4:04:04offers with urgency and scarcity etc.

4:04:06Um, this is a a bit of a combination

4:04:09because we've got these these direct

4:04:10response style things where we're trying

4:04:12to push and measure this conversion.

4:04:14Okay, how many people are watching my

4:04:16content and how many people are

4:04:17subscribing to my email list? Okay,

4:04:18that's a you're getting a a direct

4:04:20response from that content, but more

4:04:22broadly, this nurturing step becomes a

4:04:25longer a longer time horizon where it's

4:04:27not so much direct response and it's

4:04:29more so, okay, how can I uh get as many

4:04:32people in here and just over time just

4:04:34pepper away at them. Some people are

4:04:36going to take lower the numbers. Uh some

4:04:37people are going to convert very

4:04:38quickly. But if you get a good mix of

4:04:40value that you give there and then also

4:04:41offers like you can put in once a month

4:04:44at the end of the month at the start of

4:04:45the month and direct a rep offer to your

4:04:46email list saying hey guys we have uh uh

4:04:49just wrapped up three more projects and

4:04:51uh we're actually taking on two more. So

4:04:53um I'd love to work with another another

4:04:55building company locally. Um you can

4:04:57book in a call directly with me here. Um

4:04:59we can have a chat about how we can help

4:05:00your

4:05:02business. So does that all make sense?

4:05:05I know it might seem like a lot of work,

4:05:07but the the biggest thing that uh you

4:05:09guys were asking about in the the forums

4:05:11I put out is this consistent lead

4:05:14generation question. And yes, this seems

4:05:17like a lot, but consistently acquiring

4:05:19leads does take a lot of effort. It's

4:05:22it's one like 80% of your job as the

4:05:24founder in the early stage of the

4:05:26business should be focused on. It's just

4:05:27this this this like how can I make

4:05:29myself more known? How can I take

4:05:31strangers and make some kind of touch

4:05:33point with them and then give them some

4:05:35free value and get them on my email

4:05:36list? So to bring this kind of down to

4:05:39earth for you all. And like I said, this

4:05:41sales portion after on your calendar is

4:05:43a is a whole other story that I can

4:05:45probably do in another video for you.

4:05:47But you guys really need to get serious

4:05:49about setting up something like this cuz

4:05:52the time involvement content creation,

4:05:54if you get it dialed in, uh you can be

4:05:57doing 10 hours a week of of content

4:06:00creation and where you focus and you sit

4:06:02down for two mornings a week and you

4:06:04just bang out some really valuable

4:06:05stuff. You look back over your calendar,

4:06:07there's all sorts of ideation

4:06:08strategies. Um that's I can make a whole

4:06:09other video on that. the exact ideation

4:06:11strategies I used to come up with like

4:06:13200 ideas for content in uh in a few

4:06:16hours. But then you can schedule it up.

4:06:18You can say, "Okay, I'm going to get a

4:06:19content manager in or I'm just going to

4:06:20schedule it out myself initially and be

4:06:23consistently posting across just one

4:06:25platform to start." That's what I

4:06:26recommend and moving people through

4:06:28these. You may not get them immediately

4:06:30jumping over, but I see so many of you

4:06:31doing like the real really the main

4:06:33thing that I want to talk in this video

4:06:34is

4:06:35that so many of you are doing good stuff

4:06:37on the content side and you're

4:06:39getting you're getting engagement. I see

4:06:42a lot of people in my accelerator in the

4:06:43free school community um getting

4:06:45engagement on the social post and lots

4:06:47of people like, "Yeah, send me this,

4:06:48send me that, send me that." But I don't

4:06:50hear as much about it like, "Hey, yeah,

4:06:52I'm just consistently closing these

4:06:53deals." like I got a lot of interest but

4:06:54I haven't seem to to convert that into

4:06:57uh into as many clients I thought with

4:06:59and the people who have figured it out

4:07:01and the ones who are really scaling

4:07:02their agencies right now have realized

4:07:04that there's a step where yes you

4:07:06provided value with your content. Now

4:07:07you need to capture that and you need to

4:07:10also schedule time each week to manage

4:07:13this owned uh this owned audience so

4:07:15that you've got your list and you're

4:07:16consistently peppering them with value.

4:07:18Even if it's just 100 people or 200

4:07:20people initially, just start shipping

4:07:21away and building that up because soon

4:07:23enough you will have again if you just

4:07:25stick to this for 6 12 months. If you

4:07:27want to do building as a niche, again

4:07:29any if you haven't watched my niching

4:07:31video, I just did it. It's it really

4:07:32breaks down the best way to find your

4:07:34your perfect niche in 2025 and beyond.

4:07:36This process is going to allow you to

4:07:39consistently pull people from the

4:07:40unaware and have no clue, the cold

4:07:42audience who doesn't know who you are

4:07:44down through these with consistent

4:07:46content output and then consistent

4:07:49newsletters as well. And so this is

4:07:50exactly what I've done to generate uh

4:07:532,000 or or more leads morning through

4:07:56my YouTube channel. It's probably more

4:07:57like 3,000 out. Um and then also we've

4:08:00got the all the people who book in a

4:08:01call us. We add the email and we do fire

4:08:04emails to keep nurturing them.

4:08:05Basically, whenever we need more

4:08:06clients, the reason we've always been

4:08:07booked out is cuz we'll either go back

4:08:10to the people who are on the waiting

4:08:11list or we'll shoot out an email to our

4:08:13uh the people who we turn away cuz we're

4:08:15too busy and shoot them an email and

4:08:17boom, we're instantly booked up. So,

4:08:20this is incredibly powerful if you do it

4:08:22right. And this step, if you can really

4:08:25understand it, is the key because you're

4:08:27going to be able to get a more

4:08:29cons out of the content you you create

4:08:32more and you consistently build this

4:08:33list so that whenever you need more

4:08:35clients, shoot that offer out directly

4:08:37and most of the other time you're just

4:08:38sharing value as well. So, what I'm

4:08:39going to do as a an example to show you

4:08:41that this stuff works is that I put

4:08:43together a resource, giving you a

4:08:45breakdown on the exact strategies I do

4:08:46to the initial version of a content

4:08:49funnel like this. A step-by-step

4:08:50worksheet for you to go step by step

4:08:52through and to achieve something based.

4:08:54I get it. It may seem overwhelming for

4:08:55you, but if you want consistent leads,

4:08:57you need to start doing this now. And

4:08:58also, the personal branding aspect can

4:09:00completely change your life. Like, it is

4:09:03absolutely changed my life. And the

4:09:05reason I keep making these videos and

4:09:07trying to help so many of you is because

4:09:08the bigger my personal brand gets, the

4:09:11bigger like the leads we're getting

4:09:12through the doors at Morningside are

4:09:14ridiculous. Off some of these these

4:09:15bigger like AI agents videos that are

4:09:17posted, the amount of people who see my

4:09:19face and hear my story and hear that I

4:09:21have a development company and it's

4:09:24ridiculous if you can do it right.

4:09:26Right. So the bigger my personal brand

4:09:29gets, the bigger opportunities I get

4:09:30thrown at me full stop. And if you guys

4:09:32can just get the ball rolling with this,

4:09:33then you get a flywheel. you can just

4:09:35okay I'm making money now let's now

4:09:37let's re-engineer the content let's

4:09:38think bigger let's let's up the

4:09:39production let's let's get a bigger team

4:09:41on then you get in this flywheel and I

4:09:43promise you if you can get a significant

4:09:46personal brand in the AI space through

4:09:47your content creation even if it's just

4:09:48within your niche you will have so many

4:09:51opportunities th you want AI right now

4:09:53everyone wants you're like a a mini

4:09:55celebrity amongst the right people

4:09:57because they're just clueless when it

4:09:59comes to AI and they want to be in on it

4:10:01so I'm going to be giving you guys a

4:10:03step-by-step breakdown of how to put

4:10:05together this for yourself. And I know

4:10:06that for those of you who put this into

4:10:07action this year, by like bang on middle

4:10:10of this year, you're going to have no

4:10:12more issues. You're never going to be

4:10:13worrying about getting a client again

4:10:15cuz you'll have a few thousand people on

4:10:17your email list. You'll have 10 20,000

4:10:19followers on your chosen platform and

4:10:21you will just be printing. All right, so

4:10:23that's

4:10:24been marketing 101, digital marketing

4:10:27101, organic organic content funnels.

4:10:30Um, rewatch this if you need to go make

4:10:32notes. Again, understanding cold, warm,

4:10:34hot, rented, and owned audiences,

4:10:37nurturing these key these key things,

4:10:39call to actions, awareness. Actually, I

4:10:42should have done more of these problems,

4:10:44but you get the idea. Problem one,

4:10:45awareness. Problem two, getting them

4:10:47into your owned audience. Problem three,

4:10:48getting them into book and conversion.

4:10:50So, it's been a bit of a freestyle one

4:10:53for you guys. Um,

4:10:56again, appreciate you all for the

4:10:58support recently. It's been incredible.

4:11:00Um, I I'm so fortunate to be in this

4:11:02position where I get to make a video and

4:11:04and help tens of thousands or hundreds

4:11:06of millions of people. Um, and yeah, I

4:11:09just hope you guys know that I'm I'm

4:11:10going to really keep pushing it this

4:11:11year. Me and my team are going all in on

4:11:13helping as many of you as possible

4:11:14because while there's massive benefits

4:11:16for you, there's also massive benefits

4:11:17for me and I, like I said, we get so

4:11:20many massive opportunities to meet

4:11:21because of how fast this brand is going.

4:11:23So, I just really appreciate all your

4:11:25support and I hope you know that me and

4:11:26my team are doing everything we can to

4:11:28keep helping you. and we've got a lot of

4:11:30cool stuff in the works for this year.

4:11:31So, um, yeah, that's all with the

4:11:36video. In this video, we'll be covering

How to Price Your Services

4:11:38the fundamentals of pricing your AI

4:11:40products and services, the common

4:11:42mistakes beginners make, and the exact

4:11:44steps to go from offering free projects

4:11:46initially to landing profitable deals

4:11:47down the line. So, we're going to be

4:11:49ripping through the slideshow here,

4:11:50which is going to be available as a free

4:11:51resource on my school community if you

4:11:52want to jump on there and grab it. So,

4:11:54let's get started. So, what are we going

4:11:55to be covering today? These are the

4:11:56topics. I'm just going to jump straight

4:11:57into them now. So firstly, why pricing

4:11:59matters? Why is it so important? Well,

4:12:01it's actually the foundation of your

4:12:02agency because we are running a business

4:12:04and you need to charge a certain amount

4:12:06in order to make a profit. Your price

4:12:08and the price that you charge out at

4:12:09needs to be more than the cost that you

4:12:11incur to deliver that service. That's

4:12:12how we make profit and that's how a

4:12:14business works. If you don't make

4:12:15profit, you don't really have a business

4:12:17or some big tech companies would say

4:12:18otherwise. But for businesses that we

4:12:20want to run, you need to make profit.

4:12:21And at a basic level, the pricing

4:12:23strategy you use determines how much

4:12:24profit you can make. Secondly, our

4:12:25pricing shows our value. So the amount

4:12:27that we're charging out tells clients

4:12:29how good our services are. Basically,

4:12:30the more we're charging, clients and

4:12:32people in general see price or or high

4:12:34prices as a proxy for value. So we

4:12:36assume that more expensive things are

4:12:37more valuable inherently. Thirdly, it

4:12:39shapes your work and your life as an

4:12:40agency owner. For example, your pricing

4:12:42strategy determines if you're going to

4:12:43be taking on one big project every few

4:12:45months or lots of little ones in order

4:12:47to get that revenue number that you're

4:12:48chasing. And also, we have things like

4:12:50retainer. So it really shapes the way

4:12:51that your business operates on a

4:12:52day-to-day. And finally, an effective

4:12:54pricing strategy is what is going to

4:12:55actually grow your business over time.

4:12:57Making sure you have enough profit so

4:12:58that you can reinvest into the key parts

4:13:00of the business that need it, marketing,

4:13:01product, team, etc. So the main thing

4:13:03you need to understand when you're

4:13:04pricing your AI services and solutions

4:13:06is what I call the value formula. So

4:13:08this is a combination of your skills and

4:13:10your experience. And those two added

4:13:11together is what determines your value

4:13:13and therefore how much you can charge

4:13:14for your solutions. So this is the frame

4:13:15that I want you to to look through. It's

4:13:17like okay, what skills do I have and

4:13:19what experience do I have? Skills are

4:13:20your technical abilities like building

4:13:22chat bots on voice flow, automating

4:13:24processes with make.com, etc. All the

4:13:26other stuff I teach on this channel and

4:13:27then your experience is the actual

4:13:29practical wisdom gained from real

4:13:30projects and delivering that in the real

4:13:32world by actually taking your skills and

4:13:33applying them in the real world to build

4:13:35AI solutions for businesses all for

4:13:37yourself. You gain a much deeper and

4:13:38richer understanding of what it actually

4:13:40takes to make a successful AI

4:13:41implementation in the real world. And so

4:13:43the experience that you gain through

4:13:45delivering multiple projects ideally in

4:13:46the same niche or within a a similar

4:13:48similar area. Um the experience you gain

4:13:50increases your value to the client by

4:13:52reducing the project risk because you've

4:13:54been through it before and you see the

4:13:55pitfalls and and the potholes along the

4:13:57way. Um you can speed up the

4:13:58implementation because you can sort of

4:14:00go straight through and you don't need

4:14:01to hit all those potholes along the way.

4:14:03And finally, you can better align the

4:14:04solutions with the business needs from

4:14:06your experience. So the more experience

4:14:07you gain, that's the way that you can

4:14:09increase your value. And of course, the

4:14:10more skills you have, either yourself or

4:14:12within your organization by hiring other

4:14:14people. So the skills and the experience

4:14:15is what goes together to determine your

4:14:16value. And so now that you understand

4:14:17this value formula, just hold that

4:14:19thought cuz we'll be back to it in a

4:14:20second. Then we get into pricing basics.

4:14:22So we have products and services. And

4:14:24services are typically charged by time.

4:14:25So you go to a legal professional and

4:14:27you charge or you ask for, hey, I need

4:14:29these legal services. They're going to

4:14:30bill you by time. Like how many hours is

4:14:32it going to take for me to do the thing

4:14:33you need to do? Whereas with products,

4:14:35it's done by perceived or real value. So

4:14:37if you sell me a an iPhone or something,

4:14:40I'm not going to be looking at the

4:14:40number of hours it took you to build it.

4:14:42There's a perceived value of that iPhone

4:14:44of value that I can get out of it. And

4:14:45that's what I'm willing to pay for. So

4:14:47products and services priced very

4:14:48differently. And this is important

4:14:50because if you're selling a product and

4:14:51you want to show value, you need to

4:14:53provide some data on how that value was

4:14:55created in a business setting at least.

4:14:57So, if I'm selling a AI solution to a

4:14:59business, they want to see, okay, well,

4:15:01if you're putting this website chatbot

4:15:02on my my landing page, how many people

4:15:05are going to engage with it? How many

4:15:06people are going to provide their lead

4:15:07information? How many people have based

4:15:09on my close rate, is that going to

4:15:10convert into into closed deals? And how

4:15:12much revenue am I going to get? So, what

4:15:13is the the data that shows that there is

4:15:15some value attached to this? Because if

4:15:17there's no data showing that someone's

4:15:18going to use it, then you're kind of

4:15:19just taking a stab in the dark and

4:15:21making up numbers about the value that

4:15:22this product or that this thing will be

4:15:24able to create for the business owner.

4:15:25So in order to prove or communicate

4:15:27value, you need data in most cases. But

4:15:29beginners when you're starting an AI

4:15:30automation agency, you don't have any

4:15:32firsthand data or proof of results.

4:15:34Therefore, starting out with the AI

4:15:36development services rather than trying

4:15:38to go for products immediately is best.

4:15:40So services, you can charge it based on

4:15:42your time or the time of your developer.

4:15:44So you can start off with no code and

4:15:45low code tools and operate as an agency

4:15:47where you offer your services.

4:15:48Basically, we can build this thing. and

4:15:50we're going to calculate how much time

4:15:52it's going to take for us and then we're

4:15:53going to give you a proposal or a quote

4:15:54based on those hours rather than this

4:15:56product and value based on which you can

4:15:58we'll talk about later. So getting onto

4:16:00your first project as a beginner with an

4:16:01AI automation agency you'll either be

4:16:03self-d delivering or you'll be

4:16:05delegating it to a developer. So I

4:16:06recommend that you start out by

4:16:08delivering them yourself if possible. It

4:16:10gives you a chance to actually build

4:16:11that experience for yourself rather than

4:16:13relying entirely on other people. it is

4:16:15not not a great fit for some people. But

4:16:17ideally, you start off with some

4:16:18straightforward projects by posting say

4:16:20in my school community. Easy way to get

4:16:22your first client is just going to my

4:16:23school community and post, hey, I know

4:16:24how to do this or this is what I've been

4:16:26building recently. Anyone interested in

4:16:27something similar? You'll be shocked how

4:16:29much attention you get and how easy it

4:16:30is to get your first client there. I've

4:16:32heard of so many stories like that in

4:16:33the free community. Anyway, so you want

4:16:34to be getting started with these

4:16:35straightforward projects that you can

4:16:36deliver yourself using no code and low

4:16:38code tools ideally so you don't have any

4:16:40cost associated because if you're

4:16:41delivering yourself, you can go to

4:16:43someone and say, "Hey, I'll work for you

4:16:44for free so that I can build my

4:16:45experience and then become more

4:16:46valuable." And this ties back into the

4:16:48value formula that we mentioned earlier

4:16:49where initially you have some skills.

4:16:51Yes, you might spend a month or two

4:16:52learning uh different AI automation

4:16:54tools, but you have no experience. So

4:16:56that limits your value. Therefore, you

4:16:57should be going in to find these

4:16:58straightforward projects where you can

4:17:00offer your services for free in exchange

4:17:01for getting experience, which in the

4:17:03long run will make you much more

4:17:04valuable. So, starting off with some

4:17:06straightforward projects you can deliver

4:17:07yourself using no code and low code

4:17:09tools is ideal so that you don't have

4:17:10any cost. And because you don't have any

4:17:12cost, you're not needing to take money

4:17:13from the client to stay at least at

4:17:15break even. So, do your first few

4:17:16projects for free if possible if you are

4:17:18self-d delivering to build your

4:17:20experience in order to become more

4:17:21valuable. However, if you must hire and

4:17:24you're one of those people who just

4:17:25refuses to do a bit of tinkering

4:17:27themselves and get a bit of hands-on

4:17:28experience, then you should be offering

4:17:30your services at cost in my experience

4:17:31and in my opinion because since you

4:17:33don't have any experience delivering

4:17:34these kind of projects, it's a bit

4:17:36richer for you to go to these clients

4:17:37and say, "Hey, look, I want you to pay

4:17:38me to learn on your business, which is

4:17:40basically what you're saying. So, it

4:17:41does depend on your situation. If you

4:17:42bring on a developer who has a ton of

4:17:44experience, then technically the

4:17:46experience for your entire organization

4:17:47goes up and the skills also and

4:17:49therefore you become a little bit more

4:17:50valuable. But as a rule of thumb when

4:17:52you are getting started, even if you're

4:17:53delegating and hiring a developer, then

4:17:55I recommend that you offer your services

4:17:56at cost just to take the pressure off

4:17:58your back as well. Communicate that

4:17:59clearly with your first client or a

4:18:01couple of clients. Say, "Hey, look,

4:18:02here's what we've built in the past or

4:18:04here's what we've built for ourselves."

4:18:05Just any kind of proof you can get to

4:18:06show that you know what you're talking

4:18:07about and that there's a reasonable

4:18:09likelihood of you actually seeing this

4:18:10thing for you as a beginner. But coming

4:18:12in and offering your services at cost

4:18:13and being like, "Hey, I have my

4:18:14developer. I'm willing to do this deal

4:18:15for you at cost because I value your

4:18:17testimonial more than the money that

4:18:18this will make me." And a really key

4:18:20point here at the end, which is by

4:18:21offering them projects at cost, clients

4:18:23will be more lenient with you if things

4:18:25fall short of your expectations, which

4:18:26as a beginner, delivering your first few

4:18:28projects is highly likely because you

4:18:30have you you sell them the dream just to

4:18:32get the the deal over the line. And

4:18:33unfortunately, you realize it's a lot

4:18:35more difficult to deliver that than uh

4:18:36than you expected. So, it's completely

4:18:38normal, but the issue is exacerbated if

4:18:40you've charged them a whole bunch of

4:18:41money and you were going to be trying to

4:18:42pocket a few, thousand starting out. And

4:18:44this kind of thing of rushing to the

4:18:45money and trying to skip this learning

4:18:46phase and going straight to selling and

4:18:48making as much money you can out of this

4:18:50AI space is really one of the biggest

4:18:52issues that I'm seeing in beginners

4:18:53approaching this. I was on my free

4:18:54community Q&A in the school school

4:18:56community this morning and there was

4:18:57this guy who came up on stage and he was

4:18:58saying I'm going to be selling gyms this

4:18:59this and this. I was like well have you

4:19:01what have you done? What are your baby

4:19:02steps that you've done to get to this

4:19:04point of selling this big expensive

4:19:05package to them? It's like oh well like

4:19:07no I've just I've just started like how

4:19:08how hard can it be? But if you're a

4:19:11beginner, just take baby steps and focus

4:19:13on learning before earning because if

4:19:15you try to jump to the earning part,

4:19:17you're just going to get chewed up and

4:19:18sped out by this AI space. And I I

4:19:19promise you that. So taking it slow and

4:19:21zooming out and seeing this is a long

4:19:22process where you need to build your

4:19:23skills and expertise by doing regular

4:19:25deliveries, even if that means taking

4:19:27less money up front so that you can make

4:19:29more money later on. So it's about

4:19:30staying in the game, not maxing things

4:19:32out immediately as soon as you get in

4:19:33here. So after delivering a few free or

4:19:35lowcost projects just to get up your

4:19:37experience, you're now becoming valuable

4:19:39enough that you can start to charge for

4:19:40your services. And when you get to this

4:19:41point, the pricing structure and

4:19:43strategy that I recommend for all

4:19:44beginners is what's called cost plus

4:19:45pricing. This is what I started off with

4:19:47my own agency, Morningington.AI when we

4:19:49were first getting started back in early

4:19:502023. So after you deliver a few free or

4:19:52cost projects, your experience has

4:19:54increased. Therefore, you are more

4:19:55valuable. If you haven't already hired a

4:19:57developer, now is a good time to do so.

4:19:58And so from now on, you should be adding

4:20:00some profit to your deals with what's

4:20:01known as cost plus pricing. In order to

4:20:03do cost plus pricing, you need to

4:20:05estimate the time and resources required

4:20:07to deliver a client's project. So they

4:20:08come to you or you reach out to them and

4:20:10offer a service. And then once you've

4:20:11fully scoped the project and determine

4:20:12what they need and what you're going to

4:20:14need to build, you can do an estimate of

4:20:15the time and resources required and how

4:20:17much that's going to cost you. And then

4:20:18you need to get your developers hourly

4:20:20rate that you've hired on to take these

4:20:21projects. And that may be from $30 to

4:20:23$50 an hour depending on how skilled

4:20:24they are and how experienced. And then

4:20:26you can apply markup to get your final

4:20:27cost. So, for example, if the project

4:20:28was estimated to take 60 hours of dev

4:20:30work with your one dev and he or she

4:20:32costs $50 an hour, then when we multiply

4:20:34these two together and then add our

4:20:35markup of say 2x or 3x, I recommend that

4:20:38you start off with 2x. It's what we did

4:20:39at my agency. So, you just basically get

4:20:40the developer cost and double it. That's

4:20:42a good starting point for starting to

4:20:43actually make profit on your on your

4:20:45deals. And then you can start to

4:20:46increase that to 3, four, 5x. We

4:20:48eventually got up to six or 7x for some

4:20:50of the larger projects we did. Um, you

4:20:52can just continue to increase that and

4:20:53that's going to give you a nice healthy

4:20:54margin. you've got the experience needed

4:20:55to justify you charging these prices.

4:20:57When it comes to signing the deal and

4:20:59getting the first uh invoice paid and

4:21:00getting the money in your account,

4:21:02there's a few different ways that you

4:21:03can structure the payment terms. The one

4:21:04that I started out with and the one I

4:21:06recommend to most beginners, um

4:21:07particularly on projects that are kind

4:21:08of under 20 to $30,000 is a 50% upfront

4:21:12and 50% on completion structure. Um,

4:21:14this structure is really good when

4:21:15you're starting out because if you're

4:21:16just doing a 2x markup, like I said,

4:21:18like you've got $1,000 of cost and then

4:21:20$2,000 um price that you're charging up.

4:21:22Um, when you take that 50% up front,

4:21:24you're immediately covering what your

4:21:25expected costs are going to be. So,

4:21:27ideally with the 3x markup, you get a

4:21:29little bit more buffer and you're almost

4:21:30always in profit. Um, but with this

4:21:32structure, if you take that 2x markup,

4:21:34you get the 50% up front, you've covered

4:21:35your cost, and then 50% on completion.

4:21:37But, as I say here, make sure you set

4:21:39the terms very clearly in the contract

4:21:40on what is defined as completion. So,

4:21:42that's a whole other story. I can do a

4:21:44video on contracts if you want, but um

4:21:46make sure that you've clearly stated

4:21:47what the end uh deliverable or end

4:21:49result is so you don't get pissed around

4:21:51on that final payment. And just to

4:21:52reiterate, the most important thing out

4:21:53of this whole video that I want you to

4:21:54take away is that experience is more

4:21:56valuable than money when you're starting

4:21:57out. It's really the only way to succeed

4:21:59in this long term. And if you don't

4:22:01understand that and you don't change

4:22:02your approach, you're going to run into

4:22:04failure after failure after failure

4:22:05because you're trying to shoot too high

4:22:07for your current skill level and then

4:22:08basically causing a whole bunch of

4:22:10issues for yourself and your business

4:22:11and your clients, too. Make sure that

4:22:12you're taking on lowc cost or free

4:22:14projects to build case studies and

4:22:15experience early on. Collect

4:22:16testimonials from these early projects

4:22:18and the data of before and after of the

4:22:21real impact that you're providing to

4:22:22your clients so that you can prove that

4:22:24you can create value for other

4:22:25businesses, too. Um, and my final point

4:22:27here is that every idiot right now

4:22:28thinks that they're an AI expert just

4:22:30because they play around with chat GPT

4:22:31and Claude. Um, despite having no

4:22:33experience of actually delivering these

4:22:35things for businesses. So successful

4:22:37deliveries early on and even into the

4:22:38later stages of your AI automation

4:22:41agency journey. These successful

4:22:42deliveries are really the gold in the

4:22:44space and should be your number one goal

4:22:46early on. It's just can I get a handful

4:22:48of successful deliveries under my belt

4:22:50to see things through to completion to

4:22:52work with clients and get experience in

4:22:53dealing with them and then have the data

4:22:55that I can use to go and increase the

4:22:56prices of my services as you continue to

4:22:58take on more clients. Quick recap of the

4:23:00key takeaways in this video. We have

4:23:01experience coming first. Prioritize

4:23:03gaining experience and case studies over

4:23:05immediate profits, which is easy to do

4:23:06as a beginner. Take free or lowc cost

4:23:08projects to build experience and

4:23:10ultimately build trust and proof.

4:23:12Secondly, cost plus pricing. So after a

4:23:14few successes, you can add profit to

4:23:15your rate by using cost plus pricing

4:23:17with a 2x markup initially. Thirdly,

4:23:19structure your deals with a 50% upfront

4:23:21and 50% on completion uh structure to

4:23:24cover cost and reduce risks initially.

4:23:25Number four, experience plus skills

4:23:27equals value. Your skills and experience

4:23:29define your value. Increase your rates

4:23:30as you grow. And finally, keep it

4:23:32simple. Start with basic no code or low

4:23:34code projects depending on your skill

4:23:36level. If you're a developer coming and

4:23:37obviously you can jump up a bit higher

4:23:38in order to minimize your costs and

4:23:40reduce the complexity of your builds and

4:23:42really accelerate your learning before

4:23:43you start tackling complex projects

4:23:45which are definitely out there. And this

4:23:46video is only really just scratching the

4:23:47surface on AI automation agency pricing.

4:23:49There's a lot more to it. Retainers

4:23:51versus upfronts, pricing per milestone,

4:23:53cost plus versus valuebased pricing,

4:23:54data collection for price maxing and

4:23:56more. There's so much left to it. I

4:23:58really had to exclude a lot out of this

4:23:59just to keep this short and sweet for

4:24:01beginners. But if you want to learn

4:24:02about these topics, you can firstly

4:24:03subscribe to the channel because I might

4:24:04make some videos on it later. Actually,

4:24:06drop a comment below if you want me to

4:24:07make any of those videos or these parts

4:24:08of it that you're particularly

4:24:09interested in. And if you haven't

4:24:10already, join my free school community,

4:24:12which is my first link in the

4:24:13description below where I've got a free

4:24:15course on starting an AI automation

4:24:16agency that I've just released. So,

4:24:18everything you need to start your AI

4:24:19automation agency is in there. So, if

4:24:21you haven't already joined the school,

4:24:22first thing in the description. That's

4:24:23all for the video,

4:24:25guys.

4:24:27Over the past 18 months of running my

Contract Template

4:24:30own AI automation agency, Morningside

4:24:32AI, I've sent out literally hundreds of

4:24:34contracts and only ever had one dispute

4:24:36with a client. And that dispute was

4:24:37resolved positively in our favor thanks

4:24:40to a rockolid contract. In this video,

4:24:42I'll walk you through the exact contract

4:24:43template that I used to get Morningside

4:24:45AI off the ground in early 2023 and show

4:24:48you how you can use it to start your own

4:24:49AI automation agency safely. Firstly,

4:24:51I'll debunk the biggest contract myths

4:24:53that really trip up beginners early on.

4:24:56And then we'll dive into the template,

4:24:57breaking down each section and how you

4:24:58can modify it for your own clients and

4:25:00your own projects. So, what exactly is a

4:25:02contract and why do we need them? So,

4:25:03contracts are a legally binding

4:25:04agreement between yourself and a client.

4:25:06And it's a way of both protecting your

4:25:07client and also protecting yourself and

4:25:09very clearly stating what the scope of

4:25:10work is going to be and what you're

4:25:12building for them, what compensation you

4:25:13expect, etc. So, there's really a couple

4:25:15key parts with that you're going to see

4:25:16on the template in a second. But, it

4:25:17comes down to things like the scope of

4:25:19work, what you're actually expected to

4:25:20be delivering, what are the

4:25:22deliverables. You have the compensation,

4:25:23the total amount, and then the payment

4:25:25terms. Say it's going to be $5,000 split

4:25:27into two payments, 50% up front, and 50%

4:25:30um at completion. And contracts often

4:25:32need to include things like what's

4:25:33expected from the client, not just your

4:25:35deliverables and the things that you are

4:25:36delivering, but hey, we need access to

4:25:38your software. We need access to your

4:25:40team. We need responses and and stuff

4:25:42back from their end. we need you to

4:25:43provide your API key, etc. So, not only

4:25:46is it to clearly lay out what you're

4:25:47expected to do, but also the agreement

4:25:49on the client side and what they're

4:25:50bringing to the table in terms of

4:25:51compensation, the payment structure and

4:25:53things that they need to provide to you

4:25:54for successful delivery of the scope of

4:25:56work within the contract. So, the most

4:25:58important thing you need to understand

4:25:59as a beginner when it comes to contracts

4:26:01and getting into business is that at the

4:26:02end of the day, a contract is just a

4:26:04piece of paper. Yes, they are legally

4:26:06binding and technically you can if they

4:26:08have signed it and you have signed it

4:26:09and there's a clear breach of the

4:26:10contract, you can go and try to enforce

4:26:12the law on them and say they broke the

4:26:14contract. But there is also an aspect of

4:26:16practicality involved where say if this

4:26:18is a $5,000 contract, the effort for you

4:26:20to go and seek the the power of the law

4:26:22or go to the government and try to get

4:26:23this enforced and saying, "Hey, they

4:26:24haven't paid me my second $2,500 the

4:26:27second part of the contract." It is just

4:26:28not worth the effort on your part. you

4:26:30would likely need to spend a ton of

4:26:31money in legal fees just to be able to

4:26:34go and reclaim that $2,500 from them.

4:26:36So, important thing, most important

4:26:38thing you must understand with

4:26:39contracts. They're just a piece of

4:26:40paper. People break contracts all the

4:26:42time and there's basically nothing you

4:26:44can do. So, with this in mind, it's

4:26:46like, why would I actually be bothering

4:26:47with contracts? Well, you need to have

4:26:48that in place because by them signing

4:26:50it, you're basically giving the value of

4:26:52their word. And this is what you need to

4:26:53be looking out for when you are signing

4:26:55your first few clients is that shady

4:26:57people with a contract, they'll just

4:26:58throw that up and and walk away. You

4:27:00need to do a bit of a character

4:27:02assessment of your client and being

4:27:03like, is this person someone who is

4:27:05going to once once they put that word

4:27:07and the word and their signature on

4:27:08their document, do I trust that they're

4:27:09going to fulfill their their side of the

4:27:11bargain here? So, there is this

4:27:12interesting human element to contracts

4:27:13early on where you have to essentially

4:27:15weigh up the person and say, do I trust

4:27:17this person to follow through on what

4:27:18they say? But there's also another

4:27:19aspect of it of how can I structure this

4:27:21contract in a way that protects me from

4:27:23the the darker side of human nature

4:27:25which exists in all of us in varying

4:27:27degrees. But how can I structure this

4:27:28deal so that worst case scenario I'm

4:27:31still covered or at least covering my

4:27:32cost. And that's what we're going to

4:27:33jump into in this contract template in a

4:27:34second. But that's what you need to

4:27:36understand is that contracts are a piece

4:27:37of paper. It's only as strong as the

4:27:39person's word when you are dealing with

4:27:40low ticket well relatively low ticket

4:27:42contracts like when you are starting out

4:27:44even as you get up to say $50,000 or

4:27:46$100,000 projects. the burden for you to

4:27:49go and try to enforce that contract or a

4:27:51breach of contract is so great that it

4:27:53is still not worth it for you to do so

4:27:55only when you're dealing with multiple

4:27:56six-figure contracts it really becomes

4:27:58feasible for you to do that. Um those

4:27:59are instances of where you believe that

4:28:01they have breached the contract and you

4:28:02want to pursue them but they can also

4:28:04claim that you have breached the

4:28:05contract in their in their eyes and they

4:28:07can come and pursue you for it. So you

4:28:09need to have a solid contract template

4:28:10that you work from and you need to

4:28:11clearly define the scope of work which

4:28:13is what I'm going to walk you through

4:28:13right now. Here on screen is the exact

4:28:15contract that we used to get Morningside

4:28:16AI off the ground back in early 2023. So

4:28:18I'm going to walk you through the

4:28:19different parts of it now so you know

4:28:20how to use it and modify it and I'll

4:28:22tell you how to get access to it. So we

4:28:23have the software development agreement.

4:28:25We have the parties. So it's an

4:28:26agreement on the contract date. You see

4:28:28all these square brackets. This is what

4:28:29you need to replace. And here we have

4:28:31the software development company which

4:28:32is yourself, you, your name or your

4:28:34company name if you're just a sole

4:28:35proprietor and you're just doing this on

4:28:37your name for now. Then the address of

4:28:39your company and you're the consultant

4:28:40as you refer to later in the document.

4:28:42Here is where you need to send it over

4:28:43to your client to fill out their name or

4:28:45their company name, their address, etc.

4:28:46And so then we get to the services

4:28:48section, which is really the most

4:28:49important part for you and making sure

4:28:50that you clearly define the scope and

4:28:52what you're responsible for delivering.

4:28:53So here's an example of something you

4:28:54might fill out here. Um, build a MVP

4:28:56custom launch chatbot that takes

4:28:57prospects through a series of questions

4:28:59moving towards an objective, eg booking

4:29:00a call or purchasing a service, and can

4:29:02provide support regarding the company's

4:29:03products, general information, da da da.

4:29:05The application will be deployable to a

4:29:07website widget in the righthand corner

4:29:08of the web page. This MVP will be for

4:29:10one specific client of the client and

4:29:12will have to be duplicated and adjusted

4:29:13in future milestones if alternative

4:29:15versions are needed. So this is what's

4:29:16defined as the scope of these services

4:29:18here and it's helpful to do this but

4:29:20also you can add in some bullet points

4:29:21as well. This is for a very basic build.

4:29:23Um you can provide a lot more detail and

4:29:25very clearly state out the milestones

4:29:26and the deliverables required. So then

4:29:28as I mentioned you get onto the

4:29:29requirements from the client. So you can

4:29:30put in here like we need access to this

4:29:32or this. We need your API key. We need

4:29:34you to join our Slack and answer their

4:29:35onboarding questionnaire etc. The term

4:29:37here is pretty straightforward. when

4:29:38you're going to start the project and

4:29:39start building for them and when it's

4:29:41going to end. You can select one of

4:29:42these on the date and then add in a date

4:29:44that you want to end on. There's other

4:29:45options here you can use. This one here

4:29:46is the main one you're going to be

4:29:47using. Then compensation is how you get

4:29:50paid in consideration for the services

4:29:52provided. The consultant is to be paid

4:29:53in the following manner uh per hour,

4:29:55which is likely not what you're going to

4:29:57be doing per job contract value. So you

4:29:59can add in say uh $2,000 here in total.

4:30:02And so this is the total compensation.

4:30:04And then you have the payment terms down

4:30:06here. So, the consultant shall be paid

4:30:07in accordance with section 4 on a

4:30:09weekly, monthly, quarterly basis, etc.

4:30:11And then I have other as an option down

4:30:13here, which you'll typically want to go

4:30:14when you're starting out, uh 50%

4:30:18upfront, 50% on completion. And these

4:30:22payment terms are great to get started.

4:30:23You get your money up front to cover

4:30:25your costs, and then 50% when you

4:30:26actually deliver the value you said

4:30:27you're going to deliver. Um, I've just

4:30:29done a whole video on pricing, which if

4:30:30you haven't seen it, if you're a

4:30:31beginner getting started, you really

4:30:32need to understand it. I'll put it up

4:30:33here somewhere. um really important you

4:30:35understand how to properly price your

4:30:36services when you're getting started.

4:30:38Then we have a quick section on

4:30:39expenses. Um so either you're going to

4:30:40be responsible for all of them um in the

4:30:42delivery or you can opt to be reimbursed

4:30:44with the client for some expenses. So

4:30:46you can say hey look we'll set it up on

4:30:48our service initially and we'll set it

4:30:49up on our API key but at the end of the

4:30:51project we're going to expect you to

4:30:52reimburse us for the cost incurred to do

4:30:54that. So in most cases um if you're just

4:30:56doing a upfront build where you build it

4:30:58and then sort of leave um you're going

4:31:00to be responsible for all expenses and

4:31:02you include those expenses as part of

4:31:03your pricing. Then you have a dispute

4:31:04section. So you can change the

4:31:05jurisdiction to be in your country that

4:31:07you'd want to be handling any disputes

4:31:09in legal notice and then a lot of other

4:31:11legal jargon. Then again you've got a

4:31:12governing law section where you need to

4:31:14change this to your country or your

4:31:15state. Then of course down the bottom

4:31:16here we have a section for your

4:31:17signature. So your signature here then

4:31:19the clients you can send this over

4:31:21docyign is typically how you do it. I

4:31:22think you do get 10 contracts for free

4:31:24with docyign. So you can sign up with

4:31:25docyign. Put a link down below. Not

4:31:27affiliated. Um but you can also just

4:31:28send it to them um and get them to sign

4:31:30it on the on their PDF viewer on their

4:31:31Mac or whatever they're using. Um but

4:31:33yeah, docyign generally comes across a

4:31:35lot more professional because this kind

4:31:36of email they get and then they sign it

4:31:38and it's all feels very professional. So

4:31:39using this contract and using docyign is

4:31:41how we got morning side AI started. And

4:31:43of course I do have to add in a

4:31:44disclaimer here that I am not a legal

4:31:46professional. Um this is what worked for

4:31:48us. I'm simply giving a recount of what

4:31:49we have done and what worked for Morning

4:31:51Side in our early stages. And this is

4:31:52the exact template that we use to get

4:31:54off the ground. So just as a final note

4:31:55on contracts before we wrap up. I know

4:31:57it's something that beginners can get

4:31:58quite hung up on initially. Um, and I

4:32:00really want you to just put that whole

4:32:01legality stuff. I need to set up a

4:32:03company. I do this all official. Need to

4:32:05have all these thousand contracts and a

4:32:06lawyer involved. You just need to start,

4:32:09man. You just need to take the resources

4:32:10that I gave you, like this contract. It

4:32:12worked for us. It can work for you. I

4:32:13know that. Like I said, contracts are

4:32:15really just a formality. This is all you

4:32:17need to get off the ground. And then

4:32:18later on, you can hire your lawyer once

4:32:19you've got some cash flow coming in and

4:32:21you can fully rethink it and make sure

4:32:22it's really tailored to what you're

4:32:23offering. But this is enough to get

4:32:25started. Forget that whole fancy legal

4:32:27setup rubbish. You just need to focus on

4:32:29getting people to give you money. That's

4:32:31all it is. That's all starting a

4:32:32business is, is getting people to give

4:32:33you

4:32:36money. Today, I want to make a quick

How to Scope a Project

4:32:38video breaking down the three most

4:32:40important questions that you need to ask

4:32:42before taking on any AI projects to your

4:32:44agency. Um, now these questions that

4:32:46myself and my team at Morningside have

4:32:48had to learn by trial and error. And

4:32:50this is what we've come to and continue

4:32:52to use to this day after coming up with

4:32:53it around a year ago, this time last

4:32:55year. um and it continues to be the set

4:32:57of questions that we ask during our

4:32:58sales process and also as soon as we get

4:33:00into the actual building of the project.

4:33:02Um that's the the information that we

4:33:04need to collect. Very important to

4:33:05understand this if you're looking to

4:33:06build an AI agency and be successful in

4:33:08this space. So let's get into it. So

4:33:10three key questions starting off. These

4:33:12are things we'll typically ask during

4:33:14our sales process initially. And this is

4:33:16really how myself and my team figure out

4:33:19what a project is about and what the

4:33:21goal is, what who the end users are. And

4:33:23and these three questions are really

4:33:24what allow us to connect all these

4:33:26pieces together. So the first thing up

4:33:27here is

4:33:30data. Now I know data isn't a question,

4:33:32but what data is this system or is this

4:33:35build going to be using or integrating?

4:33:37Um because we're using LLMs and and and

4:33:39chatbt APIs, there's some kind of data

4:33:41that's going to be flowing through and

4:33:42hitting that API at some point and we're

4:33:44going to be manipulating it. We're going

4:33:45to be doing something with it. It might

4:33:46be a custom knowledge chatbot. It might

4:33:48be an automation where we're passing

4:33:50some kind of data through it. we need to

4:33:52know what data they're going to be using

4:33:54in the system or what we're going to be

4:33:56manipulating with our AI tasks and with

4:33:58our functions. So, first things first is

4:34:00data. What data are you using or what

4:34:02data is going to be built into the

4:34:03system? Um, next we have

4:34:09inputs. So, what are the expected inputs

4:34:11of the system? Um whether that's an

4:34:13email classification system where it's

4:34:14going to have emails from XYZ inbox that

4:34:17are going to be moving through it or

4:34:19typically in the form of chat bots and

4:34:20agents that you build. Who who's the end

4:34:23user of this? How are they actually

4:34:24going to be sending questions to it?

4:34:25What are they expecting to get out of

4:34:26it? This is really important to to

4:34:29understand how this data is going to be

4:34:30used. Um and then finally um you may

4:34:33have guessed it, we have uh

4:34:37outputs. So with this we get a nice

4:34:41little

4:34:45triangulation which allows us to

4:34:48understand what this project is and by

4:34:50triangulating these different parts um

4:34:53we understand what they're looking to

4:34:54build because if you know what data

4:34:56they're getting they know what questions

4:34:57are being asked and you know what

4:34:58they're trying to output then you have a

4:35:00full picture of okay this is what the

4:35:03system is doing I'm using AI or language

4:35:05models to convert this data given this

4:35:07prompt into this output. Now, this may

4:35:11look like in the form of okay, I'm going

4:35:12to be using CSV or I'm going to be using

4:35:16PDFs. Okay, well, what are in those

4:35:18PDFs? Is it diagrams? Is it going to be

4:35:20just all text? What is the content of

4:35:22the PDF? And how big are they? All these

4:35:24kind of questions that you need to ask

4:35:25about the data that's going into the

4:35:27system. And then for the inputs, we'll

4:35:28just ask for a list.

4:35:32give us a list of 5 to 10 expected

4:35:35inputs that the user or end user would

4:35:37end up giving to the system. Okay,

4:35:39great. We've got a list of those. Okay,

4:35:41now can we also get a list of

4:35:44outputs? If we get a list of inputs and

4:35:46a list of outputs and then we know the

4:35:48data that we need to put in, we can then

4:35:51run some kind of test. Sorry, there's

4:35:54another triangle, but this is supposed

4:35:55to be the system that we put into it.

4:35:57Um, it's flowing the wrong way, but you

4:35:58get the idea. we can put the inputs into

4:36:02this and test the outputs. So we use

4:36:04these questions at various stages of our

4:36:05client life cycle. So in the discovery

4:36:07call, we'll ask these questions. What

4:36:09data is the system going to be using or

4:36:10manipulating? What are the expected

4:36:12inputs? What are some of the expected

4:36:13outputs that you want from that data

4:36:15given these inputs? We get the full

4:36:17picture. Um but then we can go into our

4:36:19exploration phase, which I've covered in

4:36:20the in the earlier video that I

4:36:21mentioned. And the exploration phase is

4:36:23a $800,000 $2,000 milestone. And we've

4:36:27continued to increase the price over

4:36:28time and you guys can too. Uh but it's a

4:36:30a quick milestone that allows us to say,

4:36:32"Okay, give us a sample of the data.

4:36:34Give us some sample inputs. Give us some

4:36:35sample outputs. Let us mock up a quick

4:36:37system, a prototype of the system." Cuz

4:36:39with LLM apps, it's usually fairly easy

4:36:41to get a prototype up or at least a

4:36:42proof of concept that shows, okay, yes,

4:36:44we can achieve this or we can get to

4:36:46close enough to the end result that we

4:36:48can be confident in in the outputs or or

4:36:50in the final result being there if we

4:36:51put in a bit of extra work. So we

4:36:53collect the data, we collect the inputs

4:36:54and outputs. We run a little exploration

4:36:56milestone and then we can actually do

4:36:57some cosign similarity

4:37:00testing to determine if we're able to

4:37:03make this thing work. So yes, we've had

4:37:04on the discovery call, we've learned

4:37:06about it. Is this something like

4:37:07initially is this a project that we're

4:37:09interested in taking on. Is this data

4:37:11too tricky? Is it CSV or is it PDS with

4:37:13images in it? Is this data too tricky

4:37:15for the current technology? So if it's

4:37:17not, then we say, okay, sorry, we're not

4:37:18interested in that project. But if they

4:37:20get past step one and they get they

4:37:23become a client. Okay, now we have this

4:37:25discovery milestone which is step two.

4:37:26Okay, we can do this little test. Does

4:37:29this does these inputs and the data are

4:37:30we able to get a proof of concept or or

4:37:32prototype up? Okay, yes, we've moved

4:37:34through that. Okay, now we're into stage

4:37:36three, which is the actual build and we

4:37:38need to go through and flesh this thing

4:37:39out and really get down to this desired

4:37:41set of outputs. And we build these into

4:37:42the contract. This concept of these

4:37:44three questions that we ask to get a a a

4:37:46holistic idea of the project that we're

4:37:47taking on is not just limited to to this

4:37:50stuff here. It's actually part of a

4:37:52broader broader issue and

4:37:54and thorny part of of running these AI

4:37:57agencies and building AI solutions to

4:37:59businesses and that

4:38:01is expectation management. And this is

4:38:05something that continually will rear its

4:38:07head in your journey and continue to

4:38:10cause issues if you are not absolutely

4:38:12brutal on your attempts to squash it and

4:38:15shut it down and get yourself and your

4:38:17client on the exact same uh eye level of

4:38:21of what this project and what the

4:38:22project will look like in its final

4:38:23form. So when it comes to expectation

4:38:25management, those three questions are so

4:38:27key cuz initially you're going to be

4:38:28able to say yes or no, we can do the

4:38:29project. Great on the discovery call,

4:38:31sales call, whatever you want to call

4:38:32it. That gets you into the exploration

4:38:34phase when you can say okay now we're

4:38:35going to try to do a prototype test this

4:38:37see if we can get the kind of outputs we

4:38:39want using coine similarity check that

4:38:40they're similar enough then we can move

4:38:42into the final project but before you go

4:38:44any further you need to really be

4:38:46careful about setting these expectations

4:38:48correctly which is using the cosine

4:38:49similarity test so that's one of the

4:38:51techniques we use cosine so cosine

4:38:53similarity test during their exploration

4:38:54phase and that's going to let them know

4:38:56hey these are the kind of outputs we can

4:38:58get from this exploration phase we did

4:39:00you show them very very clearly and we

4:39:02do this morning side every time do the

4:39:03exploration, get the proof of concept,

4:39:05get the prototype, generate a set of

4:39:07outputs, hop on a call with the client

4:39:08and say, "Are you happy with these

4:39:10outputs?" Everything is based on

4:39:12language. Everything is subjective and

4:39:13they will have opinions and feelings.

4:39:15And again, you can't build a business

4:39:16based on the the whims and feelings of

4:39:19your clients. You need to have something

4:39:20more solid than that or you're going to

4:39:22be dead in the water. So co similarity

4:39:24test at the end of that exploration

4:39:26showing that yes we've met the input and

4:39:27output requirements to to be similar but

4:39:30also showing it to the client and

4:39:31getting feedback and saying hey what do

4:39:33you think of this this is going to be

4:39:34what it looks like in the final version

4:39:36can you please confirm that this is what

4:39:38you're happy with and that's what we're

4:39:39going to use based on the uh the final

4:39:41contract is going to be the results like

4:39:43this but more recently and something I

4:39:45really want to introduce to you guys now

4:39:46as as myself and the team at Morningside

4:39:48have just started to experiment with it

4:39:50but also mock-ups

4:39:56where the client will see the end result

4:39:58in some kind of graphical mockup of of

4:40:00what the display will be like because

4:40:02yes, it's one thing to get the outputs,

4:40:04but often times you'll send them back

4:40:06the outputs and and something that

4:40:07doesn't look too flashy. It's it's like

4:40:10a bit rough around the edges cuz it's a

4:40:11prototype and then they look at it and

4:40:12they go, "Oh, that's that's not what I

4:40:14wanted at all." Because you hadn't

4:40:16managed the expectations of what it was

4:40:18going to look like. We're experimenting

4:40:19right now with sending over graphical

4:40:21mockups and doing a little design and

4:40:23sending that over to them and saying,

4:40:24"Hey, look, this is what it's going to

4:40:26look like. This is how the answers are

4:40:28going to be displayed within the window.

4:40:30This is what the overall UI of it on

4:40:32your website is going to look like,

4:40:33etc." Um, so mock-ups and giving some

4:40:36kind of flash forward to the end

4:40:38product, not just in terms of the

4:40:39outputs, but also in in terms of the

4:40:41optics and and the visuals of what it's

4:40:43going to look like is further going to

4:40:45help your expectation management so that

4:40:47you don't get to the end and the clients

4:40:49go, "Eh, I'm not happy with this." So

4:40:52that's all I want to say in this video.

4:40:53Expectation management, the three

4:40:54questions. What data is the system going

4:40:56to use? What are the expected inputs?

4:40:58And what are the expected outputs? With

4:41:00those three, you can eyeball a project

4:41:01very, very clearly. That's that's all I

4:41:03use to to survey or analyze a project

4:41:05before we take it on. But then when you

4:41:07get further down the sales life cycle

4:41:09towards an exploration phase, content

4:41:11similarity testing and even giving

4:41:13mockups just to really manage the

4:41:14expectations, show the client that this

4:41:16is what you're going to get because

4:41:17unfortunately Chat GBT Open AI, they

4:41:20have such amazing AI experiences that

4:41:22they set the bar way up here. And us as

4:41:24AI agency owners, while we love chatbt,

4:41:26it is our worst enemy at times because

4:41:28it's such a good experience for people

4:41:30and they a lot of these early adopters

4:41:31that you'll have coming to your agency,

4:41:33they use chatbt heavily and they go,

4:41:34"Wow, this is really cool. I want

4:41:36something like this for my business."

4:41:37And then for you as an agency owner with

4:41:39one developer trying to replicate CHBT

4:41:41level polish is very difficult to do. So

4:41:44this is your saving grace. So that's all

4:41:46for the video

4:41:49guys. Today we're going through how and

Hiring Your First Developer

4:41:51where to hire your first developer as an

4:41:53AI agency owner. Now, this is an

4:41:55extremely important and crucial step in

4:41:57the journey of any AI agency owner

4:41:59because if you're not able to get this

4:42:00right and and start to bring in external

4:42:02talent and expertise into your agency,

4:42:04then you are never going to be able to

4:42:05free up your time to focus on more

4:42:07important things like actually growing

4:42:08the business. So, it's so important that

4:42:10you get this right. And this is the the

4:42:11hurdle that many people never get over

4:42:13and stops people from going on to become

4:42:14successful with this business model

4:42:16longterm. So, I wanted to make this

4:42:17video really breaking down everything

4:42:18that I've learned over the past 14

4:42:20months. And this is going to be probably

4:42:21one of the most important videos you

4:42:22watch this year if you're serious about

4:42:24this business model. So, let's get into

4:42:25it. How and where to hire your first

4:42:26developer as an AI agency. Firstly, my

4:42:28expertise in this topic comes from

4:42:30hiring and firing over 15 developers for

4:42:32my own agency in the past 15 months,

4:42:34which is a bit of a a weird flex, I

4:42:35know. Um, but it shows the kind of

4:42:37turnover that you can see if you're very

4:42:38picky about the kind of talent that you

4:42:39let in. And I've learned a lot from from

4:42:41going through 15 developers. So key

4:42:43takeaways from this video for you is

4:42:44firstly going to be determining what

4:42:45developer you need for your agency to

4:42:47succeed this year. Secondly,

4:42:49understanding what makes AAA developers

4:42:51different from regular developers. Um

4:42:53thirdly, knowing the easiest way to find

4:42:55AAA developers for your business. And

4:42:57finally, knowing how much to pay your

4:42:59developers so you don't get ripped off.

4:43:00So very important things. Um we're going

4:43:02to get to all of these by the end of the

4:43:03video. And here's um DJ Calib with the

4:43:04major key. If you are new to the channel

4:43:06and don't know who I am, my name is Liam

4:43:07Mley. I'm the creator of the AAA or AI

4:43:09automation agency model. I'm the founder

4:43:11of my own agency, Morningside AI. I've

4:43:12generated over seven figures with my AI

4:43:14businesses over the past 15 months

4:43:16around the largest community of AAA

4:43:17owners in the world and I've hired all

4:43:18of my friends and live an awesome life

4:43:20that all thanks to AI. Just a little bit

4:43:21of transparency about why I make these

4:43:23videos as well. I know there's a lot of

4:43:24skeptics out there now. So, um this is

4:43:26it on screen. I have software products

4:43:27that I make for AAA owners and my

4:43:29community. And if you become a

4:43:31successful AAA owner, then you'll become

4:43:32a user of my software. And eventually,

4:43:34if I do things right, um I can sell my

4:43:35software. So without you winning and and

4:43:37succeeding with your own agency, you

4:43:38will never use my software and I will

4:43:40never make the reach my end goal. So

4:43:42we're kind of aligned on this. So let's

4:43:44do it. So the first thing we need to ask

4:43:47ourselves is why are we hiring? What's

4:43:48the point of this in the first place? Um

4:43:50and this comes down to a few key things.

4:43:51So finding and hiring the right

4:43:52developer is a crucial step in your

4:43:54journey as a AAA owner. Um failure to do

4:43:57this and and hire correctly and bring

4:43:58expertise into the business so that you

4:44:00can work on more important things is the

4:44:01killer of many aspiring AAA owners. Um

4:44:03they all try to get going. they're doing

4:44:05it themselves and they never get find

4:44:06the right person or understand how to

4:44:08hire in the right way. So, they never

4:44:09advance past that where you can actually

4:44:11start to free things up and scale the

4:44:13business more. Um, and the key thing

4:44:14here is that delivering highquality

4:44:16services is hard in the AI space. I'm

4:44:18not going to sugar coat it. You need to

4:44:20have a capable team and capable

4:44:22expertise within your within your

4:44:24organization to deliver quality services

4:44:26because there's so many people trying to

4:44:27start this right now. But the number of

4:44:29highquality service providers who can

4:44:30give a great experience for their

4:44:31customers and create value is limited.

4:44:33And that's limited to the people who

4:44:35have been able to successfully hire and

4:44:36delegate it off to capable teams as

4:44:38well. And full transparency, this is

4:44:40what completely changed my agency from

4:44:42us struggling initially. It was bringing

4:44:44in the right talent. We had some really

4:44:45poor talent initially. And when we hired

4:44:47the right people, it just completely

4:44:48opened things up for us. I could

4:44:49suddenly work on building my personal

4:44:51brand further so that we could get more

4:44:52leads. And it really just set ourselves

4:44:54up for success as we have had over the

4:44:56past 12 months. On the right here are

4:44:57some examples of people winning within

4:44:59my program. And if you're doing these

4:45:00$20,000 projects, you have to have some

4:45:02kind of talent to deliver this stuff for

4:45:03you so that you can focus on more

4:45:04important things. So if you want to get

4:45:05to these levels, you need to get this

4:45:07first hire correct. Which brings me to

4:45:09the AAA model itself and the opportunity

4:45:11that this entire thing sits on and your

4:45:13role and my role as as AAA owners. Um,

4:45:15and the first thing you need to

4:45:16understand is that there are a lot of

4:45:17developers rushing to this promised AI

4:45:19land with all the money so that they can

4:45:21cash in on their on their share as we

4:45:23are trying to cash in on our share.

4:45:24They're trying to cash in on their share

4:45:26um by running and upskilling to this to

4:45:28this promised land, right? But of these

4:45:29people that are rushing into the space

4:45:30as developers, very few of them actually

4:45:32have the skills and knowledge to create

4:45:34value in the business with their skills

4:45:35and and use this technology to actually

4:45:38solve a real problem and create value,

4:45:39which is where your job as an AI agency

4:45:41owner comes in. And that's to identify

4:45:43opportunities for value creation with AI

4:45:45and deploy the team and the resources

4:45:47required to deliver it. Kind of like a

4:45:48general in the army. Um, you survey the

4:45:51situation and then you deploy the

4:45:52resources or troops to solve that

4:45:54particular problem. So you are the brain

4:45:56and they are the sword. And this is

4:45:57where you create value as the AI

4:45:59automation agency owner. So the first

4:46:00thing you need to understand when you

4:46:01are hiring developers is there's a

4:46:03there's a whole lot of different types

4:46:04of developers. Um it's not just one. And

4:46:06so you need to understand where you're

4:46:08you're targeting your hiring efforts so

4:46:10that you can get what you need to to

4:46:11grow your business. So there's front end

4:46:12developers, backend, full stack, devops,

4:46:16there's a lot of different types as you

4:46:17can see in this diagram here. Um so we

4:46:18need to know what we're looking for in

4:46:20particular so that we can actually grow

4:46:21our business. Um so I've got this little

4:46:23diagram here of these engineerospheres

4:46:25or the spheres of engineering um

4:46:27different areas uh basically and we've

4:46:29got no code developers which have their

4:46:31own little thing going and they have had

4:46:32for the past while using things like

4:46:34zapia and make air table bubble etc. And

4:46:36then we have the more traditional AI ML

4:46:38developers who are traditional software

4:46:40engineers that know how to use Python.

4:46:42They've used things like PyTorch or

4:46:44TensorFlow and more recently they've

4:46:45been using things like Lchain to build

4:46:47LLM based apps um with with Python. But

4:46:50what we're looking for really is this

4:46:52the sweet spot of AAA developers or AI

4:46:54automation agency developers that

4:46:56combine both of these worlds. Um both

4:46:58the no code low cody stuff and the

4:47:00traditional AI IML expertise and that's

4:47:03where we get this middle area here. So,

4:47:05using platforms like voice flow, which

4:47:06is our go-to chatbot builder, relevance

4:47:08AI, which is great for building AI

4:47:10tools, um, and particularly connecting

4:47:12them to your GBTs and and AI agents, and

4:47:14then platforms like my own Agent, which

4:47:16allows you to build chat GBT like

4:47:17experiences for your clients, and then

4:47:19some expertise in how to use language

4:47:21models, prompt engineering, and things

4:47:22like this. So, there's a sweet spot

4:47:24where these two words overlap, and

4:47:25that's ideally where we want to be

4:47:26hiring. Not only are there different

4:47:28spheres of engineering, though, there's

4:47:29also levels to the game, and there's

4:47:30levels of software engineers going from

4:47:32entry level to senior. So you've got a

4:47:34bunch of different factors when you're

4:47:35thinking of hiring which you need to

4:47:37understand before you go and start

4:47:38offering money for these positions. So

4:47:39with these things in mind, what are we

4:47:40actually looking for in our first hire?

4:47:43So going back to the question of why are

4:47:44we hiring in the first place? We're

4:47:46either hiring for a lack of technical

4:47:47expertise that that we are missing. And

4:47:49you need help to be able to plan and

4:47:51deliver the solutions because without

4:47:52this expertise, there's no there's no

4:47:54knowledge gap within your agency between

4:47:56you and and the person that you're

4:47:57you're trying to help, right? you need

4:47:58some kind of expertise and you're you're

4:48:00making money by bridging that knowledge

4:48:01gap for them and delivering solutions

4:48:03that they wouldn't be able to do

4:48:03themselves. So you may need some

4:48:05technical expertise in the business or

4:48:07it may just be a lack of time where you

4:48:09need to delegate project delivery to

4:48:10allow you to focus on growing the

4:48:12business um eg by making content like I

4:48:14do on YouTube taking sales calls etc. So

4:48:17it's either one of these two problems

4:48:18and based on your situation whether it's

4:48:20a lack of technical expertise or just a

4:48:22lack of time um that determines whether

4:48:24you're trying to hire a senior developer

4:48:26or a junior developer. So seniors are

4:48:28able to lead a team. They're able to

4:48:29lead and manage communications with your

4:48:31clients. Uh they're able to architect

4:48:33and plan solutions. They're able to

4:48:34innovate and lead product improvement.

4:48:36They're able to solve problems when they

4:48:38occur. And finally, they're also able to

4:48:40just be used to uh build and deliver the

4:48:42projects that you say you're going to

4:48:43do. And senior developers like this are

4:48:44contrasted against junior developers,

4:48:46which are basically just good for

4:48:48building and delivering projects or

4:48:50updating clients on what's happening. So

4:48:51they can't really lead communications.

4:48:52You wouldn't want them hopping on calls

4:48:54one-on-one with the client and sorting

4:48:55them out there. That's where the senior

4:48:57guys come in and they have to be able to

4:48:58manage a team, lead the project, etc.

4:49:00And you can really hand things off to

4:49:01them. So to illustrate when you need one

4:49:03or the other, uh we've got some

4:49:05scenarios here. So scenario one is a

4:49:07technical AAA founder. Say you've got

4:49:09some background in software engineering

4:49:10yourself. Uh that means you're

4:49:11comfortable in planning the solutions

4:49:12and leading the development. So you you

4:49:14act as a senior developer, but you hire

4:49:16one or two juniors below you that you

4:49:19can kind of delegate to and rotate them

4:49:21as they're available. Um so you can

4:49:22delegate the actual delivery of it and

4:49:24manage the client communication

4:49:25yourself. In this case you're serving as

4:49:27the CTO or the lead developer of the

4:49:29organization and this is quite common

4:49:31for the people who are tech

4:49:32professionals who join my program my

4:49:33accelerator. Um and they come in and

4:49:35they say hey I want to I have the

4:49:37capabilities and the expertise to be

4:49:38able to lead the team myself and that

4:49:40allows you to run a little bit leaner

4:49:41because as you'll see in a little bit

4:49:42the pricing of developers of course

4:49:44juniors are going to be cheaper. So, if

4:49:45you do have the skills and you want to

4:49:46start an agency like this, you can serve

4:49:49as the the lead developer, the CTO, and

4:49:51just hire some juniors underneath you.

4:49:52And a good example of this is Mark, a

4:49:54member from my community. And and I've

4:49:55actually got a podcast here with him on

4:49:56my channel. If you haven't watched that

4:49:57already, I I'll leave that link down

4:49:59below. But Mark is a is a software

4:50:01engineer by trade. He came into the

4:50:02program and he's now done over $50,000

4:50:04with his with his AR business, but he's

4:50:06serving as the lead developer and he has

4:50:08a team of juniors underneath them. So,

4:50:09that's one way of doing it. Um, but

4:50:11secondly, if you're a nontechnical AAA

4:50:13founder and and some of you, I know

4:50:15you're coming into this opportunity and

4:50:16you don't have a software background,

4:50:17which is completely fine, but it's a

4:50:18little bit different to how you would

4:50:19approach it as someone with that

4:50:21background. In this case, you'd have a

4:50:22nontechnical founder who understands the

4:50:24problems that the clients are facing,

4:50:25but lacks the depth of knowledge

4:50:26required to actually plan how you're

4:50:28going to deliver that. So in this case,

4:50:29you would hire one senior AAA developer

4:50:32and then the owner can work alongside

4:50:34the dev and the client to make sure that

4:50:36the expectations are aligned and then

4:50:38they can delegate the delivery and

4:50:39communication to that senior developer

4:50:41cuz as we said these seniors can

4:50:43actually lead and manage the

4:50:44communication with the client and also

4:50:45deliver the products themselves. So in

4:50:47this case, you hop on sales calls with

4:50:48the client. You bring them in, you

4:50:49connect them with your developer, you

4:50:50make sure that everything's all good,

4:50:52and you allow them to manage the

4:50:53delivery of those services. And this

4:50:55gives you more time to bring more

4:50:57business into the business. And a great

4:50:58example of this in action is my

4:50:59co-founder Josh at Morningside. He came

4:51:02in completely clueless when it came to

4:51:03software and building AI solutions. It

4:51:06was just completely foreign to him. But

4:51:07in the space of about 2 months of being

4:51:09on sales calls with me, he was able to

4:51:11learn, okay, these are the questions you

4:51:12ask. This the kind of solutions that we

4:51:14offer. Okay. Okay. And then I was able

4:51:15to fully hand off sales to him and then

4:51:17he's able to get on these, hop on a

4:51:19course with our developers, connect them

4:51:20up and do the process that I've just

4:51:21gone through here. So, it is possible.

4:51:23And Josh to this day still does not know

4:51:24how to code, but he leads all of our

4:51:26sales and all of our operations at

4:51:27Morningside. So, it is definitely

4:51:29possible. And don't let your

4:51:30self-limiting belief stop you from

4:51:32achieving something like myself and Josh

4:51:33have. Your next question might be, okay,

4:51:35how much does this cost for a senior

4:51:36developer or a junior developer? I know

4:51:38what I need now, but how much am I how

4:51:39much am I on the line for here? So, um,

4:51:41there's three tiers of AR talent that

4:51:43we've seen and and we've hired at

4:51:44Morningside, and let me just tell you

4:51:46right now that you don't want to be

4:51:48dealing with the low low tier talent

4:51:50there. So, just take that off the menu

4:51:51completely. For less than $30, they're

4:51:52likely low tier talent and not something

4:51:54that you want to get involved with. I

4:51:56mean, at your own

4:51:58risk, you can you can ignore me if you

4:52:00want, but this is from my experience

4:52:02that you don't want to be touching

4:52:03anything. You get what you pay for um if

4:52:05you're good on the vetting side. And

4:52:06these tiers of talent translate nicely

4:52:08into these price brackets for senior and

4:52:10junior developers. So the senior

4:52:11developers, they're likely going to be

4:52:13$70 to $100 per hour. Ideally, they've

4:52:15got some kind of traditional development

4:52:17background because they are going to be

4:52:18leading the team and you are trying to

4:52:19bring in if you're going to be buying

4:52:21and bringing in expertise. You don't

4:52:22just want to bring in a sliver of hey,

4:52:24he can build chat bots on voice flow.

4:52:26You kind of want to get the whole

4:52:27picture because um you probably don't as

4:52:29the agency owner have much uh expertise.

4:52:31You want them to compliment you, cover

4:52:32off the areas that you're not familiar

4:52:34with, um, and understand what production

4:52:36applications look like, not just

4:52:37gimmicky little chat bots and stuff like

4:52:39you probably can do yourself. There's a

4:52:41big difference between tinkering around

4:52:43with a prototype and a production grade

4:52:45solution. So these guys that you bring

4:52:46in as a senior need to cover off that

4:52:48area for you within the business. So a

4:52:49traditional developer turned AI solution

4:52:51specialist where they understand voice

4:52:53flow, agentive, all these different

4:52:55platforms, relevance, make, etc.

4:52:57Ideally, you can get that hybrid. um

4:52:59you're not always going to be able to

4:53:00find it, but the hybrid senior developer

4:53:02who could do both sides of that is

4:53:03really what you're looking for. And

4:53:04ideally 5 years of experience in a

4:53:05development role. And then you have the

4:53:07juniors and we split these up into two

4:53:09categories really. U guys who can do the

4:53:11only AAA related services. So whether

4:53:14that's voice flow, relevance, etc. Only

4:53:16the low code, no cody stuff. Uh they're

4:53:18only worth about $30 to $40 an hour from

4:53:19from our testing. Uh but if they have

4:53:22the traditional background and they're

4:53:23able to combine it with the AAA

4:53:25solutions that we typically sell and

4:53:26they understand everything that I talk

4:53:27about here on the channel, then they're

4:53:29worth more like uh $50 to $70 per hour.

4:53:31And the reason for this is that if a

4:53:34developer can also leverage these no

4:53:36code, low code tools at the right time,

4:53:38you can deliver services with far less

4:53:40time invested. So, for example, if you

4:53:42wanted to build a web chat widget

4:53:43chatbot and put it on a customer's

4:53:45website, um, and you tried to do that

4:53:47all custom, it would take a ton of time

4:53:49and cost you a lot more than if you had

4:53:51a guy who knew how to use uh, these AAA

4:53:53platforms that we talk about so often

4:53:54here on the channel and was able to just

4:53:56go, okay, I can put this on voice floor.

4:53:58I can build this out in a couple of

4:53:59hours. You're actually getting more

4:54:00value out of them because they're able

4:54:01to deliver the same thing for less and

4:54:03less time. So you paying $50 to $70 per

4:54:06hour if they're able to at the right

4:54:07time use low code and no code tools

4:54:09combined with their traditional

4:54:10background, you're getting more bang for

4:54:12your buck, hence them being more

4:54:13expensive. And these guys here, the

4:54:14juniors who have traditional and AAA

4:54:16experience and knowledge, they're

4:54:17essentially a a baby version of the

4:54:20senior, right? They're just missing the

4:54:21managerial capabilities um and the the

4:54:23ability to actually plan these

4:54:24solutions. So these guys are highly

4:54:26valuable and can be trained up as you'll

4:54:28see just here. You can turn your junior

4:54:30developers into senior over time. Um, so

4:54:32they are the talent that you're looking

4:54:33to develop and this requires zooming out

4:54:35a lot more in your agency and and not

4:54:37seeing them as a static part of your

4:54:38business, but seeing talent as a major

4:54:40part of how you're going to grow over

4:54:41time. Um, and picking the right things

4:54:42and planting seeds and and watching them

4:54:44grow over time is really important. So

4:54:46when it comes to your senior developers,

4:54:47you need the strong technical skills, of

4:54:49course, the 5 years of experience, deep

4:54:51understanding of traditional code, um,

4:54:52and also ideally some of the newer stuff

4:54:55that we talk about on this channel. uh

4:54:56interpersonal skills, being able to talk

4:54:58to your clients, being able to deal with

4:54:59the team, uh being able to communicate

4:55:00with you about what the hell's going on

4:55:02in the business, which is so key. Um and

4:55:04the ability to mentor and coach your

4:55:05juniors, which is really important. And

4:55:06for juniors, you just want to pick rock

4:55:08stars that are just starting off. They

4:55:11natural aptitude towards the the stuff

4:55:12that you're building, potential, and the

4:55:14ability to learn as well. So, juniors,

4:55:16they're not by definition, they're not

4:55:18garbage or or not useful. They're just

4:55:21people who are earlier in the journey

4:55:22and you can with the right training and

4:55:23with the right senior developer can

4:55:25really bring them up into a super high

4:55:26valuable part of the organization. And

4:55:28just quickly I want to introduce a few

4:55:30uh considerations when you are hiring

4:55:31and that's the type of agency that

4:55:33you're running will determine the type

4:55:34of developer that you need to hire. Um

4:55:36so whether you're doing a niche or

4:55:37general agency because there's a big

4:55:39difference in picking that picking the

4:55:40right type is so key to your success in

4:55:42the space. So uh basically are you

4:55:44building from scratch every time or are

4:55:45you using templated solutions? So, if

4:55:47you're general agency, you're likely

4:55:49going to be doing custom every time. And

4:55:50if you're a a niche agency, you're

4:55:52likely going to be replacing or or copy

4:55:54and pasting across multiple clients a

4:55:56considerable amount of the build. And

4:55:57that determines the level or skill level

4:55:59of developers that you need. As you'll

4:56:01see in a second, reusability is a key

4:56:02concept that you need to understand. And

4:56:04secondly, are you just selling low code

4:56:05or no code solutions or are you also

4:56:07throwing in some customcoded aspect to

4:56:08it as well. So, do they need that

4:56:10traditional background? And these are

4:56:12things you need to keep in mind.

4:56:13usability. As I said, um, planning and

4:56:15building from scratch is difficult and

4:56:17prone to more errors. The fact that you

4:56:19can copy and paste across clients if

4:56:21you're running each agency allows you to

4:56:23minimize the amount of brain power

4:56:25required to think like actually planning

4:56:26and architecting a solution is difficult

4:56:28to do every single time something new

4:56:31comes in the door. Smart developers can

4:56:32handle these errors. That's why you hire

4:56:34the senior because they can solve. Um,

4:56:36but if they're just modifying from a

4:56:38template and you're a niche agency, um,

4:56:40then lower tier developers will do and

4:56:42will suffice in most cases because

4:56:44they're not having to rethink or

4:56:45reinvent the wheel every time they do a

4:56:47new project. Therefore, you don't need

4:56:48uh as expensive or as intelligent or or

4:56:50skilled developers. Now, the key

4:56:52question, you know what kind of

4:56:53developer you need, you know what level

4:56:54you're looking for, you know what's

4:56:55missing in your business. Um, where the

4:56:57hell do you find them? Which is a

4:56:59question that I get a lot. And I just

4:57:00want to remind you quickly of these

4:57:01engineer spheres where we've got no code

4:57:03developers, these traditional guys on

4:57:04the right and then the AAA developers

4:57:06which are kind of this hybrid in between

4:57:08where they haven't been watching my

4:57:09content introduced to the the concept of

4:57:11this AI automation agency model as a

4:57:12whole and they understand okay chat bots

4:57:14and automations okay tools etc. This is

4:57:17the kind of stuff that we're delivering

4:57:18on and these are the tools that we and

4:57:20platforms that we use to deliver them.

4:57:21So you need to find people who fall into

4:57:22this AAA developer category so that you

4:57:24don't have to bring them up to speed on

4:57:26all of this information about this is

4:57:28the model that I'm running. These are

4:57:29the tools that we use. These are the

4:57:31kind of things we sell. You need to find

4:57:32them ideally where they already

4:57:33understand that and they've already

4:57:34built with the tools that we need to

4:57:35build with. And the best place to find

4:57:36these AAA developers is in my free

4:57:38school community. Not to just shameless

4:57:40plug here, but we do have nearly 15,000

4:57:42people who have watched my videos,

4:57:44understand this, and a huge portion of

4:57:47the community members in here are

4:57:48developers and do have a development

4:57:49background. I've heard of people hiring

4:57:51ex postman head of engineering and now

4:57:54they have an incredible partner within

4:57:55their agency. There is incredible talent

4:57:57that floats through and watches my

4:57:58videos and floats through my community

4:58:00looking for people and looking for

4:58:01opportunities. There's so many people

4:58:03coming out of big tech at the moment who

4:58:04are looking to get into this AI space

4:58:06and the AI agency model is such a a good

4:58:08thing for people to get into because if

4:58:10you're developer, you can come in and

4:58:11give give value and maybe partner on the

4:58:13agency. If you're a sales guy, you're a

4:58:15you're you're an entrepreneur, you can

4:58:16come in and lead the agency and and

4:58:18identify problems to solve with AI. It's

4:58:20it's so exciting for so many people

4:58:21which is why we have so many people

4:58:23coming through and link to join in the

4:58:25description but you want to come in here

4:58:26and make a post and say I am this here's

4:58:28my background I am hiring for this this

4:58:30is what I'm looking for either hey I'm

4:58:32looking for a partner or I'm just

4:58:34looking for an hourly basis at the

4:58:35moment I have some clients you do need

4:58:36to sell yourself and and pitch yourself

4:58:38within the community so we have a bunch

4:58:40of hiring going on in the community

4:58:41already you can see every one of these

4:58:42posts is getting like five to 10

4:58:44different responses on it so I urge you

4:58:46guys if you're looking to hire join the

4:58:47free community it's down below first

4:58:49link in the descript description, make a

4:58:50post, pitch yourself, say, "This is what

4:58:52my agency is. This is what we're doing,

4:58:54and be really and and you do need to

4:58:56sell yourself in order to attract the

4:58:57best talent." So, get in there, drop a

4:58:59post, and also, if you're a developer

4:59:00watching this, get in there and start

4:59:01replying. Um, engage in the community.

4:59:03And there's so much value to be creative

4:59:05by connecting the right people together.

4:59:06And that's what I want for most of you

4:59:08is that if you can't get this right, if

4:59:09you can't find someone to hire, um, or

4:59:11you can't pair up a a sales guy, an ops

4:59:13guy, and a a developer, then you're

4:59:15likely never going to succeed longterm

4:59:17with this business cuz it's so crucial.

4:59:18something that I found and I've seen

4:59:19time and time again with people in my

4:59:21free and paid communities. So once

4:59:22you've got into my school and posted,

4:59:23hey, I'm looking for a junior developer

4:59:24who knows this, this, this, familiar

4:59:26with these tools, we looking to sell

4:59:27these, etc. Um, then you need to know

4:59:29how to sign and what deal to actually

4:59:31close these guys on, close these guys

4:59:33on, but what contract are you bringing

4:59:34them into your business on? How are you

4:59:35going to be interacting with them?

4:59:36What's the compensation structure? Um,

4:59:38which is a really big question I get as

4:59:39well. So, uh, the contract progression

4:59:41that I recommend and that we've used at

4:59:43Morningside is is starting off with a

4:59:44fixed contract. Then we don't do it

4:59:46anymore. But when we very first started

4:59:48our agency, we were doing it on a fixed

4:59:50contract where we'd go to have

4:59:51conversations with a bunch of developers

4:59:53and and AI specialists at the time who

4:59:55really weren't much specialist at all,

4:59:57but we'd go to them and say, "Hey, we

4:59:59have a client here who needs XYZ

5:00:00services. Can you give us a proposal on

5:00:02how much time this would take and how

5:00:03much it would cost you?" We'd get

5:00:05proposals back from our different

5:00:06developers, mark it up 2 or 3x, go to

5:00:08our client and say, "Hey, this is the

5:00:09price of the build." Very easy way to

5:00:11get started. you're not necessarily

5:00:12putting cash up front because the

5:00:14client's then going to pay that invoice

5:00:15or pay half the invoice and you can pass

5:00:17it to the developer. So, as long as you

5:00:18got a margin there, you can basically

5:00:19never lose money as long as a project

5:00:21goes through without issue. And then

5:00:22after that, if they've shown that

5:00:23they're good and they know what they're

5:00:24doing, you can move them onto an hourly

5:00:26contract and give them a starting wage.

5:00:27Say, "Hey, look, we agree on $30, $40

5:00:29per hour. We're going to do a 30-day

5:00:31free trial." So, you can basically cut

5:00:32them off at any point. Um, I mean, you

5:00:34can put in the contract that you can end

5:00:35it at any point. Um, so this trial

5:00:37period will allow you to test them

5:00:39further. And what you want to do is put

5:00:40Time Doctor. Um it's a it's time

5:00:42tracking thing that monitors their

5:00:43screen and then you can see how many

5:00:44hours they're logging and paid them

5:00:45based on those hours. Um now if all

5:00:47things go well and after that 30-day

5:00:49contract um everything checks out and

5:00:51they've delivered good services for your

5:00:52on behalf of your agency um then you can

5:00:55start looking at a full-time contract um

5:00:56and you could lock in a salary. So

5:00:58you're getting $3 $4,000 a month um and

5:01:00expected hours associated with that

5:01:02contract. Um full-time contracts are of

5:01:03course a big jump and spending $4,000 a

5:01:06month every single month to have someone

5:01:07on might seem daunting. Um, but it is

5:01:09really key um, in a number of ways. One,

5:01:11them working full-time for you is going

5:01:13to make sure that all of their focus is

5:01:14on your projects and you can put in the

5:01:16contract, you are not allowed to work on

5:01:17other things. And you will find if

5:01:19you're working on Upwork or or even

5:01:21people within my community, if that

5:01:22juggling multiple projects at once,

5:01:24they're going to be giving you a

5:01:26fraction of the energy and and time that

5:01:28is required to really deliver what you

5:01:30need to deliver and meet that standard

5:01:31that your clients are expecting. So

5:01:32full-time contract, you get their sole

5:01:34focus. And also, if you do it right, you

5:01:36can make your agency far more profitable

5:01:38by using salaried employees rather than

5:01:41hourly based on. So full-time contract

5:01:42is ideally where you want to get to once

5:01:44you have a consistent flow of leads as

5:01:45well that are going to make sure that

5:01:46you will always have the money to pay

5:01:48them. Um, that's what we run at at

5:01:50Morningside for basically all of our

5:01:51developers unless we're trailing them.

5:01:52Um, and finally, you can offer a

5:01:54partnership. this is something that

5:01:55might be a bit more lucrative. If you

5:01:56are making those school post and and

5:01:58putting yourself out there and saying,

5:01:59"Hey, look, I have a bunch of leads or I

5:02:01have connections in XY industry. I'm

5:02:02looking for a technical partner to do

5:02:03this." You may need to go the

5:02:05partnership route and offer some kind of

5:02:06revenue share on all of the projects you

5:02:08do. So, okay, you're going to get 30% of

5:02:10all the revenue for the projects and

5:02:11this will attract far better talent um

5:02:14because they're going to be more

5:02:15incentivized. They're actually tied to

5:02:16the earnings rather than just being paid

5:02:18paid a wage or paid a salary, right? So,

5:02:20that's contract progression and that's

5:02:22about it. So key takeaways for this

5:02:24video. As I promised in the intro, you

5:02:26have determined what developer you need

5:02:27for your agency to succeed. It's a AAA

5:02:29developer, whether it's a junior or

5:02:30senior, depending on your situation. You

5:02:32now understand what makes AAA developers

5:02:34different, and that is the platforms

5:02:35that we use to deliver our specific

5:02:37solutions, and that kind of crossover

5:02:38between the two worlds of no code and

5:02:40traditional AI development. Um, thirdly,

5:02:42you know how much to pay your developers

5:02:43and those different price ranges,

5:02:44whether you need junior or senior, etc.

5:02:46And finally, you know the easiest way to

5:02:47find a AAA developer for your agency,

5:02:49cuz you just need that one person to get

5:02:51things off the ground. Really guys, it's

5:02:52so important to get that first hire and

5:02:54it's it's one of the biggest steps for

5:02:55you in succeeding with this long term.

5:02:57So go on my school community if you're

5:02:58not already. Make a post, network, show

5:03:00up to my calls. It's another great way

5:03:01to do it. I host a live Q&A every week

5:03:03on Friday within my free community. So

5:03:05you can hop on there, have a chat with

5:03:06me, and if there's an opportunity for

5:03:08partnership, you can put your your email

5:03:10or your contact details in the chat and

5:03:12so many people have been connected by

5:03:13that way cuz there's 100 people

5:03:14watching, chances are there's someone

5:03:15who can help you, is interested in

5:03:16partnering with you. So a great way to

5:03:18find good talent is to hop on those

5:03:19calls and participate in the discussion.

The New AAA Model

5:03:27I wanted to make a uh sort of looking

5:03:30forward video into 2025 for those of you

5:03:32with an AI automation agency who want to

5:03:35really be on the front foot. And I'm

5:03:37going to be sharing what I have seen

5:03:39significant shifts in the market on my

5:03:40end um at Morningside AI and what I

5:03:43suspect to be one of the driving forces

5:03:44of change and uh really where everything

5:03:47is going with the space um within 2025

5:03:50and beyond. And so I wanted to make this

5:03:52quick vid just breaking down what we're

5:03:53seeing on our end and how you guys can

5:03:55start to position your agencies to

5:03:57benefit from what I think is going to be

5:03:58the big shift in the market in 2025. So

5:04:01um this goes right back to what I've

5:04:04talked about a lot on this channel.

5:04:06Basically technology is adopted in

5:04:08different phases by different groups of

5:04:09people who have different inclinations

5:04:12towards the technology. Right? Maybe

5:04:13they're an early adopter and they see

5:04:15they like to take a bit of a gamble or

5:04:17risk on new technology or they're in the

5:04:19early majority which are people that

5:04:21need to see a bit more proof and

5:04:22evidence before they can make a jump and

5:04:24take the investment. Um but all of this

5:04:26is based around us trying to sell AI

5:04:28systems and services and solutions to

5:04:29businesses and you're going to get a

5:04:31spread of business owners who fall into

5:04:33different categories, right? And how

5:04:35this relates to the big shift we're

5:04:36going to see next year is that for the

5:04:39most part we have been focused over the

5:04:41past 2 years since I really talked about

5:04:43this model and and it's gained so much

5:04:44traction. In the past 2 years it's been

5:04:46primarily focused on the implementation

5:04:48section and this is because we've been

5:04:51primarily dealing with uh early adopters

5:04:53and by implementation I mean

5:04:55implementing AI into their businesses

5:04:57like actually building systems for them

5:04:59and saying this is going to make some

5:05:00kind of meaningful difference in your

5:05:01business. So that's implementation and

5:05:03that's what we've really been focused on

5:05:04is can you get these early adopters or

5:05:07business owners who are interested in AI

5:05:08and basically profit off of their

5:05:11interest and willingness to spend money

5:05:13on this on this new technology that

5:05:14excites them that they want to get ahead

5:05:15with and that's what the AI automation

5:05:17agency model up to this point is largely

5:05:19being based around which is there's a

5:05:21bunch of early adopters who want to

5:05:22spend some money we can market ourselves

5:05:24through personal branding through

5:05:25YouTube through if you're doing like

5:05:27cold outbound as well basically get

5:05:28yourself in front of these people or try

5:05:30to find those who are interested in it

5:05:32and offer your services and say, "Hey,

5:05:34look, if there's something that you

5:05:35wouldd like to build um we can do it for

5:05:37you or even identifying a more specific

5:05:39offer that you sell um that you've

5:05:41really dialed in and you found, hey,

5:05:42this is a great offer to sell and you're

5:05:44reaching out to businesses and trying to

5:05:45say, hey, I can do this for you." And

5:05:47then providing a bit more proof. So,

5:05:49that's more so dealing with the early

5:05:51majority and trying to sell to people

5:05:52who aren't necessarily implementation or

5:05:54or ready for AI systems or aware enough

5:05:57about the problem and or about the

5:05:59benefits they provide. The key is that

5:06:00the implementation layer that we've been

5:06:02so focused on is actually what we've

5:06:04realized at Morningside AI uh over the

5:06:06past say 3 to six months as we've been

5:06:08working with our our consulting division

5:06:10that we've set up here in New Zealand is

5:06:12that the implementation step is actually

5:06:14kind of way way down the pipeline and

5:06:17it's really a late stage way of

5:06:19capturing value in the AI space as an

5:06:21agency and you've got a lot that happens

5:06:23before that and while it has been good

5:06:25to start off initially and just deal

5:06:27with the implementation uh and selling

5:06:29implementation for businesses who are

5:06:30ready for it and and are eager for it.

5:06:32Sure, that's been a great way for us to

5:06:34get our agency off the ground and as for

5:06:35many of you guys as well, we see that

5:06:37there's a much bigger opportunity going

5:06:39into 2025 and a slightly different

5:06:41model. And I mean, if you go right back

5:06:43to when I first started talking about

5:06:45the AI automation agency model, it was

5:06:48aimed at small to mediumsiz businesses

5:06:50and helping them to implement and

5:06:51integrate AI into their business. And it

5:06:54was always really leaning towards you

5:06:55are going to be there in the same way

5:06:57that social media marketing agencies

5:06:59were the people who helped businesses to

5:07:01move online and start uh not necessarily

5:07:03move online not like set up their

5:07:04website but when they do that sometimes

5:07:06but move into social media marketing and

5:07:08start start being their guide to getting

5:07:10into the uh digital marketing era and

5:07:13that's what the AI automation agency

5:07:14model is ultimately going to move

5:07:16towards uh in the long run but next year

5:07:18is when I really see that shift taking

5:07:20place and that you're going to see us

5:07:22moving more towards or the agencies who

5:07:24really succeed, moving more towards

5:07:26being the AI transformation partner for

5:07:28businesses. And whether that's being

5:07:30general, which may be quite difficult,

5:07:31or niching down to saying, "Hey, I I'm

5:07:33the AI transformation partner for," and

5:07:35then I'll explain exactly what that

5:07:37means on a implementation and on a like

5:07:39operational standpoint in a second, but

5:07:42saying we are we help plumbing

5:07:43businesses transition into the AIH. It's

5:07:45basically the the offer that you're

5:07:47you're helping them out with, right? Or

5:07:48that you're pres you're presenting to

5:07:50them. And so the way this would look is

5:07:52we see that Morning Side AI, we're

5:07:54starting to identify these real key

5:07:56areas uh that your agency can can focus

5:07:59on and can provide value to businesses.

5:08:01And this really allows you to tap into a

5:08:04much larger chunk of that market of of

5:08:06business owners, right? The technology

5:08:07adoption life cycle. We've got these big

5:08:10chunks of the business owner population

5:08:12in in your given niche who are not ready

5:08:14for AI implementation yet. But this

5:08:16strategy that I'm talking about right

5:08:17now essentially allows you to tap into

5:08:19pretty much the entire uh spectrum and

5:08:22everyone in the market because you're

5:08:23taking a different approach than going

5:08:25straight from implementation. Right? So

5:08:27this strategy this AI transformation

5:08:29partner kind of offer starts with basic

5:08:33education. Right? So that's taking

5:08:35businesses. We've found in our own

5:08:36consulting business that we've started

5:08:37here that you go to some of these

5:08:40companies and they just know absolutely

5:08:42nothing. And even at this point, they

5:08:44still at the starting blocks and this is

5:08:46in New Zealand. We are not on the most

5:08:48on the front foot necessarily with AI

5:08:50here in the States. it might be a little

5:08:52bit uh more common for businesses to be

5:08:54making moves, but I'd say on the most

5:08:56part, if you go and start knocking on

5:08:57doors around your your city, if you're

5:08:59living in the States, if you're living

5:09:00anywhere, and you start knocking on

5:09:01doors of businesses and ask them about

5:09:03what do you know about AI and uh what

5:09:05benefits does it present? What are the

5:09:07risks? Um have you thought about in

5:09:09implementing it? You ask them all these

5:09:10basic questions and the business owner

5:09:12just like, "Mate, I have no clue what

5:09:13you're talking about and I'm not really

5:09:15that interested in it. Sure, I'd like to

5:09:18make more money and spend less. Um, but

5:09:20I don't know what this AI stuff is. So,

5:09:22step one is that there's a huge

5:09:24opportunity for just basic education.

5:09:27And there's the whole population of

5:09:30business owners need to be brought up to

5:09:31speed in it just like they did with what

5:09:33is a website and why the hell should I

5:09:35put it in? Why the would I spend

5:09:36money on getting a website set up?

5:09:39Right? This we have the same opportunity

5:09:41now. And yes, we've been focused so much

5:09:42on implementation, but you go back like

5:09:44two steps. I I'll explain the rest in a

5:09:46second. And the first thing is just what

5:09:48is the technology? What what what does

5:09:51it actually do? Uh what are the risks

5:09:53with it? And like what are what what's

5:09:56the difficulties of me getting to the

5:09:57point where I actually get some value

5:09:58out of it. So, we see there as as being

5:10:00a big opportunity if you're really

5:10:02looking to scale into 2025 and beyond so

5:10:05that you can tap into say your entire

5:10:06niche, not just the plumbers who are and

5:10:08I'm using plumbing as an example, but

5:10:10not just the plumbing businesses who are

5:10:12watching my videos or are kind of really

5:10:15really techy and and they're ready for

5:10:17implementation and they're aware of what

5:10:18AI is, which would be obviously a very

5:10:20small portion of the the plumber

5:10:22business owner population. But by

5:10:24positioning your business in a in a in a

5:10:25way that says look we can actually do

5:10:27the education section so we can start to

5:10:29convert that 97% of people who are not

5:10:31interested and start to move them down

5:10:33the the pipeline towards being

5:10:34implementation ready. That is step one.

5:10:37So step one would be education. Okay.

5:10:40Can you go I use plumbing as an example

5:10:42again but this is for any niche. This is

5:10:43when being niched down is probably going

5:10:45to be the significant advantage because

5:10:47it's going to vary from industry to

5:10:48industry, right? We're saying we help

5:10:50XYZ types of businesses to transition

5:10:52into the

5:10:53AIH. There's there's different wording

5:10:55for that. I mean, that's probably not

5:10:56what we would ultimately go for for the

5:10:58the offer that we're working on in

5:10:59Morningside AI, but that's the the main

5:11:01concept of it, right? So, you've got

5:11:02education first. What is a tech? And

5:11:05then the next step after that is once

5:11:06they've got that foundational

5:11:07understanding, it's like, okay, now

5:11:10let's go into use case identification.

5:11:12And this is what we see as the kind of

5:11:14consulting portion and where we've

5:11:16learned from our own consulting team

5:11:17that there's this really key need of use

5:11:20case identification with the businesses

5:11:21and a team that can go through and do a

5:11:23really rapid and efficient AI audit and

5:11:26that we see as a second layer of of this

5:11:29this new kind of AI transformation offer

5:11:31where you've educated them okay now we

5:11:33can actually have a proper productive

5:11:35discussion about what this stuff can do

5:11:38for your business. So you've understood

5:11:40the foundations. Now the next layer on

5:11:42top of that is what can it actually do

5:11:44for your business. Let's run through

5:11:45some of the systems you have right now.

5:11:47Let's identify any of the lowhanging

5:11:49fruit. Let's do a breakdown of okay well

5:11:50these big opportunities the the uh the

5:11:54difficulty value matrix which I've

5:11:56talked about on the channel here before.

5:11:57Again I'll link a video to it in the

5:11:59description or somewhere here. A lot of

5:12:01the stuff I've already talked about

5:12:02before. Um but I know we often need to

5:12:04be reminded uh more than we need to be.

5:12:07How how does it go? We often need what

5:12:10is that saying? We need to be reminded

5:12:12more than we need to be told.

5:12:15Oh,

5:12:18no. We need to be reminded more than we

5:12:20need to be taught. So again, I'm just

5:12:21reminding you of the things that I've

5:12:22I've talked about here before, but

5:12:24basically walking through use case

5:12:25identification with them. Where do these

5:12:27things that we've discovered and

5:12:29identified within your business and

5:12:30where do they fall on the difficulty

5:12:31value matrix? like how there's some low

5:12:33hanging fruit, some some quick wins that

5:12:36are not very difficult to implement but

5:12:38are hugely valuable and what are the

5:12:39longerterm projects that we can look at

5:12:41that are going to be high value but also

5:12:42high difficulty and take time and so

5:12:45being able to make a bit of a road map

5:12:46or a timeline and how they can start to

5:12:48take those off then you are ready for

5:12:50the implementation section and then we

5:12:52get to what we've all kind of been

5:12:53familiar with with this AI automation

5:12:55agency which is actually using our

5:12:56development teams to build the systems

5:12:58for them and then go through the the

5:12:59cycles of iteration to get them

5:13:01performing and then managing that system

5:13:03moving forward. So I guess

5:13:04implementation would be one and then

5:13:06you've even got another step after that

5:13:07which is ongoing optimization and

5:13:09maintenance.

5:13:11So, so technically there's four parts of

5:13:13that, right? The education, what is the

5:13:16stuff, consulting, and use case

5:13:18notification, how can this actually help

5:13:20my business, how does it apply to my

5:13:21business, implementation, okay, let's

5:13:24actually build this now, and then the

5:13:25ongoing maintenance. So, there's four

5:13:27different ways that you can create value

5:13:28and sell things to them, right? And that

5:13:30can either be sold as a package where

5:13:32it's like, okay, this is going to be

5:13:33$15,000 for me to we help plumbers to

5:13:36move from here to here. we have this

5:13:38complete offer and we're going to walk

5:13:39you through step by step by step or you

5:13:42can start to like kind of make that more

5:13:43peace meal and you can say hey we have

5:13:45this free education offer and then you

5:13:47can advertise directly to plumbers you

5:13:49can go to you can go to plumbing

5:13:50conventions again plumbing as the

5:13:52example um and then you can say okay

5:13:55well I'm going to do the education I'll

5:13:56actually give the education away for

5:13:58free and build some trust with these

5:14:00plumbers and say I am the go-to guy for

5:14:02AI and your plumbing business and then

5:14:04you can sell them on the use case

5:14:05identification you oh actually we've got

5:14:06a 200 00and package for um use case

5:14:09identification. You'll work with our

5:14:10consultants directly. We'll run through

5:14:12a whole process and identify the best

5:14:13ways that you can use AI within your

5:14:15business. And if you are smart about it,

5:14:16you do stay niche down cuz you can just

5:14:18keep doing it's based like how how

5:14:20different can one plumbing business be

5:14:22from the other. You actually aren't

5:14:23having to reinvent the wheel each time

5:14:25with this use case identification. There

5:14:27may be some differences, but for the

5:14:29most part, it would be like booking

5:14:31systems or, you know, like optimizing

5:14:33schedules and and stuff like that.

5:14:35So the use case identification package

5:14:38could become pretty lucrative as well.

5:14:39And then you have the team as well to

5:14:41sell it. And whether you are, this is

5:14:42when it becomes actually really good for

5:14:44people who are non-technical because if

5:14:46you get to the point where I'm like

5:14:48you're really good at selling, you might

5:14:49be good at getting on camera or writing

5:14:51and you can really market yourself or

5:14:53you've always been very much on the

5:14:54sales or or marketing side of of a

5:14:56business or that's just the way you lean

5:14:58kind of naturally. You can do your

5:14:59thing. you can become hey I'm going to

5:15:01be the educator and I'm going to have

5:15:02this team of consultants and then when

5:15:03it comes to implementation I'm not going

5:15:05to have my own team of devs I'm going to

5:15:07be passing off to dev partners say you

5:15:09go into my free community or if you're

5:15:10part of my accelerator you can network

5:15:12with the the guys who are really doing

5:15:13numbers in there and you find capable

5:15:15development partners who don't want to

5:15:16do the marketing who don't want to do

5:15:18all this selling crap that they don't

5:15:20that's never really part of their mo and

5:15:22stuff that they want to do as a

5:15:23developer and then you can just pass

5:15:25them off and say hey look we'll take 20%

5:15:27of any deals we send you And these are

5:15:30going to be our implementation partners.

5:15:32And that way you get to flex this

5:15:34business model to what you need. And if

5:15:35you're a development partner, you can

5:15:36find people who are doing the strategy

5:15:38and doing the educating and you get to

5:15:40just get the leads that you want. And if

5:15:41you think often if it's custom

5:15:43development, your margins maybe, I don't

5:15:46know, 50 or 60%. And so if you are a

5:15:49markety sales person who's going to be

5:15:51doing that education and priming them

5:15:53for that implementation step, the actual

5:15:55real value creation and how sort of you

5:15:57get hundreds of thousands of dollars in

5:15:59savings and you're passing it off and

5:16:00getting 15 to 20%. I mean like that's

5:16:03you're almost there. If a project runs

5:16:05runs along and you end up going uh over

5:16:08over um the expected timeline, you could

5:16:11only end up profiting 20% and you've had

5:16:14to have the whole div team and do all of

5:16:15the management yourself. So, it can

5:16:16actually be pretty like if you're just

5:16:18getting 20% pure profit for just passing

5:16:20it off, it's not actually that much

5:16:21worse. You're making like half the

5:16:23profit that a full dev agency would be

5:16:25making, but with 0% of the headache that

5:16:27comes with running the whole div. So,

5:16:29it's not to say I highly recommend you

5:16:31should just go and sell it and then pass

5:16:33it off. That's just a strategy that you

5:16:35can adopt. And my point here with this

5:16:37whole video is that I think this is

5:16:39where this is where we see it going.

5:16:40This is where we are moving our agency.

5:16:42And I'm going to update you more on that

5:16:43next year. But we see this as really the

5:16:46uh the opportunity to scale hard into

5:16:48different industries because once you

5:16:50have that offer, you've got I have

5:16:51education for them. I have a great team

5:16:53of consultants that I can or a

5:16:55consulting strategy at least like a

5:16:56system where you can get one of your

5:16:58team on and they go on and they walk

5:16:59through this this this this great we've

5:17:01got that that's a you can sell that as a

5:17:03package or you can just have it as part

5:17:04of this whole package as well. But then

5:17:06you get you unlock that technology

5:17:08adoption life cycle. you unlock a

5:17:10significant chunk of the market when now

5:17:12you can market to any business owner

5:17:14because you have something for every

5:17:15stage of the readiness like hey okay

5:17:17let's do a quick questionnaire do you

5:17:19know about AI and what are things yeah

5:17:20I've got a pretty good idea okay great

5:17:22well do you know where it can best help

5:17:24your business oh no yeah that's really

5:17:26where we're stuck but not sure okay

5:17:27great well we've got a consulting

5:17:28package we can get you straight onto

5:17:30that and then after that we've got some

5:17:31great partners that we can help you uh

5:17:32connect with or we can actually build it

5:17:34for yourself and then there's another

5:17:36opportunity that comes off the back of

5:17:37that that we are eyeing up particularly

5:17:39at Morningside AI and that's if you did

5:17:42have a group of dev partners say you

5:17:44were doing this make me make a package

5:17:45that's say 15 or $20,000 for this AI

5:17:47transformation that's end to end you've

5:17:49taken them from basic education you've

5:17:52even got maybe a layer of staff

5:17:53education in there as well where it's

5:17:54like upskilling them as well consulting

5:17:57implementation maintenance etc and then

5:17:59if you're really smart you can hand off

5:18:00all of the kind of lower ticket smaller

5:18:02stuff to your dev agencies that you

5:18:03identify with them your partners and

5:18:05then if there's one really interesting

5:18:07thing that you're like wow I think we

5:18:09could build something around that and

5:18:10actually start to sell it to other

5:18:11businesses within that niche. Then you

5:18:13say we're going to put our dev team on

5:18:14this one. It might be like a really

5:18:16complex sales system, but you know it's

5:18:17going to drive a ton of value. Or we've

5:18:19had things that have popped up recently

5:18:20in the consulting we do around say like

5:18:22a computer vision inventory management

5:18:24system and say, well, if we build that,

5:18:26we could actually then start to sell

5:18:28that to other businesses in that niche

5:18:29and you start to build up a bit of a

5:18:30portfolio of these software solutions,

5:18:33AR software solutions that are massively

5:18:35useful and you've got a great case study

5:18:37to then go and sell it on to other

5:18:38people. So that's how you can start to

5:18:40build a bit of a software portfolio as

5:18:41well.

5:18:42So, I I don't want to go much deeper on

5:18:44that cuz I'll I'll take a window out of

5:18:46my sales for next year and what what

5:18:48we're doing at Morningside, but I

5:18:50thought I'd put you guys onto a bit of

5:18:51game there as to where I see the market

5:18:53moving. And I

5:18:55think this is something you should all

5:18:57be considering if you you might have a

5:18:58good thing going with the implementation

5:19:00already and you got a good good amount

5:19:01of momentum. But looking further ahead

5:19:04and if you really want to unlock a

5:19:06bigger chunk of the market now that we

5:19:07are getting a little bit more

5:19:08competition, there's more people trying

5:19:09to come after this. That's not to say

5:19:11we're late. I still think we are so so

5:19:12bloody early to this. When you when you

5:19:14again when you do the knock on the door

5:19:16test and there's like no businesses

5:19:17using it. Um it shows that we are still

5:19:19so early. Uh but this is something you

5:19:22should look to be doing. Hey, how can I

5:19:23start to unlock and tap into more of

5:19:26this untapped market? And it's not just

5:19:28those early adopters who are really

5:19:30ready for this technology already, but I

5:19:32want to start accessing that bigger part

5:19:33of the early majority and even the late

5:19:35majority by being able to give them a

5:19:37much more beginner friend for anything

5:19:38and say, look, hey, AI is really going

5:19:40to appreciate the industry. I know it

5:19:42can seem quite scary and daunting, but

5:19:44if you give me I've got this free

5:19:45program or this free little course

5:19:47that's going to walk you through or

5:19:48we've got a paid course, whatever it is,

5:19:50that's going to take them through to the

5:19:51stage where they're ready for use case

5:19:52identification. And you got to start

5:19:54thinking about it in these different

5:19:55layers of of value that you can provide.

5:19:57So, that's my little message for 2015.

5:20:01Um, I'm super excited for this and I

5:20:03can't wait to see some of you take this

5:20:05kind of offer and just absolutely crush

5:20:07it and and dominate niches um either

5:20:10within your within your country or

5:20:11internationally as well. I'm just so

5:20:13excited because there's so much

5:20:14potential left like we have just just

5:20:16got started when you're seeing that

5:20:17we're now developing the model to this

5:20:19point and the all these companies are

5:20:22still starting at the they're still at

5:20:24the starting blocks. So, um I hope you

5:20:27guys are excited for 2025. there's so

5:20:29much opportunity and so much to be

5:20:32gained um here monetarily but also just

5:20:36in like self-actualization and I like

5:20:38building something building a business

5:20:40in the space and feeling like you've

5:20:41achieved something feeling like you're

5:20:42proud of yourself and I think that is as

5:20:45much of a part of entrepreneurship as

5:20:46just the money like once you make the

5:20:48money you then need to find some other

5:20:49kind of purpose so yeah this is me for

5:20:52the year signing

5:20:55out in this video I'll be breaking down

Exploration Milestones

5:20:58the simple change that I made in my

5:21:00agency to allow us to scale past 10K per

5:21:02month and how you can do the exact same

5:21:04in yours. It's relatively easy. It's

5:21:06just a simple tweak within the sales

5:21:07process, but it made a complete like a

5:21:09world of difference for us in terms of

5:21:11our closing rates and the amount of

5:21:12effort and and time we're putting into

5:21:14dealing with people who are never going

5:21:15to pay us any money anyway. So, this is

5:21:17something that I've I talk a lot about

5:21:18in my accelerator, but I thought I'd

5:21:20bring it out here and do sort of a a

5:21:21whiteboardy session on YouTube so that

5:21:23you guys can get some of the some of the

5:21:24source as well, cuz it's so important

5:21:25and made such a massive difference for

5:21:27us. So this is a a graph here showing

5:21:29that you keep getting stuck at the 10K

5:21:31per month mark. Um a bunch of reasons

5:21:33why this can happen but uh I want to

5:21:34break things down a little bit more

5:21:37granularly first. So first thing first

5:21:38let me illustrate this and how I came

5:21:40across it and how we made this discovery

5:21:42at my agency with a bit of a story. So

5:21:44back in middle of 2023

5:21:47uh middle of middle of last year when

5:21:48the AI automation agency boom was going

5:21:50crazy. I just started talking about it a

5:21:52few months earlier and suddenly everyone

5:21:54was talking about it and it was the

5:21:56hottest thing in online business at the

5:21:57time. Um, and there's so much attention.

5:21:59I can probably draw the the graph from

5:22:01the last video if you guys remember

5:22:02that. Um, but the Google trends for AI

5:22:05automation agency had this massive spike

5:22:07and then it sort of flattened out to

5:22:09where we kind of are now. But at this

5:22:11point, Morning Side and my agency, we

5:22:13were getting about 20 20 leads per day,

5:22:15inbound leads per day via our contact

5:22:17form on our website. So, we had so much

5:22:20attention and so many people who wanted

5:22:21to work with us um that our sales

5:22:24process and our sales pipeline really

5:22:26started to get choked up and it really

5:22:28pointed out the the main issue that we

5:22:30were facing which is a low close rate

5:22:32despite all of that attention. Right?

5:22:34So, we were getting these 20

5:22:37leads, 20 leads per day,

5:22:41LPD. But when you looked at our actual

5:22:43close rate and the amount of people were

5:22:45and businesses were converting into

5:22:47paying clients, like 20 per day, that

5:22:49might result in like one client. And

5:22:53now, that's a shocking that's a shocking

5:22:55close rate. And uh we we realized that

5:22:56pretty quickly. We said, "Wow, this is a

5:22:58really terrible conversion rate for the

5:23:00amount of attention we're getting." Um,

5:23:01but we realized that we were doing a few

5:23:05things wrong in in our sales process.

5:23:07And there was a few things that we

5:23:08tested and and played around with to try

5:23:10to fix that. And what I'm about to break

5:23:12down is is the one that we settled on.

5:23:13So the the sales process that we had at

5:23:16the time was an email would come

5:23:21in from our uh our contact form

5:23:24submission. So the email would come in.

5:23:26It would have information like um

5:23:28name um

5:23:32budget,

5:23:34description of the project. And then on

5:23:37that alone, my business partner Josh

5:23:38would go in and just evaluate some of

5:23:40those emails and go yes, no, yes, no,

5:23:42delete them if they're not interested

5:23:43interesting for us. Um but then if they

5:23:45were kind of a good prospect, a good

5:23:47lead, we would then send them a

5:23:49discovery call link. So then they'd book

5:23:51a Oh, can I do it?

5:23:54Oh, and they book in a discovery call

5:23:56with us and then we'd have a 30 minute

5:23:59discovery call with

5:24:00them 30

5:24:02minutes and then from there let me go

5:24:06you realize how complex this thing was

5:24:08at the time. Um and from there then we'd

5:24:10need to go to my my CTO Spencer. He

5:24:13would have been on most of those

5:24:14discovery calls and then he would need

5:24:15to analyze how we can how we can build

5:24:18that project. Right? So he needs to go

5:24:19and and do a full analysis of okay, this

5:24:22is what the client this is what the the

5:24:23lead wants. This is how we're going to

5:24:25approach it. This is the opening stage

5:24:27of the project. This is the middle. This

5:24:29is the end. This is the amount of hours

5:24:30that are going to be for each of them.

5:24:31And then we could go back to them. Um we

5:24:34can do sort of a a calculator here.

5:24:37Let's do a bit of a

5:24:38calculator. We needed to calculate how

5:24:40many hours it was going to take to do

5:24:42that. And then we'd create a full

5:24:44proposal. I'm changing colors here. Then

5:24:46we need to do a full proposal with like

5:24:49all of the the jazz on it which is okay

5:24:52this is the this is how much the stage

5:24:54of the project's going to cost. This is

5:24:55the final scope. This is the cost etc.

5:24:57This would take I don't know like three

5:25:00three plus

5:25:03hours. I'm running out of pen here.

5:25:07But this whole process here of getting

5:25:08on discovery call 30 minutes taking that

5:25:10going to Spencer and say hey Spencer can

5:25:12you come up with can you figure out how

5:25:14we'd approach this build um and

5:25:15determine if if how many hours it's

5:25:17going to take then that information

5:25:19would need to go to my business partner

5:25:20Josh and he'd create this from a

5:25:22template all be it but then he'd have to

5:25:24create a proposal saying this is how

5:25:25we're going to do it this is how much it

5:25:27costs and then we need to book in

5:25:29another

5:25:32call I'm getting pretty good at drawing

5:25:34these phones

5:25:35now need to book in another call and

5:25:38that's going to be a proposal call where

5:25:40it might be 30 minutes to 1 hour and now

5:25:46look at all this time we're taking just

5:25:47to get out get to the point of proposal.

5:25:49Then on that call they'll either say

5:25:50sort of yes or no or make a verbal

5:25:52agreement and if at the end of the call

5:25:55they say yeah yeah sure sounds good. We

5:25:58found that there was a massive drop off

5:25:59between the people who we actually pres

5:26:01presented proposals to and the number of

5:26:03people who actually ended up signing and

5:26:05and paying us an invoice. All right. So,

5:26:07this drop off between proposal and and

5:26:10actually uh how can I draw this? Make

5:26:13this

5:26:15a we skip a couple steps in here like

5:26:17sending the contract, going back and

5:26:19forth on the contract, you would go back

5:26:21and forth and back and forth um flopping

5:26:24around and then by the time you've gone

5:26:25back and forth with the contract three

5:26:27or four times, then they're like

5:26:29suddenly not as interested in the in the

5:26:31project anymore. They've lost the buzz.

5:26:33uh you really need to get as quickly

5:26:34from this point of saying, "Hey, I'm

5:26:36interested. I want to work with you."

5:26:37And and getting them signed as fast as

5:26:39possible because in here, anything could

5:26:41happen. They could something in their

5:26:43business could blow up. Suddenly they're

5:26:44not interested in AI anymore. They read

5:26:45an article and they're scared of it. All

5:26:47sorts of crap. So the longer this was,

5:26:49the the higher the drop off we saw here.

5:26:50But the really the key drop off point

5:26:52was this proposal here cuz they go from

5:26:54someone who's filled out a form, don't

5:26:56have really any idea how much this is

5:26:57going to cost them. We go through all

5:26:59this time and we invest all this time

5:27:02here in calculating, calling, writing

5:27:04the proposal, then we get on the call

5:27:06and present it. And a lot of the times

5:27:08like this stuff a stuff isn't cheap. If

5:27:10you have a development team like me and

5:27:12our developers cost quite a lot of money

5:27:13per hour. We have to mark our services

5:27:15up significantly. It's it's like very

5:27:18expensive projects a lot of the time.

5:27:20And when you then present that to them,

5:27:22they aren't are nowhere near ready for

5:27:24that kind of price point. Well, in in

5:27:26most cases. So, it's really an issue of

5:27:28the lead quality and we weren't checking

5:27:31or or sort of price testing them

5:27:33beforehand and we're wasting all this

5:27:34time and getting to this point at the

5:27:36end where we've we've pitched them and

5:27:37then they look at it and they go, "Oh, w

5:27:39like um no chance no chance I'm paying

5:27:42that." And they go, "That's way too

5:27:43expensive for what I'm looking for.

5:27:44Thank you. Have a nice day." And so we

5:27:46got this big drop

5:27:47off where you might get I don't know you

5:27:50make six proposals and get like one of

5:27:54these guys coming out the other end and

5:27:55they're actually interested in signing

5:27:56for the for the project. So looking at

5:27:59this we realized we are spending so much

5:28:01time on this step here of hopping

5:28:03hopping on calls with basically everyone

5:28:05and then allowing these tire kickers let

5:28:08me draw a tire. tire kickers are all

5:28:11over the AI space that business owners

5:28:13who are interested these early adopters

5:28:14if you remember the tech adoption curve

5:28:17we're in this early adopter phase we're

5:28:18getting a lot of early adopters

5:28:20especially earlier on in in my journey

5:28:21last year in the first sort of 6 months

5:28:23of starting my agency we were getting a

5:28:25lot of these early adopters who didn't

5:28:26really care much about the the

5:28:28functionality of it just wanted to feel

5:28:30like they're building something cool and

5:28:31and being on the front foot with their

5:28:33business so these guys do tend to be tie

5:28:36kickers they because they aren't seeking

5:28:38some really really businessch changing

5:28:41implementation, the the rate of them

5:28:44being tie kickers and just kind of

5:28:45wanting to to hop on calls and learn

5:28:47more and feel like they're in the space

5:28:49is is much higher. So tie kickers,

5:28:51they're just coming in and we're

5:28:52spending all of this time 30 minutes and

5:28:55then Spencer is having to do uh I don't

5:28:57know maybe like 1 to 2 hours here and

5:28:59then Josh has to put 3 hours in here and

5:29:00then we have to put Spencer and Josh on

5:29:02this call for a 30 minute to an hour

5:29:04call. so much time just to find out are

5:29:06they or are they not a tire kicker? And

5:29:09so what we did to change this is I mean

5:29:12it it was kind of like a Hail Mary. We

5:29:13were just saying look these close rates

5:29:15are so awful there has to something has

5:29:17to change. Let's just like it.

5:29:20Let's just let's just throw a a low

5:29:21ticket offer at them to get them started

5:29:23and and see who gets through. So what we

5:29:25did is implemented what we now call an

5:29:28exploration milestone. And this this may

5:29:30be standard for uh development companies

5:29:32all over the show, but um until about a

5:29:35year ago, I wasn't some development

5:29:37company CEO as many of you guys won't

5:29:40be. So, we were definitely learning this

5:29:42as as people who've just been online

5:29:44business entrepreneurs and having to

5:29:46pick up how to run these development

5:29:48companies. Um there's there's nuance to

5:29:51to the the sales process as you can

5:29:53imagine. So, we tried this thing. We'll

5:29:55call it an exploration milestone. And if

5:29:58I rewrite this this flow, uh the email

5:30:01still came

5:30:03in. Uh we still approved or disproved it

5:30:06and then disproved it, declined. Uh and

5:30:09if it was good, we probably have a thing

5:30:11here where it's like, eh, we don't want

5:30:13to work with them. We book in the

5:30:15discovery

5:30:17call and that's going to still be 30

5:30:20minutes.

5:30:24But then at the end of the discovery

5:30:26call, if we've qualified them and vetted

5:30:28them out properly and that they seem

5:30:29like a good client, there's a like when

5:30:30we get we get so many leads coming to us

5:30:32that we can be quite picky about who we

5:30:34work with because there's nothing worse

5:30:35than I mean I built my business to have

5:30:38a income stream but also to enjoy what I

5:30:41do. And if I'm dealing with clients who

5:30:42are an absolute pain in the ass that is

5:30:45working against what my goal was with my

5:30:47business, right? I I don't want this to

5:30:49feel like a trap and my business partner

5:30:50and the whole team don't want to work

5:30:52with awful people. It's so bad. It's

5:30:54it's like multiple levels of of of of

5:30:58badness. There's multiple levels of of

5:31:01destruction and damage within the

5:31:03business because not only you are

5:31:04dealing with this this bad client, but

5:31:06everyone in the team is. It just brings

5:31:07it's like an anchor that that brings

5:31:09down the whole team. Um so we get very

5:31:12picky here. Um, and at the end of the

5:31:14discovery call, if they have a clear

5:31:16solution that we can solve, if they are

5:31:18someone who we want to work with and

5:31:21overall seems like a good potential

5:31:23client for us, then we will at the end

5:31:25of the call, we will transition

5:31:28it transition it. That's a transition to

5:31:32at the end of the call, I'll go to my

5:31:34business partner, Josh. So, hey Josh,

5:31:35yep, everything checks out for me here.

5:31:37I think it's good for us to just jump

5:31:38straight into an exploration milestone

5:31:39uh and kick things off next week. Boom.

5:31:42Now we've gone from just talking about,

5:31:45hey, AI stuff is cool. Yeah, tie kick at

5:31:48this, Tai kick at that. We're starting

5:31:49to put the heat on them and say, hey,

5:31:50look, we're looking, we need some money.

5:31:52Like, you've got your free discovery

5:31:53call. We've had a chat with you, and now

5:31:55you're going to cough up to keep working

5:31:56with us. Now, this does come down to

5:31:58some degree to the brand that that

5:32:00you've built. For me in Morningside, we

5:32:01have a a considerable brand position as

5:32:04a AI solutions company because of the

5:32:06stuff that I do here, waving my hands

5:32:07around on the camera, because it shows

5:32:08that I know what I'm talking about,

5:32:09right? And you want to work with people

5:32:10who know what they're talking about,

5:32:11which is why you should consider making

5:32:13content either YouTube, LinkedIn,

5:32:15whatever it is. I can't even explain. I

5:32:18mean, we're getting 20 of these a day.

5:32:20We still get quite a lot of them. And I

5:32:22don't even post nearly as much as I did

5:32:23back in the day. So, getting a little

5:32:25bit off track, but then we say explo

5:32:29exploration milestone. That's what we're

5:32:31looking to do. We end the call and

5:32:33straight after the call, well, we get

5:32:34them to agree to it and we say, "Yeah,

5:32:35well, if if you're happy, we can we can

5:32:37start what we call an exploration

5:32:38milestone." They might ask some

5:32:39questions say, "Well, that's when we

5:32:40just uh go in and we do a very quick

5:32:42sort of prototyping, scoping, specking,

5:32:44determining how much this is going to

5:32:46cost for you. We can't give you an

5:32:48accurate quote on the whole project

5:32:49until we've gone in and done some

5:32:50exploration and done some tests cuz we

5:32:52need to actually cuz the clients will

5:32:55want certain kinds of outputs from the

5:32:56system and because we're going to get

5:32:57into this in a second, which is a really

5:32:59cool part of this video. So, stick

5:33:00around. Um, but clients want specific

5:33:02outputs from their systems as as anyone

5:33:04would. And if we aren't able to get

5:33:06those kind of outputs, then we shouldn't

5:33:08take on the project. Right? So

5:33:09exploration is kind of saving your ass

5:33:11and also making sure the client and

5:33:13expectations are managed correctly

5:33:15because you get a chance to go, okay,

5:33:17let's very quickly spit up a prototype

5:33:19for okay, pass me your data, Mr. Client,

5:33:21and let me give me some examples of

5:33:23input and output pairs and and responses

5:33:25that you want from it. Okay, I'm going

5:33:26to take those in, give my to my dev

5:33:28team, and they can whip it up quickly,

5:33:30sort of determine if we can get kind of

5:33:31close to the outputs they're looking

5:33:32for. If we can, great. Yep, that system

5:33:34works to some degree. Now we're good to

5:33:36take on the full project and we can be

5:33:37confident that we can charge you x

5:33:39amount of dollars and it's going to come

5:33:40within this time frame. So it's really

5:33:43such a key thing and mass like an

5:33:44absolute game changanger for our

5:33:46business. Um, so how do we go from here?

5:33:48Expiration milestone. Uh, we send that

5:33:51via email. So we'll send a templated

5:33:54contract. We send an email just saying,

5:33:55"Hey, just following up on, uh, on on

5:33:57the call you we just had um that the

5:34:00expiration milestone is going to cost X

5:34:01amount." And we started off with ours at

5:34:04uh $800 and that would be sort of a 3 to

5:34:075 day exploration and on a usually more

5:34:10it usually ended up sort of closer to

5:34:12five than three. Um but the $800

5:34:14expiration was a good price point that

5:34:16we found people would be interested in

5:34:17and and they took the bait they took the

5:34:19offer pretty often. So right here you're

5:34:21asking them to cough up and you're

5:34:23saying sorry buddy no more tire kickers

5:34:26beyond here. you are not going to get a

5:34:28single second more of my time until

5:34:30you've given me money to compensate me

5:34:32and my team which allowed us to then

5:34:34only make presentations to clients who

5:34:36are actually qualified to some degree

5:34:38financially qualified. Um so by bringing

5:34:40the price uh the time that they had to

5:34:43cough up some money from way down here

5:34:46to up here we had just saved ourselves

5:34:49all this time and that that was a

5:34:51absolute game changer for us. my

5:34:53business partner Josh instead of working

5:34:54on it being on the sales call hamster

5:34:56wheel of proposals we'd go through these

5:34:59cycles of oh yeah cool there's this big

5:35:01client in the pipeline who w and then

5:35:03next week yeah they didn't reply to the

5:35:04proposal so it happens to it happens to

5:35:07me it'll happen to you but you can do

5:35:08things with your sales process to try to

5:35:11split split the whiff the wheat from the

5:35:13chaff a little bit sooner so you want

5:35:15the you want the good guys to make it

5:35:16past here you want to give them a chance

5:35:18to show that they are serious and this

5:35:20this amount is is a good way of doing it

5:35:22Now, for full transparency, we now

5:35:24charge most recent one we did was

5:35:27$2,000. Um, we've actually charged right

5:35:29up to $5,000. Now, that may sound

5:35:31ludicrous, but when we do $100,000

5:35:34deals, $5,000 expiration uh in order to

5:35:37scope it all out. There's a lot of work

5:35:38involved for us, but the client would

5:35:40rather pay 5 grand up front and

5:35:41determine, hey, is this feasible? Uh

5:35:43what kind of what's the actual budget

5:35:45going to be at the end of the day? And

5:35:47and are these kind of systems actually

5:35:48something that are a good match for my

5:35:50use case? So you can charge up to $2,000

5:35:54$5,000 for the expirations that take

5:35:57these these do take sort of 2 to 3 weeks

5:36:00though. Uh just being fully transparent.

5:36:02So it's not like it was a 3day and 3day.

5:36:05These are definitely big boys for bigger

5:36:08projects. And then expiration milestone,

5:36:12you send that off via email. Say, "Hey,

5:36:13look, it's going to cost 2 grand or in

5:36:15your case might be $800 to start. It's

5:36:17going to cost $800. uh let me know if

5:36:19that's all good and I can send over my

5:36:20we can send over a templated contract.

5:36:22You just change a couple little things.

5:36:23Uh and once they've signed that, you

5:36:25send the send the invoice with the

5:36:26contract as well. Once it's all paid,

5:36:28then you go sweet straight into

5:36:33Slack. And then you go, hey,

5:36:37send requirements.

5:36:43And that's when you ask them, okay, in

5:36:44order to do our our expiration, actually

5:36:47I missed the best part of this whole

5:36:49thing. Let me go back a step. This is

5:36:50when it gets real saucy.

5:36:53So, not only does expiration give us a

5:36:56chance to weed out the the guys from the

5:37:00split the wheat from the CHF, we also

5:37:02get an opportunity to set expectations

5:37:04with our clients. And AI systems are

5:37:07inherently random and hard to predict.

5:37:10They are non-deterministic by nature

5:37:12which means that the same input can

5:37:14create different outputs and this is due

5:37:16to the sort of randomization of the next

5:37:18token generation. We are trying to give

5:37:21in in many cases reliable and

5:37:24predictable outcomes with technology

5:37:26that on the most fun most fundamental

5:37:28like foundational level is random and

5:37:31and tries to be random. So in order to

5:37:35solve uh in order to get client

5:37:37satisfaction and set expectations right,

5:37:39we have also had to deal with uh let me

5:37:42let me give you an example actually this

5:37:43is a better way to do it. This may sound

5:37:45familiar. So client

5:37:49uh client uh you say you're building

5:37:52some kind of chatbased system for them.

5:37:54client uh

5:37:58doesn't like

5:38:02output. Say that you're building a

5:38:04system, a chatbot for them and they say,

5:38:05"Oh, I don't I didn't like the way that

5:38:06it says that." And you say, "Okay, well,

5:38:09they

5:38:12provide ideal

5:38:16output." And you go, "Okay, well, I'll

5:38:18I'll tune the system to try to get it to

5:38:20output output that kind of output." And

5:38:33then it outputs the correct

5:38:36one. Maybe four out of five times.

5:38:43client gets

5:38:49mad because it's not always

5:38:59consistent. Now, this this four out of

5:39:01five times, the the other time, the one

5:39:03out of five times that it doesn't say

5:39:05it, it might just slightly reward it.

5:39:07But this client is looking for exact

5:39:09outputs and you're trying to he wants

5:39:11exact outputs. For you to get the money

5:39:13from them and finish the contract, you

5:39:15need to give them this five out of five

5:39:16perfect exact same outputs every time.

5:39:18When in reality, the system is putting

5:39:20out one and five times something that is

5:39:22a slight modification of it's still

5:39:25saying the same thing. It still means

5:39:26the same, but it's a slightly different

5:39:28wording. And this client goes,

5:39:31eh, client gets mad because it's not

5:39:33consistent.

5:39:35um demands

5:39:39refund

5:39:44because

5:39:47I

5:39:49don't like the way it talks.

5:39:55So here you have a feeling I don't like

5:39:59the the way that the client feels about

5:40:01the outputs is now determining whether

5:40:03or not you get your money which is a a

5:40:06bad place to be. So we have tried to

5:40:09solve this problem in a number of ways

5:40:10and eventually in combination with the

5:40:12exploration milestone we came up with a

5:40:14method that solves all of this while

5:40:17also allowing us to do the exploration

5:40:18and solving downstream issues with

5:40:20client satisfaction as well. So, I'll

5:40:21now get into that cuz I know you came

5:40:23for the sauce, but I'll uh I'll give you

5:40:25a double

5:40:26serving cuz you know that's how we work

5:40:28on this

5:40:31channel. So, the issue here is as I just

5:40:34pointed out

5:40:35LLMs

5:40:38are you're dealing with two

5:40:43problems. One

5:40:46LLM LLM uh non

5:40:54deterministic. They are by nature random

5:40:57and they they spit out different outputs

5:40:59from the same inputs. And then two,

5:41:02you're also fighting against

5:41:05client

5:41:08feelings and subjective opinions.

5:41:15Now, these two when you're trying to

5:41:17build a business selling AI solutions,

5:41:19these two go together like Mentos and

5:41:22Coca-Cola, um, they they don't get

5:41:24along. Uh, and this is a an awful

5:41:27mixture of things to build a business

5:41:28on. And we at Morningside realize this

5:41:31pretty quick that, okay, well, clients

5:41:33are going to have feelings towards if

5:41:35we're building any kind of chatbased or

5:41:36or even just it's it's a content

5:41:38generator, how they feel about like, uh,

5:41:40I don't it's not really what I like.

5:41:42there's something about this. And

5:41:43sometimes we get to a point where a

5:41:45client is, "Yeah, this system's cool.

5:41:46Yeah, yeah, it's good. It's good. It's

5:41:47good. It's good. It's good." And then

5:41:49the next week they'll say, "Oh, no. We

5:41:51need a big change." Like, I just

5:41:52suddenly don't like this anymore. And

5:41:54you're dealing with emotions, uh,

5:41:56emotions and opinions, and you're trying

5:41:58to make money and have some kind of

5:42:00consistent and predictable business. Uh,

5:42:03but you're also now now at at the at the

5:42:05whim of these client emotions and also

5:42:08these inherently random systems. So,

5:42:11these two problems, we realized pretty

5:42:13quick that if we don't solve these at

5:42:14Morningside, we're going to be we're

5:42:15going to be in the and we're not

5:42:16going to have much of a business. So,

5:42:18how do we solve this? Well, my uh my

5:42:21absolute whiz and genius of a CTO

5:42:25uh we sort of tasked him with this and

5:42:27said, "Hey, we need a solution to this."

5:42:29And he came up with a now widely used

5:42:32system. Um can I rub this off? No, I

5:42:35still I still have a bit more to go. uh

5:42:37that we call I it's not we didn't it's

5:42:40been a thing but the way that we apply

5:42:42it I believe is sort of a industry first

5:42:44it's called co sign

5:42:51similarity similarity so what cosine

5:42:54similarity does is it's a test that we

5:42:56can run that allows us to determine the

5:42:57similarity this the semantic similarity

5:43:00of two sets or or any number of set of

5:43:03of uh actually I believe it is just for

5:43:05two um the the the similarity of two

5:43:08pieces of text. So whether that's a

5:43:09word, just apples and oranges, whether

5:43:11that's phrases, whether that's whole

5:43:12bodies of paragraphs, whether it's a

5:43:14whole book, uh you can use co similarity

5:43:18to get a a tangible metric is really the

5:43:21key thing here. A tangible metric that

5:43:22you can point to and say yes, these two

5:43:24things are similar. And for us with

5:43:26these exploration milestones, we started

5:43:28integrating cosine similarity testing as

5:43:30part of the exploration milestone.

5:43:32Determine if we can get the the the

5:43:34right mathematically most similar types

5:43:36of answers that are going to be

5:43:38satisfactory to the client. So we can

5:43:40kind of make sure that we know what

5:43:41we're doing ahead of time and be like,

5:43:43"Yep, we can get a we can get pretty

5:43:44close to this." Uh but more importantly,

5:43:46it gives us a a metric that we can use

5:43:48in our contracts to stop that

5:43:51subjectivity and oh I like the I like it

5:43:54but like it could say this and this or

5:43:56hey it's giving the same answer four

5:43:58times but there's one that's different.

5:43:59It's like well mate at the end of the

5:44:01day our contract says it's the semantic

5:44:04meaning of it and the similarity of the

5:44:06text. If there's if it's one word

5:44:08changed this thing protects us. So let

5:44:09me let me break down how this works. So

5:44:12cosine similarity uh this is going to

5:44:14get a little bit technical but I do

5:44:16quite like getting in this and it's

5:44:17important for you guys to know this to

5:44:18some degree. So, K similarity. This is

5:44:21going to really challenge my uh my art

5:44:25skills. Oh,

5:44:28um

5:44:34down. Oh, okay. So, that's a

5:44:36three-dimensional space. And we're going

5:44:39to have So, it's kind of going

5:44:40backwards, by the way. It's not facing

5:44:41us. So, we have one point over here. We

5:44:44have another

5:44:45point over here. And we have another

5:44:49point uh up over here. And so what these

5:44:53are is coordinates in a

5:44:57multi-dimensional space. In this case,

5:44:59we'll just do three dimensions so that

5:45:01it's easy to understand, but in reality,

5:45:03this is happening in in I think 8,000 or

5:45:06was it 8,000 dimensions? It's impossible

5:45:08for the human brain to comprehend, but

5:45:10uh this will this this will suffice. Um

5:45:13so we

5:45:15have this 3D space. We have 0.1 point

5:45:182.3. And what co similarity allows us to

5:45:21do is determine the similarity of these

5:45:24three points. So this might be a word of

5:45:26of

5:45:28beans. This might be peas and this might

5:45:32be car.

5:45:34And so what the coine similarity test

5:45:36does is that if we go to our client in

5:45:38this expiration phase or in the the

5:45:40actual contract, we will ask them for

5:45:42hey can you give me uh five to 10

5:45:44examples of inputs and outputs that you

5:45:46would like out of the system and when

5:45:48they give us the inputs and outputs we

5:45:50then have something to grade our AI

5:45:52outputs of the system against. So say

5:45:55they have a chatbot and it needs to be

5:45:57outputting a certain type of answer. We

5:46:00can run their 11 inputs against our

5:46:02system. So we have our system

5:46:05here. We take the 10

5:46:08inputs. We run them each through our

5:46:10system and it outputs 1 2 3

5:46:14etc. And then we have their original 10

5:46:18inputs and the well this is the system

5:46:21that they used to create which is their

5:46:23own brain of okay what what should this

5:46:25thing be answering? So this is a human.

5:46:27This is an AI. And then it's going to

5:46:30output

5:46:31the well it's not really outputting the

5:46:33brain has outputed it. But we have 10

5:46:34and 10. And the 10 that we create from

5:46:36our system we can then use cosine

5:46:38similarity to get the average or we can

5:46:41we can compare the similarity of this

5:46:42one to this one and determine if yes our

5:46:45AI system is creating outputs that are

5:46:48similar enough to this and we average

5:46:49them all and then we can get an overall

5:46:51similarity score. So coming back to the

5:46:53graph here, say we have this one here

5:46:56which is is one input. It might be uh

5:47:00how do I change my password and then

5:47:03this one will be the AI output one and

5:47:05this one will be the human one. They

5:47:06might say in order to change your

5:47:07password you need to go to XY Z website

5:47:09and then based off the AI system that we

5:47:11built it might say in order to change

5:47:13your password please navigate to this.

5:47:15So they are fairly similar and then when

5:47:17we run them through the cosine

5:47:18similarity test it's converting these

5:47:20words

5:47:23and it runs it through an embedding

5:47:25model and the words get converted to a a

5:47:30set of coordinates that might be like

5:47:330.1 0.5

5:47:36uh

5:47:370.9 uh and it goes on and on and on and

5:47:40on and on but in this case we've just

5:47:42got three coordinates because we got a

5:47:44threedimensional graph. So what the

5:47:45cosine system does is it converts words

5:47:48into their numerical equivalents within

5:47:50a vector space and by having these

5:47:52coordinates it can plot them in the

5:47:55vector space by their similarity. So in

5:47:58this case you see beans and ps are are

5:48:00close. That's because the embedding

5:48:01model that we use and run the beams

5:48:03through. It's going to give out a

5:48:05coordinate and then we run PS through

5:48:06it. It's going to go hm okay that fits

5:48:08there and they end up being close to

5:48:10each other within the vector space. And

5:48:13so how does what does cosine similar

5:48:15similarity actually mean? Well, it's the

5:48:17measurement of the angle between these

5:48:20two bad boys here. So the smaller the

5:48:23angle, the more similar they are. The

5:48:25larger the angle, see if we go from PS

5:48:27to car or from beans to car, the angle

5:48:30here is much larger. Ooh, I'm getting

5:48:33back into my my uh what was that?

5:48:35Calculus and trigonometry and whatnot.

5:48:37Um but yeah, beans to car is a much

5:48:39larger angle. Therefore the co

5:48:41similarity is going to be lower than

5:48:44these two

5:48:45P's. That make sense? So this is taking

5:48:49the subjective opinions and emotions of

5:48:51people who go h but I like the outputs.

5:48:54I don't really like the outputs. I don't

5:48:56care. You have told us these in the in

5:48:59the expiration milestone. We won't

5:49:01necessarily hold them to that in the

5:49:02contract of the expiration milestone. It

5:49:04would just be hey look give us some

5:49:06outputs and we'll compare them to it and

5:49:08internally we can check and use that in

5:49:10the end of the report. So at the end of

5:49:11the expiration milestone you'll give

5:49:12them a report in a proposal which we'll

5:49:14go into in a second. But the numbers

5:49:17that we get back from our testing if we

5:49:19say okay look by the way coine

5:49:21similarity goes from zero to one. Um so

5:49:24a high a good range uh we go for in

5:49:27expirations we might be looking for 0.85

5:49:2985 or or uh or higher. But for our final

5:49:34builds, we'll be going for anywhere from

5:49:35sort of 0.9 to 0.95 in most cases. So

5:49:39that means it's it's highly

5:49:41similar. And when we do our expiration

5:49:44milestone, we'll be looking to see if we

5:49:45can get this sort of number and say,

5:49:47"Okay, give me those 10 10 outputs and

5:49:4910 inputs. We're going to run it through

5:49:50the system, see what we get. Okay, yep,

5:49:52we're around 8.0.85 or higher. We're

5:49:55confident that we can build the system

5:49:56for you." So, it's as much of client

5:49:58satisfaction as it is for our sanity. We

5:50:00don't want to be taken on trying to take

5:50:02down a mammoth with a slingshot, you

5:50:04know, like we need to be taking on

5:50:07clients that we know that we can deliver

5:50:08for because I tell you what, these guys

5:50:10these these early adopters have huge

5:50:12expectations. Um, it's actually it's

5:50:15more the people who are the sort of

5:50:16early majority who have the bigger

5:50:18expectations cuz they they're like, "Oh,

5:50:19well, I've heard all the stuff about AI.

5:50:21Let me give it a try." And they expect

5:50:22it to just completely change the

5:50:23business. So you need to make sure that

5:50:24they're not expecting too much and given

5:50:26the data and the kind of inputs and

5:50:28outputs they have provided we are able

5:50:30to get close enough to it that we can

5:50:31feel confident in going for a complete

5:50:33contract a full contract on it. So

5:50:36that's custom similarity you can convert

5:50:38the 10 inputs or five to 10 inputs that

5:50:40the client gives you into uh or the

5:50:43outputs sorry into a set of coordinates

5:50:46or or numbers that a computer can

5:50:47understand and when we convert these

5:50:49over we can plot them um automatically.

5:50:51We have a tool for this that we give to

5:50:53our accelerator members so that they can

5:50:54do this testing um for their clients. We

5:50:57have an internal one as well that we use

5:50:58at Morningside. And you just run these

5:51:00run these outputs through the the cosine

5:51:02similarity system. It's going to

5:51:04determine the similarity of them and

5:51:05then we'll average it out and say okay

5:51:06what was the average number? So that's

5:51:08coound

5:51:09similarity might sound a bit complex but

5:51:11we are dealing with complex issues and

5:51:13complex technology. So,

5:51:15uh, and complex emotions of clients,

5:51:20too, and so how does this tie back

5:51:23into the exploration system and how it

5:51:26changed our our sales process and sort

5:51:29of revolutionize their business and how

5:51:30can how can you you use it too really.

5:51:33So, now they've paid us, we've done the

5:51:35exploration milestone and the

5:51:37uh we then need to present the the

5:51:40findings to them. So once you've done

5:51:41all this work and you've you've created

5:51:43your uh you've given this to your devs,

5:51:47they've gone and that's a that's a

5:51:49that's a coding symbol. Uh they've gone

5:51:51and done the work, they've done the

5:51:52expiration, we've got the cosine cosine

5:51:55similarity scores out pretty confident

5:51:57we've done enough of the expiration that

5:51:58we can get to a point where we're

5:51:59confident in pitching uh for the full

5:52:02project. Now uh this comes

5:52:05out and we now have a proposal that we

5:52:10put together which has let's just go

5:52:12half and half here. The first half is

5:52:15going to be the

5:52:18findings the findings of the exploration

5:52:20which is hey look we did these tests and

5:52:22these are the kind of outputs we're

5:52:24really happy with this we were kind of

5:52:25concerned about this. So this first half

5:52:27is the findings and then in the second

5:52:29half you're then going to be pitching

5:52:31your

5:52:33proposal and in this proposal we need to

5:52:36have that's when you get your your

5:52:38developer either you do it yourself or

5:52:40or the the lead developer on your team

5:52:42then you need to get them to create that

5:52:43proposal which is what Spencer was doing

5:52:44earlier in the in the older system which

5:52:46is okay what are the sections how many

5:52:48hours 3 4 etc. How many hours is each of

5:52:51these things going to take and that's

5:52:53going to determine how we can price it

5:52:54within this proposal. So you just we

5:52:56typically just mark up we get the our

5:52:58estimates from our CTO Spencer and then

5:53:00we just mark up based off our kind of

5:53:03inflating markup rate that we apply to

5:53:05our our services. Um so whether that's a

5:53:07few hundred now whether that's you get

5:53:09into thousands of dollars uh you can

5:53:11just kind of mark that up and and apply

5:53:12that overall and then that proposal you

5:53:14will also

5:53:16include gosh makes me realize how much

5:53:19how much there is to cover in this

5:53:21stuff. Uh I thought this was going to be

5:53:22a quick video but inside the proposal

5:53:25then you have the cosign similarity

5:53:26score that you agree on. So this will

5:53:28become part of the contract and that is

5:53:31what's going to save you from the

5:53:32subjective opinions of clients who are

5:53:35unhappy with I don't really like how it

5:53:37sounds that kind of rubbish. First half

5:53:40the findings of the discovery and here

5:53:42is we get to there's so much for me to

5:53:44talk about on this I probably can't

5:53:45squeeze all into this video but there's

5:53:47a number of different factors as to why

5:53:49this works and why it's so important.

5:53:50Uh, one of them is that you get a chance

5:53:52to build trust. You get to show them how

5:53:55you operate. And this right here is the

5:53:57most important part because they've just

5:53:58paid you $800. It's basically like a

5:54:01like they're just sort of having a dig

5:54:03and saying, "Look, these guys seem

5:54:04professional. Let's see if they really

5:54:05know their stuff and they've given you a

5:54:08small amount of money and you've gone

5:54:09away that should pay your developers and

5:54:11hopefully give you a bit of extra." So,

5:54:12you've again, you're getting cash flow

5:54:14here, which is great. Even if you don't

5:54:15end up taking the project on, you can

5:54:17just get paid to do exploration for

5:54:18these people, which cash flow early on

5:54:20in your agency. That that kept us alive.

5:54:22I you not. But then you come down

5:54:24here and you get a chance to show them

5:54:27who you are. Show them how you operate.

5:54:29Show them your level of professionalism

5:54:31and the findings and the way that you do

5:54:33this presentation is going to be key. So

5:54:34this is actually done on a call. Oh, let

5:54:36me see if I can get this

5:54:37again. This is done on on what we call

5:54:40our proposal call. So we'll get them on

5:54:42a call at 30 minutes to half an hour.

5:54:44We'll go through the findings of it very

5:54:46professional. Hey, this is what we did.

5:54:47We're concerned about this. This is the

5:54:49kind of outcomes we got. This is the

5:54:50coim similarity scores. And we you can

5:54:53kind of introduce this as a concept on

5:54:54these calls. We can say, hey, look,

5:54:56given the the inputs and outputs that

5:54:57you gave us, we were able to get to a

5:54:590.85 similarity, which means it's very

5:55:02good. Um, and and with a bit more bit

5:55:04more funding, a bit more effort, we can

5:55:06get this to a point where it's it's far

5:55:07more similar. It's up sort of the

5:55:090.90.95 range. Um, so you get to give

5:55:12them the findings and then you give them

5:55:13the proposal based off the estimations

5:55:15that your your lead developer or

5:55:17yourself have come up with. And that

5:55:19goes in the second half, which is a

5:55:20proposal breaking down each of the parts

5:55:22of the full build and how much that's

5:55:24going to cost them. On the call, you

5:55:25need to have the contract ready. And in

5:55:27the contract, um, if they're all good to

5:55:30go and there's no complaints, then you

5:55:32send them over the contract, get it

5:55:34signed on the call if possible, cuz as

5:55:35soon as that call ends, your chance of

5:55:37closing them just just goes through the

5:55:38floor. um try to get them to to sign

5:55:41that contract on the call because as

5:55:42soon as they signed it, doesn't matter

5:55:43about the invoice really. If they've

5:55:44signed that, they've made a a commitment

5:55:46to paying that invoice as well. So, as

5:55:49long as you can get it signed, walk them

5:55:50through the contract, handle objections,

5:55:52whatever you need to do. Point out that

5:55:53the cosign similarity metric is in there

5:55:55and say, "Hey, look, because these are

5:55:56kind of subjective outputs, uh this is

5:55:58something that we do to both safeguard

5:56:00ourselves and to make sure that you are

5:56:02protected and that we have a level of of

5:56:04standard, a bar to work towards in the

5:56:06quality of outputs that their system

5:56:08generates. So having this concept of

5:56:09similarity, pitch it as a benefit for

5:56:11you and them, which it is, and say,

5:56:13"Hey, look, this is the this is the

5:56:14agreed one. We're going to be aiming for

5:56:160.9. Anything more than that might be

5:56:18overfitting cuz you can make the system

5:56:20too good at giving certain answers. Um,

5:56:22you want to keep it at around that 0.9

5:56:24to 0.95 range. Um, and that's what we'll

5:56:26put in our contract." And that is the

5:56:28way that we can stop this. If you've

5:56:30ever done these kind of projects before

5:56:32where it's custom custom builds, uh

5:56:34you'll know that it can just kind of go

5:56:36on and on and on and it's like review

5:56:38revision hell. We call it review hell

5:56:42and it just goes on and on and on and

5:56:44it's so painful when you have a chatbot

5:56:47system that you've created and then you

5:56:49send it off to them and they send back

5:56:50like a 30 40 minute loom and you

5:56:52just especially when it's a low ticket

5:56:55client as well. If you've been paid

5:56:56three or $4,000 and you're sitting there

5:56:58on your Saturday afternoon, going

5:57:00through this guy's revision notes and

5:57:03and then having to go back and fix the

5:57:05system up and man, it is not pretty and

5:57:07it's not the kind of lifestyle that I

5:57:08want for my business. And so, we try to

5:57:11avoid as much of this crap as possible

5:57:13by saying, "Nope, we have the cosign

5:57:14similarity. This thing is performing as

5:57:17expected. We're done. Send me the money.

5:57:20Send me the money." So, yeah.

5:57:24Hope I uh got all that across, but the

5:57:27exploration milestone has been a

5:57:29complete game changer for us. And if you

5:57:31want to incorporate something similar

5:57:32into your business, while while you may

5:57:34not do the exact same thing as a as an

5:57:36AI agency owner, what you do need to

5:57:39think about is this

5:57:41line and how do I spend less time

5:57:44talking to tire kickers who are going to

5:57:46waste my time and how can I push quickly

5:57:48to start filtering out? cuz you guys may

5:57:50do some inbound lead generation, you may

5:57:51do LinkedIn, whatever, and you may have

5:57:53having conversations, but you'll pretty

5:57:55quickly realize that a lot of these are

5:57:56just conversations. And you need to

5:57:58start finding the the guys with money to

5:58:00spend. These are the guys you want to be

5:58:01talking to. And this the longer you give

5:58:03them, like there's billions of people on

5:58:05the earth, and don't assume that all of

5:58:07them are like you and I and are rational

5:58:09and and don't want to waste time. Some

5:58:10of them are deluded. Some of them have

5:58:13mental issues and they will happily sit

5:58:15on these calls and waste your time. And

5:58:16that's it's not going to help your

5:58:18business. you're going to end up

5:58:19spending so much time talking to people

5:58:20who are never going to be clients. While

5:58:21it may be good sales practice if you

5:58:23need that, but talking to a loony is

5:58:25maybe not the best kind of sales

5:58:26practice you you should be after. But

5:58:28yeah, take this concept whether you

5:58:30apply it bar for bar or whether you just

5:58:32take the kind of distill it down and

5:58:34say, "Hey, look, I need to put some kind

5:58:35of filter earlier on, whether that's a

5:58:37early on in my when I was doing calls

5:58:40for my consulting calls on my channel, I

5:58:42would have a $300 or $500 consulting

5:58:44call and that those are the people that

5:58:46would then take on as dev clients. So,

5:58:47if they came through my consulting

5:58:49calls, they'd already kind of

5:58:50pre-qualified or pre-selected themselves

5:58:51saying, "Hey, look, I'm willing to spend

5:58:53$500 on this." So, that was kind of our

5:58:55earlier exploration milestone, but we

5:58:57started getting leads directly through

5:58:58our website, not just through my uh

5:59:00through my channel and through the

5:59:02through the consulting calling. So,

5:59:04yeah, take it, apply it, and this is

5:59:08particularly good for for general

5:59:10agencies like myself who are doing

5:59:11custom solutions every time. if you are

5:59:13a niche agency um and you have the same

5:59:15thing to sell every single time maybe a

5:59:17little bit different but I think this is

5:59:19handy to have in your back pocket either

5:59:20way and it will help you get past

5:59:21$10,000 a month which was a a major

5:59:24issue that we had and the rest is

5:59:26history. So hope this been helpful guys.

5:59:28Um I certainly enjoyed making it and

5:59:32yeah exploration milestones and co

5:59:34similarity. I hope you got it all. Uh

5:59:36and I will see you in the next one. Keep

5:59:38going. Uh you can do it. this

5:59:40opportunity is not going anywhere, but

5:59:41you need to make back. You need to make

5:59:43moves on it now if you want to get

5:59:44there. So, I'm rooting for you and keep

5:59:46going.

$5,000 vs $100,000 Project

5:59:50Ciao. So, what is the difference between

5:59:52a $5,000 AI agency project and one

5:59:54that's worth

5:59:55$105,000? In this video, I'm going to be

5:59:58breaking down two client projects from

5:59:59my own agency, Morningside AI. And

6:00:01you'll get to see the differences in

6:00:03resources and sort of effort involved in

6:00:05each of these because you're probably

6:00:06thinking that bigger is better, right?

6:00:08but that's not necessarily the case and

6:00:10it really comes down to what you want to

6:00:11achieve with your agency. So, in this

6:00:13video, I really want to give you a clear

6:00:14look at the upsort of the pros and cons

6:00:16for each of these because it's not all

6:00:18sunshine and rainbows. And there are

6:00:20reasons why you wouldn't want a bigger

6:00:21client and you would want a $5,000 one

6:00:23instead. So, I'm going to try to break

6:00:24things down, the factors involved in

6:00:26making these decisions so that you can

6:00:27better aim your agency in the right

6:00:29direction. whether you want to do one

6:00:30that's cash flowing and sort of fairly

6:00:32hands-free or you're trying to build a

6:00:34large AI development company and start

6:00:36to get bigger and bigger projects and

6:00:37you're betting on the long term. So

6:00:38starting off with the $5,000 project,

6:00:40this was a client who had a business

6:00:41base around helping people pay less on

6:00:43their car insurance claims. So if you're

6:00:45in an accident, you go to a repair shop,

6:00:47they try to see or the insurance company

6:00:48wants to try and put as much of it as

6:00:50possible on you. Uh but there's a

6:00:51process where you can go back and forth

6:00:52with them and say, "No, this should be

6:00:54covered by insurance." And that's what

6:00:55the business was based around. and they

6:00:57had a a human operated system for doing

6:00:59the sort of back and forth and analyzing

6:01:00if there's anything in the in the

6:01:02invoices that they could sort of

6:01:03dispute. And we were able to set up an

6:01:05AI system to do that for them. So that

6:01:06was a $5,000 project. The $100 to $5,000

6:01:09project was a complete AI SAS platform

6:01:12build that we did from start to finish.

6:01:13We did all of the AI backends, planning

6:01:16systems, built it from scratch, all

6:01:18custom coded, and we also built the

6:01:19front end as well. So, we call this one

6:01:21a car

6:01:25insurance

6:01:30claims and this one

6:01:33full

6:01:35AIS and this was in the healthcare

6:01:38industry. It was uh for nurses. I can't

6:01:40go into it too much uh but it was in the

6:01:41healthcare industry helping nurses to

6:01:43come up to speed using these AI systems

6:01:44that we could train them faster on. Um,

6:01:46so that's the two different size

6:01:48projects so you got a bit of context.

6:01:49And for the I'll put bing bing some some

6:01:51some screenshots on on screen. There was

6:01:53just a single payment for this I

6:01:54believe. Um, and for this it was three

6:01:56different three or four different

6:01:57payments. And this is now on a

6:01:58maintenance package with us who we get

6:02:00paid monthly to maintain it and sort of

6:02:01add add not add features but we're just

6:02:03maintaining it for now. Um, and also

6:02:05being there on hand to fix any bug fixes

6:02:07that come along. So there's a couple key

6:02:10areas that I want to break down for for

6:02:11these so you understand the associated

6:02:13sort of pros and cons for each. Right.

6:02:14So, a $5,000 project by nature, uh, let

6:02:17me draw up a bit of a table here. So, I

6:02:20have a table here. We can start to sort

6:02:22of lay out the difference between the

6:02:23two in a number of different areas. Then

6:02:25we can have prod

6:02:28here. So, the type of project, we can

6:02:30have

6:02:32admin, we can have sales. This will make

6:02:35sense in a second. Give me a minute.

6:02:37Sales. Uh, then we can have the case

6:02:39study value. We can have the profit.

6:02:44And then we could have the duration

6:02:46that's a clock. Um and then we can

6:02:49divide these up. So these are the

6:02:51different sort of factors or or cost

6:02:53associated with them. We have the

6:02:54project itself. We have the admin time.

6:02:57We have the sales time. We have the case

6:02:59study value. We have the profitability

6:03:02or profit of the of the entire build.

6:03:03Then we have the time that it takes. So

6:03:06uh there's also other factors which are

6:03:07going to but this is this will get us

6:03:08started for now. So we have the project

6:03:11here. We have the

6:03:135k.

6:03:15Oh, 5k. And this one down here, we have

6:03:20the

6:03:25105k. So, just putting these on quickly.

6:03:27We had 1 hour here, we

6:03:30had here, and then we had 3 hours here,

6:03:33and we probably had about 15 here. So,

6:03:35this is the time

6:03:37involvement on the sales side and on the

6:03:40admin side. So, just to uh get this 5K

6:03:43deal, it's not $5, it's $5,000. Just to

6:03:45get this $5,000 deal closed, we had to

6:03:47do an an hour's worth of sales. So, that

6:03:49might be just two two calls, one

6:03:51discovery call, and then one follow-up

6:03:52call just to get started. And then that

6:03:54went into about 3 hours of admin. So,

6:03:56throughout the duration of the project,

6:03:58which I can put down here, uh, which was

6:04:003 weeks,

6:04:04um, and this one was, uh, sort of three

6:04:07and a half months. So, a lot longer,

6:04:10right? So, you can see off the bat that

6:04:12the smaller project is easier to get on,

6:04:14easier to sign. Um, there's less admin

6:04:17involved throughout the duration of the

6:04:18build. Um, and it's done in a in a

6:04:20faster amount of time, right? 3 weeks to

6:04:22get the money. Um, and in this case, we

6:04:24spending over 10 hours of messing around

6:04:27with proposals and going back and forth

6:04:28and identifying the scope. Because it's

6:04:30such a big project, there's so many more

6:04:33questions you need to ask about the from

6:04:34the client and do far far more discovery

6:04:36and digging to really plan out, okay,

6:04:38this is the scope of the project. this

6:04:39is what we're going to do. Um, and then

6:04:40there's this kind of awkward stage where

6:04:42like they know what they want, but they

6:04:44kind of want to see the designs and see

6:04:45the plans and it's like, well, you need

6:04:46to pay us for that. So, we need to do an

6:04:48exploration. Uh, there's quite a lot

6:04:50involved here as you can imagine. So,

6:04:51for the customer to be willing to get

6:04:53into a $100,000 contract, there's a lot

6:04:55of work and sort of relationship

6:04:56building that needs to be done as well.

6:04:58Then we have a factor here called the

6:04:59case study grade. Um, and because this

6:05:01is a fairly basic AI sort of system

6:05:03that's not too flashy, um, you're really

6:05:05getting it might be handy. case study is

6:05:07always going to be handy. Um, but this

6:05:09one is not hugely. Um, in terms of

6:05:12impressing other clients, like, hey, we

6:05:13built a $5,000 system for this kind of

6:05:15client. It's not, at least for what

6:05:17we're doing at my my company, it's not

6:05:18hugely impressive. Um, but a complete AI

6:05:21SAS build is let's well, you can always

6:05:24be better, but we'll give it a 9 out of

6:05:2510. We can show our clients that we

6:05:27built this end to end SAS, and they're

6:05:29like, well, well, if they can do that,

6:05:30then I'm sure they can do everything

6:05:32everything underneath that. Uh then we

6:05:35have the actual profit for this. So on

6:05:37this build it was oh it was

6:05:413,000 and on this build it was

6:05:4431,000. So you can see 5,000 into 3,000

6:05:48105 into 31. You can see the profit

6:05:50margins on these are very different. Uh

6:05:53this is over over 50%. And this is like

6:05:5530% profit margins right? So, uh, for

6:05:58the amount of time you're putting in,

6:05:59this is when you need to start

6:06:00evaluating, okay, well, do I want to be

6:06:02getting sort of better returns on my

6:06:04time here? Cuz this is 3 weeks. You did

6:06:06a quick maths here, and you said, okay,

6:06:07this is going to be

6:06:091,000 profit, PPW, $1,000 in profit per

6:06:13week. Um, 3 and a half months. I guess

6:06:15you can say that 10k per month. um go

6:06:17down to what two 2.3 maybe 2.3

6:06:22um

6:06:25KP

6:06:26week. Is that right? Something like

6:06:29that. Maybe about 2,000 profit per week.

6:06:31I'll get Sean to check the math on

6:06:33that. But yes, so keeping these in mind,

6:06:36you're going to make a lot more money

6:06:37per project in terms of profitability.

6:06:39But this is going to take a lot longer.

6:06:40You're going to get better case studies.

6:06:42You're going to spend a lot more time

6:06:43going back and forth. And this doesn't

6:06:44even factor in the the the fact that in

6:06:47order to get this, you might have had to

6:06:49have three to five of these in the

6:06:50pipeline. We've had lots of people

6:06:51interested in building these AI SASes

6:06:53with us, but very few get to the point

6:06:55of completion because there's a 10-hour

6:06:57sales process and then they have to make

6:06:58these big commitments of $105,000. So,

6:07:00this doesn't even factor in the sort of

6:07:02fail rate of this. So, we might have to

6:07:03put like times five on this cuz there's

6:07:06five times it's failed before we even

6:07:08get to one. But, in this case, we might

6:07:09have just had five of them and it ends

6:07:11up being 5 hours total. So, hope that

6:07:14gives you a good idea of the different

6:07:15pros and cons. Uh, obviously bigger

6:07:17clients, bigger projects going to take

6:07:18more investment on the sort of

6:07:20relationship building and sales side.

6:07:22There's bigger proposals to do. There's

6:07:23more refinement of the proposal,

6:07:24agreeing on scope, much larger timelines

6:07:27just in general. This is going to take

6:07:28you like a month and a bit or more just

6:07:30to get them to the point where they're

6:07:31willing to commit. Um, you can use what

6:07:33we like to do, which is an exploration

6:07:35milestone, which I think I'm going to

6:07:36cover in another video, but that can

6:07:38actually break down the sales process

6:07:39and get these bigger clients on board a

6:07:41lot sooner. But you'll have to subscribe

6:07:43or or like or something to catch that

6:07:44next one cuz I want to do a whole video

6:07:45on exploration milestones. I don't want

6:07:47to get sucked into it on this. And

6:07:48there's actually one more thing that I

6:07:49want to add on here um which you can

6:07:51call sort of company culture um and the

6:07:55way that these different projects have

6:07:56an effect um

6:07:58culture. Um I'm going to have to do a

6:08:01bit of a quick job on this one, but the

6:08:04effect on company culture. If you're

6:08:06trying to build a development team and a

6:08:09a a collection of people who are

6:08:10inspired and feel like they are working

6:08:12towards cool things, building $5,000

6:08:14chat bots or in this case sort of

6:08:16automation systems is is a way to get

6:08:19money in the door, but it's not going to

6:08:20fire up your A players when you're

6:08:22trying to bring in attract and retain

6:08:24highquality talent. There's only so many

6:08:27$5,000 little chatbot builds you can do

6:08:29before they start going, "Hey, look, I

6:08:31want to either be get paid more or I

6:08:32want to go somewhere where I'm feeling

6:08:33more fulfilled because they have the

6:08:35skills to be able to go anywhere and get

6:08:36hired by anyone." So, they're really

6:08:38looking for what you can add on top of

6:08:39just monetary, which is adding some kind

6:08:41of interesting aspect to it. Like, hey,

6:08:43look, I just built out an entire AI SAS

6:08:45that could revolutionize the healthcare

6:08:46industry, or I've just built these

6:08:49chatbots. So, you have to look at

6:08:51culture here. Maybe I do red. Um the

6:08:53culture and the effect of it on the

6:08:55company culture goes down. So we saw our

6:08:58team, our development team was extremely

6:09:00fired up throughout the the entire build

6:09:02of this cuz it was cool. We're working

6:09:03with a client that we really liked. The

6:09:05our client is awesome and we've got him

6:09:07on retainer now. So he's we're

6:09:08continuing to work with him and we're

6:09:09like going to build future features into

6:09:11the platform longer term. Um but our

6:09:13developers got to work directly with a

6:09:15really cool client who had great values

6:09:16and was excited to work with us as well.

6:09:19And the end result was such a great

6:09:20outcome for our team as as us as this

6:09:23this start AI startup that started 12

6:09:26months ago, 14 probably about 12 months

6:09:27ago now. Um, we were able to go from

6:09:31these small basic chat bots right up to

6:09:33knocking off a complete SAS build that

6:09:35the client was absolutely like wrapped.

6:09:37They was so happy with the outcome and

6:09:38for myself, my business partner Josh, my

6:09:40CTO Spencer, for all of us to be working

6:09:42on this project to completion and see it

6:09:44come together uh was a really really

6:09:46great moment and a high point for us as

6:09:47a team and and seeing that we could do

6:09:49these large projects and we could pull

6:09:51it off together. So, uh, the culture and

6:09:53the effect of these larger projects

6:09:54cannot be understated. If you want to

6:09:56attract quality talent and retain them,

6:09:58you can't just be feeding them sort of

6:10:00small projects constantly. So, just keep

6:10:01that in mind. And this brings me back

6:10:03around full circle to what I was saying

6:10:05before, and I can rub this off now,

6:10:07which is which kind of project should

6:10:09you be aiming for? And that comes down

6:10:11to what kind of agency you want to

6:10:13build? What are your goals with this

6:10:15business model? What are your goals with

6:10:16the AI space? Are you looking to create

6:10:19cash flow and just get off the ground

6:10:21and be able to make money online so you

6:10:22can go live as a digital nomad and and

6:10:26go to Bali and do all this cool stuff?

6:10:28Or are you looking to build enterprise

6:10:29value, build a valuable team? And in

6:10:32that case, we can kind of plot it on a

6:10:33bit of an axis here um between okay,

6:10:36over here is someone who wants maybe

6:10:38cash

6:10:41flow, freedom,

6:10:45etc. And over here you want

6:10:48in to

6:10:51pro value

6:10:54um

6:10:57great

6:10:59team

6:11:02culture and

6:11:04really

6:11:08highly

6:11:11capable. So, if you're just looking to

6:11:14use one of these businesses to get

6:11:15yourself making money online and get

6:11:17started, then you need to potentially

6:11:19focus on these lower ticket clients

6:11:21first, right? You I mean, by first, you

6:11:23kind of you can't really just jump to

6:11:24this. You're going to have to do these

6:11:25first anyway in order to get up to the

6:11:27stage where you can have enough

6:11:28credibility and evidence that you are

6:11:30able of able to develop one of these. Uh

6:11:32but when it comes to picking where you

6:11:34want to fall on this on the scale, you

6:11:35need to keep in mind that this is not

6:11:37these kind of businesses are not going

6:11:38to uh scale to these sort of valuations

6:11:41and exitable sort of valuations that you

6:11:44might be looking for here. So it's more

6:11:45of a a self-awareness thing of knowing

6:11:46what you want out of this opportunity.

6:11:49Um and in this case for for myself

6:11:51there's costs that are involved here. As

6:11:54you saw the there was lower

6:12:00profitability, there's higher admin and

6:12:07sales. Sorry, that's really ugly. But

6:12:11there are pros and cons to these. So in

6:12:13this case, you're sort of betting on a

6:12:14longerterm play in that look, I'm going

6:12:16to sacrifice some profitability and I'm

6:12:18going to have to deal with more admin

6:12:20and longer sales processes, etc., But

6:12:23I'm going to be able to create more

6:12:24value through the team that I build and

6:12:26through the culture that I'm building

6:12:27and the enterprise value overall of the

6:12:29the organization. But in this case, your

6:12:32profitability is going to be going way

6:12:37up. While while net profits may not be

6:12:40uh be drastically different, it's still

6:12:42in terms of input and output. You're

6:12:43getting more more juice for the for the

6:12:45amount of squeeze you put in. If that's

6:12:46a good analogy to use. Um and in this

6:12:48case, uh there's less admin

6:12:52admin. So, there is a opportunity for

6:12:55you to create one of these lower ticket

6:12:57agencies. So, we can say that we wanted

6:12:58to niche down to these car insurance

6:12:59claims. Um, it's actually quite a small

6:13:01market, I believe. So, we didn't bother

6:13:02niching down and morning side to do

6:13:04something like this. We could say,

6:13:05"Okay, I just want to do five of these a

6:13:07month or let's let's say three of them a

6:13:08month, 15k in rev." And that was $3,000

6:13:10profit a piece. That would probably

6:13:12increase over time because the first

6:13:14time that we built it is the hardest and

6:13:15we had to come up with all these

6:13:16systems. But if I was to replicate that

6:13:18over to another person's uh build, I've

6:13:20already got all the systems. I just need

6:13:21to tweak it a little bit. So the

6:13:23profitability actually goes much further

6:13:25up. Um let me do like an extra big arrow

6:13:28there. If you're going to niche down, so

6:13:30in this case, I haven't talked about

6:13:32niched and general agencies for a while

6:13:34on the channel. Um but I do throughout

6:13:35my community and ALM and things like

6:13:37this. The difference between a niched

6:13:39agency and a and a general one is that

6:13:41you're going to be able to focus on just

6:13:43one particular solution or or niche. In

6:13:46that case, you're going to be able to

6:13:47roll over the tech that you've built for

6:13:48the prior clients into the future one.

6:13:50So that it means there's increased

6:13:51profitability because you're not having

6:13:52to come up with a new solution every

6:13:54time. Um, now very few people get to the

6:13:56stage of doing this properly because we

6:13:57like to jump around and go. I mean, we

6:13:59were even doing the same thing at

6:13:59Morningside because of the leads that

6:14:01come from my channel. We like to stay

6:14:02general and do sort of cool things

6:14:03wherever we think we're a good fit for

6:14:05them, right? But if you're just looking

6:14:06to start off, get a cash flow business

6:14:09and be making 15, $20,000 a month, then

6:14:12looking at, okay, I can just focus on

6:14:14these small lower ticket clients and try

6:14:16to get cash flow and the freedom that I

6:14:17want. And then maybe later once you've

6:14:19got a bit more experience, you can try

6:14:20to go for the more custom projects and

6:14:22uh and make more money that way. But it

6:14:24is a longer term play. And if you think

6:14:26AI agency as a as a sort of development

6:14:28company is the play for you, this is

6:14:29what you need to go for. But if you're

6:14:31trying to jump to some kind of SAS and

6:14:33you just want the cash flow and sort of

6:14:34the basic team needed to do it, uh this

6:14:36can also be a good option too. So hope

6:14:39that's been a breakdown of the

6:14:41difference between the low ticket and

6:14:42high ticket clients. It's not bigger is

6:14:44not always better is what I'm trying to

6:14:45point out here. And it does depend

6:14:47entirely on your on your goals in the

6:14:49space. And one more point that I want to

6:14:51make is that if you were to do like why

6:14:53$5,000, why not a $1,000 project? Well,

6:14:58you'll find when you do the old grid

6:14:59automatic like I did before, you'll see

6:15:01that the admin involvement of doing a

6:15:04$1,000 project is about the same as a

6:15:06$5,000 project or even a $10,000 project

6:15:08sometimes. So, there's this this kind of

6:15:10goldilock sweet spot zone where you're

6:15:12doing the same amount of admin for more

6:15:13money, which is why at Morningside we

6:15:15have a minimum of

6:15:17$10,000 project. So, we just ignore

6:15:20anything that's sub $10,000 uh just cuz

6:15:23it's not worth the time. I don't want to

6:15:24be getting on sales calls. My business

6:15:25partner Josh doesn't want to take them.

6:15:27if we're going to make $5,000 because we

6:15:29know how much time discovery call sort

6:15:31of closing call, write a proposal, write

6:15:33the contract, send it off, build it,

6:15:34review it, build it, review it, we get

6:15:36involved, something breaks, it's like

6:15:38not what I want to be involved in, not

6:15:40how I want to run my business, which is

6:15:41the point here, which is you need to

6:15:42choose the client size based on your

6:15:45goals with the business. I don't want to

6:15:47be taking a ton of of sales calls with

6:15:49these guys, but my my team would much

6:15:51rather be focusing on hey let's build

6:15:53one or two really big things

6:15:54occasionally rather than doing a sort of

6:15:56high frequency style style model here.

6:15:59So keep that in mind that the admin you

6:16:01will find um there is a certain

6:16:04threshold at which you don't want to

6:16:05take the project just because you know

6:16:06how much admin is involved. Um so yeah

6:16:08that's the last thing I wanted to

6:16:09mention but that's all for the video.

6:16:10Um, if you've liked and you like seeing

6:16:12me walk around here in a in a singlet,

6:16:14um, you can leave a like down below and

6:16:16let me know. Also from my drawings as

6:16:17well. So, that's all the video. Thanks

6:16:18for watching and I'll see you in the

6:16:19next

6:16:22one. In this video, I'm continuing on

Scaling Through Niching

6:16:25from where I left off on my general

6:16:26versus niched agencies video. This is

6:16:28based around the difference between

6:16:29niched and general agencies and how you

6:16:31can use this difficulty value matrix to

6:16:33decide when to transition from general

6:16:35to niched agencies. There's a lot to get

6:16:36through. It's very important if you are

6:16:38looking to be in this business model

6:16:39long term and you're looking to optimize

6:16:41how you build your business over time so

6:16:43that you can scale it as easy as

6:16:44possible. So the difficulty value matrix

6:16:46is where we're going to start here. Oh,

6:16:47and it is freezing cold here in South

6:16:49Africa. So I am wearing a a hoodie. It's

6:16:51a little bit more casual than usual, but

6:16:53I'm sure you guys will appreciate the

6:16:54value rather than the uh attire. So

6:16:57let's get into things. So first thing we

6:16:59need to go through is a little graph

6:17:02like

6:17:04this. All right. All right. So up

6:17:07here, all right, and up here we

6:17:12have

6:17:1550K,

6:17:17100K, and say this is

6:17:21300K and this is monthly rev. So we have

6:17:25monthly revenue of 10K, 50K, 100K, and

6:17:27300,000. Now this is not retainer income

6:17:30um necessarily. It's just the amount of

6:17:31cash collected each month that you're

6:17:33doing. And we have option number one

6:17:34here which is the niched

6:17:38agency niched and here we have

6:17:43general. So this is step one um is

6:17:46understanding the difference between the

6:17:47two models and when you should pick one,

6:17:49when you should pick the other and when

6:17:50you should look to transition your

6:17:52general agency into a niche agency.

6:17:54Because if we're looking to scale, which

6:17:55we're going to get to in a second, the

6:17:57niche agency is superior in terms of

6:18:00scaling. operationally, you are going to

6:18:02be running into less issues. You've got

6:18:04less complexity throughout the business.

6:18:05You're going to be selling the same

6:18:06thing to roughly the same set of people

6:18:08over and over and over again. So, it

6:18:09makes it much easier to repeatedly sell

6:18:11that thing and dial in your marketing

6:18:13and your messaging over time, start

6:18:14running ads, etc. So, scalability. The

6:18:17niche agency has the the crown here um

6:18:20as you'd expect. Uh but the general

6:18:22agency is where most of you are going to

6:18:23be starting. The niche agency is only

6:18:25really ideal for people starting out who

6:18:27have connections or experience in a

6:18:29given industry. So if you have

6:18:30connections in say the home services

6:18:33industry and you have experience and you

6:18:35deeply understand exactly how those

6:18:37businesses run and the problems that

6:18:38they face then you can go in and either

6:18:40use your own experience to identify a

6:18:41niche solution and build that out. Maybe

6:18:44hire a development team or try to build

6:18:45it out yourself or you have your own

6:18:47experience from working in that industry

6:18:49and you know everything and you don't

6:18:50need to go to anyone else. But also the

6:18:52connections are going to be helpful

6:18:53because you can then go and sell it to

6:18:54business owners in that space using your

6:18:56warm connection. So niche agency because

6:18:58you have to come up with a product or a

6:19:00service and an offer initially. It's a

6:19:02lot hard to start as a beginner. Um but

6:19:05longterm it is superior if you're

6:19:06looking to scale aggressively. Right? So

6:19:08the general agency which is what most

6:19:10you're going to start which means you

6:19:11don't need connections. You don't need

6:19:12experience. This is kind of a a longer

6:19:15process to get started but it's a it's a

6:19:17way to ease into the model and ease into

6:19:19running online businesses. I know many

6:19:20of you are new to online business in

6:19:22general. and easing into it. It took me

6:19:2414 months to make my first dollar in

6:19:26profit when I was doing online business

6:19:27in the e-commerce space. And that was

6:19:29because I had to ease in and pick up all

6:19:31these other skills that are necessary to

6:19:32actually succeed. It's it's also it's

6:19:34mindset, it's habits, it's there's a

6:19:36complete transformation of you that

6:19:37needs to happen. And the general agency

6:19:39is a way that you can ease into it uh

6:19:40without having to go through all the all

6:19:42the difficulty of coming up with an

6:19:43offer, identifying a problem to solve

6:19:46etc. So general agency is where most of

6:19:48you are going to be starting. Um, but

6:19:50that is not where if you are looking to

6:19:52scale, which is the whole purpose of

6:19:53this video, you're going to end up

6:19:55longterm. And as I mentioned before, the

6:19:57operational streamlining that you can

6:19:59have from a niche agency where it's

6:20:00like, okay, we have built this one this

6:20:02one product or the suite of products for

6:20:04a certain niche or for a certain avatar,

6:20:07it's much easier for us to sell that

6:20:09repeatedly and also to acquire customers

6:20:10because we can run ads etc. Gone in

6:20:12circles here, but you get the idea. The

6:20:14point of this video is to give you a

6:20:17framework, the difficulty value matrix

6:20:19to let you know when to transition this

6:20:22general agency into a niche agency.

6:20:24Because the good thing about a general

6:20:25agency is because you are working uh

6:20:27with a various different types of

6:20:29companies. You're taking requests on

6:20:30things that they want you to build for

6:20:31them like Morningside AI, my own

6:20:33company. We are in the process, the

6:20:35reason I'm making this video is because

6:20:36we're in the process of doing this right

6:20:38now. So, we are looking to we've been

6:20:41trying to scale the general agency which

6:20:43is taking custom projects past six

6:20:45figures per month and it has just been

6:20:47an absolute nightmare. Like it is

6:20:48pushing uphill because there's so

6:20:50much operational complexity of running

6:20:52these custom projects every time because

6:20:54every time we go to take on a client,

6:20:55there's this gigantic process. There's a

6:20:57lot of exploration. We need to do an

6:20:58entire exploration milestone with them.

6:21:00That's going to take a week. Then we

6:21:02need to hop on do a proposal, write the

6:21:03whole proposal up, do the contracting,

6:21:05custom every time, go back and forth on

6:21:06the contract. A lot of stuff goes on

6:21:08just to get one client signed because

6:21:10there's so much. It's custom. We're

6:21:12doing custom development. They do it on

6:21:13request. They come to us with something

6:21:15that they need. They've watched one of

6:21:16my videos where they've seen something

6:21:17elsewhere and they come to us and say,

6:21:19"Hey, can you build this for me? I'd

6:21:20like a I'd like a quote or proposal."

6:21:22So, and then because every time you go

6:21:24to build a a project as a custom AI

6:21:26solutions company like

6:21:28Morningside, we are solving problems

6:21:30that we potentially haven't solved

6:21:31before. So we have a a a track record of

6:21:34previous projects we've done and we can

6:21:36draw from that how we can execute on

6:21:38these new ones but at the end of the day

6:21:40we haven't covered even a fraction of

6:21:42the potential use cases out there. And

6:21:43so for us every time we go into a

6:21:45project we are dealing with an element

6:21:46of unknown and that means there's a a a

6:21:48risk factor that there's going to be

6:21:49issues that pop up in the project that's

6:21:51going to take longer than expected.

6:21:52There's more managerial insight

6:21:54involved. Um and so it's difficult has

6:21:56been difficult for us to get past this

6:21:57this 100k per month mark. So, we are in

6:22:00the process of niching down Morning

6:22:02Side. This is a little bit of an

6:22:03announcement. I'm going to do a whole

6:22:04video on it. But, we're in the process

6:22:06of niching niching Morning Side down

6:22:08into a specific niche. I'm not going to

6:22:09tell you just yet. You got to wait for

6:22:10that video. But, we're going to niche

6:22:12down to scale past that six figure per

6:22:15month or low six figure per month cap

6:22:16that we've been facing. So, for those of

6:22:18you who are starting off agencies, I

6:22:19want you to get this very clear in your

6:22:20mind right now. Even if you're just

6:22:22starting, even if you haven't started,

6:22:23understand that this dynamic is at play

6:22:25where niche agencies can sort of scale

6:22:27right through because they get to all

6:22:28the hard work early. General agencies

6:22:30get the taste all the way along. So,

6:22:32they're doing little all these different

6:22:33projects that you do at the

6:22:35time. At some point, you're going to

6:22:37find something that's going to allow you

6:22:38to niche down. And that's what the next

6:22:40part of this video is about is how do

6:22:42you know when you've found that? So,

6:22:44let's go into the next part now. So

6:22:46there we have the difficulty value

6:22:48matrix, a framework that I've come up

6:22:49with for looking at the solutions that

6:22:51you provide as a general agency that you

6:22:53can pass through this this as a as a

6:22:56filter or as a lens uh to determine if

6:22:58the solution that you're providing is

6:23:00something that's potentially an option

6:23:01for niching down towards. So I know it's

6:23:04probably not rocket science, but we have

6:23:05value along the bottom in terms of the

6:23:06value to the client. So if you create

6:23:09something inherently the solutions that

6:23:10we build, our whole job as AI automation

6:23:12agency owners is to be able to use AI

6:23:14technology to create value in

6:23:15businesses. So that's our skill. We need

6:23:17to identify opportunities for it. And

6:23:18then we need to deploy the resources and

6:23:20the team necessary and have the

6:23:23managerial oversight to see that uh that

6:23:25project delivered and and executed so

6:23:27that we can create value for their

6:23:28businesses. And we're going to be able

6:23:29to extract some of that value back for

6:23:30ourselves in the process of creating it.

6:23:32So that's how we pull and siphon out

6:23:34some money from this AI wave and the AI

6:23:37revolution or whatever buzz word you

6:23:38want to use. We need to create value

6:23:40with AI and we get a share of it of

6:23:42whatever we're able to create. So the

6:23:44value that we create for clients it can

6:23:45either be low and something that's quite

6:23:47small and and more of a quality of life

6:23:48thing or it can be a serious uh impact

6:23:51provide a serious impact to the business

6:23:52and drive massive growth or cost savings

6:23:55etc. So high value low value not too

6:23:57complicated. Then we have difficulty in

6:23:59terms of the difficulty for you to

6:24:00deliver it. There's low difficulty and

6:24:02high difficulty. This might be a little

6:24:04automation. This might be a custom

6:24:07platform. The the high difficulty ones

6:24:09might involve a lot of moving parts and

6:24:11different integrations. The low

6:24:12difficulty ones might use a very basic

6:24:15setup with just one or two software. So

6:24:17I know you you guys are smart enough to

6:24:18to understand the difference between

6:24:20hard and easy projects and also low and

6:24:22high value projects. But in the middle

6:24:24here is where it gets good and this is

6:24:26the lens that you can look through to

6:24:27identify what solutions you should

6:24:28consider niching down towards. So first

6:24:30we have in this bottom corner low value

6:24:32solutions. Low value to the client but

6:24:34also low difficulty. So it's easy for us

6:24:35to deliver but it's not providing that

6:24:37much value to the client. These are kind

6:24:38of quality of life little they can be

6:24:41good for upsells where if you're

6:24:42targeting a certain niche, you can say,

6:24:44"Hey, look, I'll also throw in this this

6:24:45this and this. It's easy for us to do.

6:24:47It's like not much not much cost to us,

6:24:49but we can throw them in there. It's not

6:24:50going to be the main driver of value for

6:24:52the offer, but they can be handy things

6:24:53to get a deal over the line or just to

6:24:55provide some extra value um for the

6:24:56client on the whole. So, low value and

6:24:58easy. Next, we have solutions that are

6:25:00of low value to the client and are hard

6:25:02for us to deliver. So, I'm not even

6:25:04going to continue talking about that.

6:25:06Let's just cross that off. that's not

6:25:07what we're interested in here. And if

6:25:09you've delivered one of these, you

6:25:10probably want to put that on a blacklist

6:25:12of like, let's never do this again. Um

6:25:14cuz providing not much value to your

6:25:16client and making it very hard for

6:25:18yourself and your team is not the

6:25:20equation that we want out of these

6:25:21businesses, right? Personally, I'm

6:25:23trying to build a business that is it's

6:25:24to some degree a lifestyle business as

6:25:25well that allows me to live the life

6:25:27that I want to. And if I'm taking on a

6:25:28bunch of stress, stressing my team out

6:25:30and not delivering much value, I can put

6:25:32my time in in I should be spending my

6:25:34time on different areas of this quadrant

6:25:36uh in future. So jumping across to here,

6:25:38we have high value and hard solutions.

6:25:41So these are these custom platforms that

6:25:42you have to put a lot of effort into.

6:25:44Like the biggest project that we've done

6:25:45at Morningside is now uh over $120,000

6:25:48or so. Um and it was a a complete SAS AI

6:25:52SAS buildout that we've done that was

6:25:53both high value for the client and also

6:25:55very hard for the team. So there was the

6:25:57most difficult project we've done by

6:25:58far. It took basically all of our

6:25:59resources for a while, but we're able to

6:26:01deliver that. And so while these can be

6:26:03good at certain stages of your general

6:26:04agency, it's likely not something that

6:26:06you want to niche your agency down to

6:26:08unless you want to end up like in our

6:26:09case being like the AI SAS specialists.

6:26:13Personally, I wouldn't be trying to

6:26:14niche down to it. And that's why us as

6:26:15Morningside didn't we did consider it of

6:26:17saying, "Hey, let's just keep doing AI

6:26:19SAS projects cuz they're quite large.

6:26:20They're high ticket and we can get a

6:26:22nice track record up of like clear

6:26:23definable platforms that we built." But

6:26:25on the whole, we weren't interested in

6:26:27doing that. We're looking for a sort of

6:26:29smaller win that we can scale a bit more

6:26:30aggressively because this hard we are in

6:26:32a stage with the AI space right now

6:26:34where we have the luxury of being early.

6:26:37We don't have to at at a at a later date

6:26:39people are going to solve these problems

6:26:41because hard hard is all was all kind of

6:26:43relative, right? People can solve hard

6:26:45with good systems and good processes and

6:26:47really talented teams. So hard can

6:26:49eventually become like

6:26:50medium if you've done the same thing

6:26:53like 20 times and you've really dialed

6:26:54in the process on how you execute on

6:26:56delivering an AI SAS platform. But on

6:26:58the whole we are in the early stages of

6:26:59this AI revolution and we have the

6:27:02luxury of picking the lowhanging fruit.

6:27:04So you watching this video right now as

6:27:06opposing you have the luxury of picking

6:27:08a lowhanging fruit that are easy to

6:27:10deliver and high value which is our next

6:27:12one. So this is not a complete no.

6:27:14Neither is this, but this is high value

6:27:16to the client plus easy to deliver,

6:27:18which is a big big check mark from uh

6:27:21Mr. Mr. Otley here. So that is exactly

6:27:23what we're trying to go for. If you are

6:27:25niching down to a specific type of

6:27:26solution that you want to sell

6:27:27repeatedly, for example, you may have

6:27:28found an automation or a chain of AI

6:27:30automations that when applied to a

6:27:32specific type of business can completely

6:27:34change the the way that they are

6:27:35acquiring clients. And that's a massive

6:27:37value ad for the client, but also easier

6:27:39for you. In some cases, the strengths of

6:27:41generative AI and LLM can just be

6:27:43applied perfectly to a specific use case

6:27:46and you're able to get a a situation

6:27:48like this where high value to the client

6:27:49and easy for you to deliver. So, if we

6:27:51are talking about when to go from niche

6:27:53to general and you remember on the uh

6:27:55the little thing I had all these lines

6:27:57and then what's this big star moment

6:27:59where we're going to actually go up to

6:28:01the niched route. This is what you're

6:28:03looking for. This is the lens, the high

6:28:04value and easy to deliver. So, just to

6:28:06recap, high value and easy is what we're

6:28:08looking for. Low value and easy are good

6:28:09for upsells

6:28:12slashbundles. So, not something you

6:28:14should completely disregard, but keep

6:28:15them in the back pocket if you want to

6:28:17add more value to a deal or offer them

6:28:18to your client as a as an extra. Um,

6:28:20high value and hard can be good. Um, and

6:28:22you can turn this hard into medium over

6:28:24time. Um, but we are in the early stages

6:28:27and we get to pick the low hanging

6:28:28fruit. Here's a little tree. The low

6:28:31hanging fruit is what we're trying to

6:28:33get there. And that's what high value

6:28:34and easy to deliver solutions are. So

6:28:36moving on from that, I want to point out

6:28:38also something that you may not be aware

6:28:39of when you are building these solutions

6:28:41and and working as a general agency in

6:28:43particular. uh there is no contractual

6:28:45obligation unless you put it in the

6:28:47contract that if you build a high value

6:28:49and easy to deliver solution for a

6:28:51client that you can't go and then take

6:28:53this and go okay

6:28:56how

6:28:58can

6:28:59I

6:29:02find

6:29:05more businesses so you've delivered a

6:29:07high value and easy to deliver solution

6:29:09for a specific type of business you

6:29:11should be asking next if you're choosing

6:29:13to niche down here or want to explore it

6:29:14further, do a couple more iterations and

6:29:16and implement it in businesses a few

6:29:18more times and get a bit more

6:29:19experience. Your question should be, how

6:29:20can I find more of these businesses?

6:29:22Because what you've just built here,

6:29:23unless in the contract with the client,

6:29:25they ask for exclusivity where if you

6:29:28build this for me, you're not allowed to

6:29:29build it for any of my competitors or

6:29:30anyone else in the space. And for them

6:29:32to ask for that on the in the contract,

6:29:34you will need to put your price

6:29:36significantly up because if in most

6:29:37cases, AI is quite a broad field right

6:29:39now. There's a lot of overlapping

6:29:40solutions. It might be an AI automation,

6:29:41it might be a chatbot. If you as an

6:29:43agency say, "I will never build another

6:29:45AI chatbot for this," you're wiping out

6:29:48a massive potential chunk of revenue for

6:29:49the foreseeable future. So, in unless

6:29:51they're willing to pay five, six, 10

6:29:53times more than what you actually put on

6:29:55the regular ticket price for a project

6:29:56like that, you're entirely allowed to

6:29:58take that exact same solution that you

6:30:00built for them and then go and find

6:30:01other people like it. You go on Apollo,

6:30:03you go on use instantly's lead finder,

6:30:04you go on any of these lead finding

6:30:06platforms, you go on LinkedIn Sales

6:30:07Navigator, you can try to find other

6:30:09business owners like that using any of

6:30:11the lead generation methods that are out

6:30:12there, right? And then once you take

6:30:13that, you've already got it built. Now

6:30:15you can just try and copy and paste it

6:30:17to some degree. There's always going to

6:30:18be some complexities and replicating it

6:30:20across to another business, but for the

6:30:21most part, you've got a significant

6:30:23chunk of it done and now you're able to

6:30:25take it across. So these businesses that

6:30:26you work with, unless they ask for it

6:30:28explicitly in the contract, you are able

6:30:30to go and find more businesses like

6:30:31them. And then you have the ammunition

6:30:33required to

6:30:35say

6:30:37I

6:30:39built X for

6:30:43Y. Do you want it? And then once you do

6:30:47this, you have the ammunition when you

6:30:48are reaching out to them to make your

6:30:50outreach so much more effective because

6:30:51you can say, "Hey, I just built X for Y,

6:30:54your competitor. Are you interested in

6:30:56learning more about it or do you want to

6:30:57hop on a call to discuss how it could

6:30:59change your business as well?" This is

6:31:01tapping into a the sort of psychology of

6:31:04business owners right now where they

6:31:05know AI is is the wave. It's coming.

6:31:07Many of them are skeptical about it.

6:31:08They're not ready to invest in it, but

6:31:10this is the kind of thing that can nudge

6:31:11them over the edge. So being able to say

6:31:13that, hey, your direct competitor, I

6:31:15just built this crazy AI system for them

6:31:17and it's getting insane results for

6:31:19them. Would you be interested in hopping

6:31:21on a call to learn more about how it

6:31:22could potentially help your business? If

6:31:23not, uh if it's not a good good fit, no

6:31:25problem. But you've just learned a bit

6:31:26more about how AI is helping businesses

6:31:28in your industry. So I want to link this

6:31:31very quickly to some of the the research

6:31:32that I've been doing. I'm always uh

6:31:35furiously researching the macro

6:31:37environment behind the scenes because if

6:31:40I'm going to be giving you guys

6:31:41information, I want to make sure that

6:31:42I'm giving you relevant information

6:31:44given the the macroeconomic context and

6:31:46all the trends that are going on. So,

6:31:48based off a report that I was reading,

6:31:49I'll put it up on screen now so you can

6:31:51read it. It says, "The tension between

6:31:53the push to offset slowing labor force

6:31:55growth with automation and the pull to

6:31:56slow automation's rollout to prevent

6:31:58massive disruption will play out over

6:31:59the next 10 to 20 years. But once the

6:32:01first companies begin deploying new

6:32:03forms of automation, others are likely

6:32:05to rapidly follow suit to stay

6:32:06competitive. This ties directly into

6:32:09something that I've talked about a lot

6:32:10before, which is this tech adoption life

6:32:13cycle. So we have bam,

6:32:15bam, bam, bam. The tech adoption life

6:32:19cycle. Not to hop on about this over and

6:32:20over. We have the innovators here. We

6:32:23can ignore them. We have the early

6:32:24adopters, which is where we're selling

6:32:25most of our AI solutions right now. So

6:32:27early adopters are this segment here.

6:32:29And then we have the early majority

6:32:31which is this big chunk here. And then

6:32:34we have the late majority which we're

6:32:36not too interested in right now. But we

6:32:37are in the stage in the AI space right

6:32:39now. On the consumer side it's a little

6:32:41bit different cuz chat GPT is allowing

6:32:43us to the early majority is getting into

6:32:44chat GPT right now. But when it comes to

6:32:46business adoption of AI solutions, I can

6:32:48tell you firsthand and from all the

6:32:49thousands of people in my community that

6:32:51we're still in this early adopters

6:32:53category. And this is what they call the

6:32:55the chasm, crossing the chasm. So, I

6:32:58didn't really draw it as you would, but

6:32:59there's a there's a gap between early

6:33:00adoption and early majority. And it's

6:33:02the businesses right now who are able to

6:33:04jump from these early adopters who many

6:33:06of you are probably talking to when

6:33:07you're doing your lead generation,

6:33:08you're making content, you'll be talking

6:33:09to a lot of early adopters in the space,

6:33:12who are interested in just trying AI out

6:33:13in their business because they know it's

6:33:15the future and they're willing to

6:33:15experiment and they see where it's going

6:33:17to go. They're not as worried in direct

6:33:20ROI, but more on just being in the front

6:33:22foot. So they will take a bit of their

6:33:23profits and reinvest it into AI just

6:33:25purely on the potential for what it

6:33:26could do for their business long term.

6:33:28But this early majority take a lot more

6:33:30evidence and data. They're going to wait

6:33:32for the early adopters to have a go with

6:33:34it. Let me know. I want to see some

6:33:36data. I want to see it actually working

6:33:37and then I'm going to jump in and start

6:33:38using it. So that's what this chasm is.

6:33:40And this is the information that allows

6:33:44you to start tapping in to this early

6:33:46majority. You can say I bought this

6:33:48system for your competitor. Do you want

6:33:50it? Are you interested in it? he is or

6:33:52she is an early adopter. you've sold it

6:33:54to this person initially that you've

6:33:56used their money basically to build the

6:33:58thing out and do all the R&D for it and

6:34:00now you can go to these early majority

6:34:02and start reaching out to a much broader

6:34:03part of the the business owner

6:34:04population and start sending this these

6:34:06kind of messages where it's hey you are

6:34:08in this category and you need

6:34:11information like this here's all the

6:34:12proof here's how it worked here's a demo

6:34:14of it would you be interested and now

6:34:16you are able to start tapping into this

6:34:17much larger chunk of the business owner

6:34:20population or business owner market

6:34:22globally wherever you want

6:34:24niche that down to. But broadly

6:34:27speaking, this section of the early

6:34:28majority is what you're able to tap

6:34:29into. And that is really what the race

6:34:31is on for right now between you, me,

6:34:33everyone else in the AI agency space,

6:34:34the small group of us that are after

6:34:36this opportunity right now. We are

6:34:38gunning for this. And so if you're able

6:34:39to build a solution for a business that

6:34:41is high value and easy to deliver, you

6:34:43go and find more businesses like that.

6:34:45You start to send messages and let them

6:34:47know that, hey, I've built stuff for

6:34:48your competitors. Would you be

6:34:49interested in learning more about it?

6:34:50you are going to see a sizable increase

6:34:52in the response rate when you are

6:34:53reaching out to businesses. So, I think

6:34:55that's all I want to cover for this

6:34:56video. I know that's been quite a

6:34:57synthesis of all the different stuff

6:34:58that I talked about on the channel. But

6:35:00if you're new to the channel and you

6:35:01don't know who I am or what the hell I'm

6:35:02talking about, then go back and watch my

6:35:03other videos. There's plenty of stuff on

6:35:04the channel talking about this, me in

6:35:06front of the whiteboard, waving my hands

6:35:07around. But this information is so

6:35:08important for you to understand. If you

6:35:09are looking to do this longterm and

6:35:10scale your agency, as myself and the

6:35:12team at Morningside are doing right now,

6:35:13we are looking to break past that

6:35:15ceiling that we've hit for so long. And

6:35:17to do that, we need to niche down. We've

6:35:18realized that and this is the way that

6:35:20we've done it. I'm just sharing with you

6:35:21what we do so that you guys can do it in

6:35:23your agency as well and see similar

6:35:24success. So, aside from that, if you've

6:35:26enjoyed, leave a like. Uh, subscribe to

6:35:28the channel for more videos like this

6:35:30and leave a comment if there's anything

6:35:31that you want me to cover in future. If

6:35:32you have any questions about any of

6:35:34this, please drop it down below. If

6:35:35there's good questions, I will go and

6:35:36reply to them. If it's just rubbish,

6:35:38then I'm not going to bother replying to

6:35:39them, by the way. So, yeah, that's the

6:35:40difficulty value matrix. That's all for

6:35:42this video. See you in the next one.

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