Full transcript
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.