So You Learned Claude, Now What?

So, you've learned everything you can So, you've learned everything you can about Claude. You can build agents, about Claude. You can build agents, about Claude. You can build agents, automations, and complex systems, but automations, and complex systems, but automations, and complex systems, but what do you do now? Do you start an AI what do you do now? Do you start an AI what do you do now? Do you start an AI agency? Do you sell automations, or do agency? Do you sell automations, or do agency? Do you sell automations, or do you build software for work companies? you build software for work companies? you build software for work companies? There are so many different options out There are so many different options out There are so many different options out there, but 90% of those options aren't there, but 90% of those options aren't there, but 90% of those options aren't relevant to the average viewer of this relevant to the average viewer of this relevant to the average viewer of this channel. And I understand that most of channel. And I understand that most of channel. And I understand that most of you guys work normal jobs, you have you guys work normal jobs, you have you guys work normal jobs, you have corporate careers, and much prefer the corporate careers, and much prefer the corporate careers, and much prefer the security of being employed than, you security of being employed than, you security of being employed than, you know, the ups and [music] downs of being know, the ups and [music] downs of being know, the ups and [music] downs of being self-employed. But with the AI space self-employed. But with the AI space self-employed. But with the AI space changing like every single day, that changing like every single day, that changing like every single day, that security that most of you are used to is security that most of you are used to is security that most of you are used to is disappearing. So, in this video, I'll disappearing. So, in this video, I'll disappearing. So, in this video, I'll show you the best thing that you can do show you the best thing that you can do show you the best thing that you can do right now to make money with your Claude right now to make money with your Claude right now to make money with your Claude skills inside of your preferred career skills inside of your preferred career skills inside of your preferred career and the exact roadmap to do so. So, and the exact roadmap to do so. So, and the exact roadmap to do so. So, let's get into it. Before I give you the let's get into it. Before I give you the let's get into it. Before I give you the actual roadmap, there is one thing that actual roadmap, there is one thing that actual roadmap, there is one thing that you have to understand first, which is you have to understand first, which is you have to understand first, which is the AI space never stops moving. It does the AI space never stops moving. It does the AI space never stops moving. It does not sit still for a second. So, getting not sit still for a second. So, getting not sit still for a second. So, getting really good at Claude right now on its really good at Claude right now on its really good at Claude right now on its own means almost nothing long-term own means almost nothing long-term own means almost nothing long-term because the tools are going to change. because the tools are going to change. because the tools are going to change. So, what actually matters are the skills So, what actually matters are the skills So, what actually matters are the skills underneath the tool and learning how to underneath the tool and learning how to underneath the tool and learning how to take those skills and apply them to take those skills and apply them to take those skills and apply them to every new phase of AI as it shows up. every new phase of AI as it shows up. every new phase of AI as it shows up. And the reason that matters so much is And the reason that matters so much is And the reason that matters so much is because the AI space has never really because the AI space has never really because the AI space has never really had one fixed best job or one best had one fixed best job or one best had one fixed best job or one best business model. It keeps swapping them business model. It keeps swapping them business model. It keeps swapping them out every year or so. And every single out every year or so. And every single out every year or so. And every single time it does, a brand new window opens time it does, a brand new window opens time it does, a brand new window opens up for whoever is paying [music] up for whoever is paying [music] up for whoever is paying [music] attention. So, let me walk you through attention. So, let me walk you through attention. So, let me walk you through what I mean real quick. So, if you what I mean real quick. So, if you what I mean real quick. So, if you rewind about a year back when AI first rewind about a year back when AI first rewind about a year back when AI first really started blowing up, the first really started blowing up, the first really started blowing up, the first real paid gigs were pretty simple. You real paid gigs were pretty simple. You real paid gigs were pretty simple. You could be the person who set up one could be the person who set up one could be the person who set up one automation or one chatbot for a small automation or one chatbot for a small automation or one chatbot for a small business or [music] a team, and that business or [music] a team, and that business or [music] a team, and that alone was enough to get you paid pretty alone was enough to get you paid pretty alone was enough to get you paid pretty well. But obviously that shifted pretty well. But obviously that shifted pretty well. But obviously that shifted pretty quick. It became the whole AI systems quick. It became the whole AI systems quick. It became the whole AI systems phase, or what most people now are phase, or what most people now are phase, or what most people now are calling the AI automation agency phase.

calling the AI automation agency phase. calling the AI automation agency phase. Everybody's, you know, trying to Everybody's, you know, trying to Everybody's, you know, trying to productize services, spinning up productize services, spinning up productize services, spinning up agencies, and selling done-for-you agencies, and selling done-for-you agencies, and selling done-for-you systems [music] left and right. But then systems [music] left and right. But then systems [music] left and right. But then it sort of shifted again, you know, over it sort of shifted again, you know, over it sort of shifted again, you know, over to the AI agent builder era. And this is to the AI agent builder era. And this is to the AI agent builder era. And this is where people stopped building those where people stopped building those where people stopped building those simple little automations, and they simple little automations, and they simple little automations, and they started building agents that can started building agents that can started building agents that can actually think and execute a ton of actually think and execute a ton of actually think and execute a ton of these repetitive tasks [music] that we these repetitive tasks [music] that we these repetitive tasks [music] that we all do every single day. And then we get all do every single day. And then we get all do every single day. And then we get to the newest phase, the agentic one. to the newest phase, the agentic one. to the newest phase, the agentic one. Gartner is projecting around $202 Gartner is projecting around $202 Gartner is projecting around $202 billion in spending on agentic AI in billion in spending on agentic AI in billion in spending on agentic AI in 2026 alone. So, if you just think about 2026 alone. So, if you just think about 2026 alone. So, if you just think about that for a second, companies are pouring that for a second, companies are pouring that for a second, companies are pouring that kind of money into AI [music] that that kind of money into AI [music] that that kind of money into AI [music] that doesn't just answer your questions, but doesn't just answer your questions, but doesn't just answer your questions, but it actually goes and does the work for it actually goes and does the work for it actually goes and does the work for you. And that seems to be the phase that you. And that seems to be the phase that you. And that seems to be the phase that we're currently sitting in right now. we're currently sitting in right now. we're currently sitting in right now. But the pattern that I really want you But the pattern that I really want you But the pattern that I really want you to catch there is that every single time to catch there is that every single time to catch there is that every single time one of these phases changed, the people one of these phases changed, the people one of these phases changed, the people who moved early, you know, were able to who moved early, you know, were able to who moved early, you know, were able to catch and ride the wave. And the people catch and ride the wave. And the people catch and ride the wave. And the people who stayed glued to the old phase ended who stayed glued to the old phase ended who stayed glued to the old phase ended up fighting just to survive in the new up fighting just to survive in the new up fighting just to survive in the new super crowded sort of race to the bottom super crowded sort of race to the bottom super crowded sort of race to the bottom market. It was never really about market. It was never really about market. It was never really about learning the specific tool, it was about learning the specific tool, it was about learning the specific tool, it was about understanding what the tools could understanding what the tools could understanding what the tools could actually do and what the value of that actually do and what the value of that actually do and what the value of that was to actual human people. And the was to actual human people. And the was to actual human people. And the crazy part is that the building itself crazy part is that the building itself crazy part is that the building itself is getting easier every single month.

is getting easier every single month. is getting easier every single month. The barrier to entry keeps lowering. The barrier to entry keeps lowering. The barrier to entry keeps lowering. McKinsey found that around 88% of McKinsey found that around 88% of McKinsey found that around 88% of organizations are now using AI somewhere organizations are now using AI somewhere organizations are now using AI somewhere in their business, but only about a in their business, but only about a in their business, but only about a third of them have actually turned that third of them have actually turned that third of them have actually turned that into real projects. So, just going to into real projects. So, just going to into real projects. So, just going to repeat that real quick. Almost everyone repeat that real quick. Almost everyone repeat that real quick. Almost everyone is using AI, but almost nobody is good is using AI, but almost nobody is good is using AI, but almost nobody is good at AI. And that gap right there is the at AI. And that gap right there is the at AI. And that gap right there is the entire opportunity. So, the next phase entire opportunity. So, the next phase entire opportunity. So, the next phase isn't some new flavor of builder. The isn't some new flavor of builder. The isn't some new flavor of builder. The value is shifting to the person who value is shifting to the person who value is shifting to the person who decides what to build in the first decides what to build in the first decides what to build in the first place, why you're even building it, and place, why you're even building it, and place, why you're even building it, and whether the thing actually worked. And whether the thing actually worked. And whether the thing actually worked. And that person is an AI consultant. Now, a that person is an AI consultant. Now, a that person is an AI consultant. Now, a consultant is really just the person who consultant is really just the person who consultant is really just the person who figures out what's actually wrong and figures out what's actually wrong and figures out what's actually wrong and then figures out how to fix it. So, then figures out how to fix it. So, then figures out how to fix it. So, instead of just sitting there and doing instead of just sitting there and doing instead of just sitting there and doing whatever they're told to do, think about whatever they're told to do, think about whatever they're told to do, think about it like a doctor versus a pharmacist. A it like a doctor versus a pharmacist. A it like a doctor versus a pharmacist. A pharmacist will basically just hand you pharmacist will basically just hand you pharmacist will basically just hand you exactly what you're asking for, but a exactly what you're asking for, but a exactly what you're asking for, but a doctor has to figure out what you doctor has to figure out what you doctor has to figure out what you actually need. So, builders are kind of actually need. So, builders are kind of actually need. So, builders are kind of like the pharmacists and consultants are like the pharmacists and consultants are like the pharmacists and consultants are the doctors. And the doctor is the one the doctors. And the doctor is the one the doctors. And the doctor is the one who gets paid the real money because who gets paid the real money because who gets paid the real money because clients never actually know what they clients never actually know what they clients never actually know what they need. They just know what hurts. So, need. They just know what hurts. So, need. They just know what hurts. So, your job isn't being the fastest person your job isn't being the fastest person your job isn't being the fastest person at the build, your job is naming the at the build, your job is naming the at the build, your job is naming the real problem in the first place. And of real problem in the first place. And of real problem in the first place. And of course, the money backs all of this up. course, the money backs all of this up. course, the money backs all of this up. AI consulting market is expected to grow AI consulting market is expected to grow AI consulting market is expected to grow past $64 billion by 2028, and there's a past $64 billion by 2028, and there's a past $64 billion by 2028, and there's a giant gap to fill here. Roughly 30% of giant gap to fill here. Roughly 30% of giant gap to fill here. Roughly 30% of company AI projects just get abandoned, company AI projects just get abandoned, company AI projects just get abandoned, and only about 6% of companies using AI and only about 6% of companies using AI and only about 6% of companies using AI are actually good at it. So, almost are actually good at it. So, almost are actually good at it. So, almost every business out there is pretty bad every business out there is pretty bad every business out there is pretty bad at this right now. And the important at this right now. And the important at this right now. And the important part is that they know they're bad at part is that they know they're bad at part is that they know they're bad at it. And this is exactly where the it. And this is exactly where the it. And this is exactly where the consultant walks right in to help. So, consultant walks right in to help. So, consultant walks right in to help. So, the best move that you can make right the best move that you can make right the best move that you can make right now is to become that consultant. But now is to become that consultant. But now is to become that consultant. But there are actually two completely there are actually two completely there are actually two completely different roads into that role. And the different roads into that role. And the different roads into that role. And the one that you take really comes down to one that you take really comes down to one that you take really comes down to the type of person that you are. So, the type of person that you are. So, the type of person that you are. So, road number one is the independent AI road number one is the independent AI road number one is the independent AI consultant. This is where you go into

consultant. This is where you go into consultant. This is where you go into other businesses, you find their other businesses, you find their other businesses, you find their problems, and then you prescribe and problems, and then you prescribe and problems, and then you prescribe and build the AI solutions that fixes them. build the AI solutions that fixes them. build the AI solutions that fixes them. It's really just AI agency idea, but It's really just AI agency idea, but It's really just AI agency idea, but you're just framing yourself way more as you're just framing yourself way more as you're just framing yourself way more as a long-term partner rather than a team a long-term partner rather than a team a long-term partner rather than a team of scrappy devs who can build AI of scrappy devs who can build AI of scrappy devs who can build AI automations. Because instead of selling automations. Because instead of selling automations. Because instead of selling those automations, you're selling the those automations, you're selling the those automations, you're selling the actual solution to a specific problem. actual solution to a specific problem. actual solution to a specific problem. And full disclosure, this is pretty much And full disclosure, this is pretty much And full disclosure, this is pretty much the road that I went down myself, so it the road that I went down myself, so it the road that I went down myself, so it pretty well. But, road number two is pretty well. But, road number two is pretty well. But, road number two is more of the in-house AI consultant. And more of the in-house AI consultant. And more of the in-house AI consultant. And this is the door that I want to start this is the door that I want to start this is the door that I want to start talking about more on my channel, as talking about more on my channel, as talking about more on my channel, as I've realized not everyone wants to I've realized not everyone wants to I've realized not everyone wants to start their own consulting practice. So, start their own consulting practice. So, start their own consulting practice. So, instead of consulting a bunch of instead of consulting a bunch of instead of consulting a bunch of different companies from the outside, different companies from the outside, different companies from the outside, you basically just become the go-to AI you basically just become the go-to AI you basically just become the go-to AI person inside of one single company. And person inside of one single company. And person inside of one single company. And that company could even be the one that that company could even be the one that that company could even be the one that you're already working at right now. And you're already working at right now. And you're already working at right now. And of course, companies are starting to of course, companies are starting to of course, companies are starting to take this very seriously. They're take this very seriously. They're take this very seriously. They're starting to hire in-house AI leaders starting to hire in-house AI leaders starting to hire in-house AI leaders with real titles, things like a chief AI with real titles, things like a chief AI with real titles, things like a chief AI officer or a director of AI. And a lot officer or a director of AI. And a lot officer or a director of AI. And a lot of these roles are paying into the low of these roles are paying into the low of these roles are paying into the low to mid six figures. IBM actually just to mid six figures. IBM actually just to mid six figures. IBM actually just put out their 2026 CEO [music] study, put out their 2026 CEO [music] study, put out their 2026 CEO [music] study, and they found that 76% of organizations and they found that 76% of organizations and they found that 76% of organizations now have someone in a chief AI officer now have someone in a chief AI officer now have someone in a chief AI officer type of role. And that's up from just type of role. And that's up from just type of role. And that's up from just 26% 2 years ago. So, that nearly tripled 26% 2 years ago. So, that nearly tripled 26% 2 years ago. So, that nearly tripled in a record amount of time for a C-suite in a record amount of time for a C-suite in a record amount of time for a C-suite role. Now, I do want to be fair about role. Now, I do want to be fair about role. Now, I do want to be fair about that number for a second. That study that number for a second. That study that number for a second. That study only surveyed about 2,000 CEOs, and only surveyed about 2,000 CEOs, and only surveyed about 2,000 CEOs, and these were pretty massive companies.

these were pretty massive companies. these were pretty massive companies. We're talking a median revenue of around We're talking a median revenue of around We're talking a median revenue of around $5.8 billion, and almost four out of $5.8 billion, and almost four out of $5.8 billion, and almost four out of five of them were publicly traded. So, five of them were publicly traded. So, five of them were publicly traded. So, that 76% number is really just, you that 76% number is really just, you that 76% number is really just, you know, giant enterprises racing to fill know, giant enterprises racing to fill know, giant enterprises racing to fill the seat first. and mid-size businesses, the seat first. and mid-size businesses, the seat first. and mid-size businesses, which is where most of you guys will try which is where most of you guys will try which is where most of you guys will try to be working and consulting for, I'm to be working and consulting for, I'm to be working and consulting for, I'm assuming, that market is still very much assuming, that market is still very much assuming, that market is still very much wide open. So, if anything, that tells wide open. So, if anything, that tells wide open. So, if anything, that tells me there is a ton of room left for the me there is a ton of room left for the me there is a ton of room left for the rest of us to just walk right in. And rest of us to just walk right in. And rest of us to just walk right in. And the cool part is that both of these the cool part is that both of these the cool part is that both of these roads are basically the same idea, roads are basically the same idea, roads are basically the same idea, meaning you diagnose the problem, you meaning you diagnose the problem, you meaning you diagnose the problem, you prescribe the [music] AI solution, and prescribe the [music] AI solution, and prescribe the [music] AI solution, and then you prove that it actually worked. then you prove that it actually worked. then you prove that it actually worked. The only real difference is whether The only real difference is whether The only real difference is whether you're doing that for a bunch of you're doing that for a bunch of you're doing that for a bunch of companies or just one. And it doesn't companies or just one. And it doesn't companies or just one. And it doesn't matter what tool you end up using as matter what tool you end up using as matter what tool you end up using as long as you can bring real results, long as you can bring real results, long as you can bring real results, which is why the skills matter so much which is why the skills matter so much which is why the skills matter so much more. The independent road is going to more. The independent road is going to more. The independent road is going to fit you if you want full ownership of fit you if you want full ownership of fit you if you want full ownership of your time, you like variety, and you your time, you like variety, and you your time, you like variety, and you don't mind doing things like sales calls don't mind doing things like sales calls don't mind doing things like sales calls and going out to find your own clients. and going out to find your own clients. and going out to find your own clients. The in-house road fits you better if The in-house road fits you better if The in-house road fits you better if you'd rather have stability, you want you'd rather have stability, you want you'd rather have stability, you want one place where you can go really deep, one place where you can go really deep, one place where you can go really deep, and you like the idea of a steady and you like the idea of a steady and you like the idea of a steady paycheck while you do it, and not having paycheck while you do it, and not having paycheck while you do it, and not having to like pivot out of your job and try to to like pivot out of your job and try to to like pivot out of your job and try to start your own business. So, I'm not start your own business. So, I'm not start your own business. So, I'm not sitting here telling you that one path sitting here telling you that one path sitting here telling you that one path is better than the other. It really is better than the other. It really is better than the other. It really comes down to your goals, your comes down to your goals, your comes down to your goals, your experience, what you want out of life, experience, what you want out of life, experience, what you want out of life, and you know, what you want out of this and you know, what you want out of this and you know, what you want out of this whole AI opportunity in the first place.

whole AI opportunity in the first place. whole AI opportunity in the first place. And look, I get it. There's a million And look, I get it. There's a million And look, I get it. There's a million people out there telling you what to do people out there telling you what to do people out there telling you what to do with AI right now. So, before we keep with AI right now. So, before we keep with AI right now. So, before we keep going, I want to give you a little bit going, I want to give you a little bit going, I want to give you a little bit of context on why I'm even the one of context on why I'm even the one of context on why I'm even the one standing here telling you all [music] standing here telling you all [music] standing here telling you all [music] this, because I've kind of been on both this, because I've kind of been on both this, because I've kind of been on both sides of what we just talked about. I sides of what we just talked about. I sides of what we just talked about. I actually started full-time out of actually started full-time out of actually started full-time out of college at Goldman Sachs. And when AI college at Goldman Sachs. And when AI college at Goldman Sachs. And when AI first really started taking off, I was first really started taking off, I was first really started taking off, I was the guy on the team who was researching the guy on the team who was researching the guy on the team who was researching it on the side and who was obsessed with it on the side and who was obsessed with it on the side and who was obsessed with it, playing around with it in my free it, playing around with it in my free it, playing around with it in my free time, and even trying to like show my time, and even trying to like show my time, and even trying to like show my team and pitch it to my team. I team and pitch it to my team. I team and pitch it to my team. I genuinely wanted to be like the in-house genuinely wanted to be like the in-house genuinely wanted to be like the in-house AI person. I was kind of hoping I could AI person. I was kind of hoping I could AI person. I was kind of hoping I could like, you know, spearhead a new like, you know, spearhead a new like, you know, spearhead a new initiative or work on AI projects at initiative or work on AI projects at initiative or work on AI projects at Goldman. But, it's obviously a massive Goldman. But, it's obviously a massive Goldman. But, it's obviously a massive firm with a ton of regulation and a ton firm with a ton of regulation and a ton firm with a ton of regulation and a ton of change management issues, and the of change management issues, and the of change management issues, and the whole thing [music] just felt way too whole thing [music] just felt way too whole thing [music] just felt way too slow for what I wanted to do. So, that's slow for what I wanted to do. So, that's slow for what I wanted to do. So, that's when I ended up making a bet on myself when I ended up making a bet on myself when I ended up making a bet on myself and pivoting [music] out of that role. A and pivoting [music] out of that role. A and pivoting [music] out of that role. A little while after that, I was doing a little while after that, I was doing a little while after that, I was doing a lot of freelance work. I started my own lot of freelance work. I started my own lot of freelance work. I started my own AI agency called True Horizon with a AI agency called True Horizon with a AI agency called True Horizon with a couple of business partners, and we couple of business partners, and we couple of business partners, and we scaled that thing past $100,000 a month scaled that thing past $100,000 a month scaled that thing past $100,000 a month in under a year, and I ended up exiting in under a year, and I ended up exiting in under a year, and I ended up exiting it because [music] I just realized that it because [music] I just realized that it because [music] I just realized that I was way more passionate about I was way more passionate about I was way more passionate about educating and getting in front of people educating and getting in front of people educating and getting in front of people and helping as many people as I could and helping as many people as I could and helping as many people as I could figure out how to use this stuff for figure out how to use this stuff for figure out how to use this stuff for themselves, which basically led me to themselves, which basically led me to themselves, which basically led me to where I am now, building what is the where I am now, building what is the where I am now, building what is the largest AI automation community in the largest AI automation community in the largest AI automation community in the world. We've got over 400,000 members world. We've got over 400,000 members world. We've got over 400,000 members and all this happened in just under 2 and all this happened in just under 2 and all this happened in just under 2 years. Now, the reason I'm telling you years. Now, the reason I'm telling you years. Now, the reason I'm telling you guys this isn't to flex. It's basically guys this isn't to flex. It's basically guys this isn't to flex. It's basically just to say that I have a big community just to say that I have a big community just to say that I have a big community and I'm able to see what's actually and I'm able to see what's actually and I'm able to see what's actually happening in the market, and I still get happening in the market, and I still get happening in the market, and I still get to see what business owners are trying, to see what business owners are trying, to see what business owners are trying, what employers are trying, what aspiring what employers are trying, what aspiring what employers are trying, what aspiring entrepreneurs are trying. And I've entrepreneurs are trying. And I've entrepreneurs are trying. And I've noticed that there's a ton of content noticed that there's a ton of content noticed that there's a ton of content out there about how to start an AI out there about how to start an AI out there about how to start an AI business, but most of you guys aren't business, but most of you guys aren't business, but most of you guys aren't trying to do that or want to do that, or trying to do that or want to do that, or trying to do that or want to do that, or you think that's the only option. But, you think that's the only option. But, you think that's the only option. But, most of you might just want to advance most of you might just want to advance most of you might just want to advance in your career as an employee or maybe in your career as an employee or maybe in your career as an employee or maybe get a better job or promotion or more get a better job or promotion or more get a better job or promotion or more security. And almost nobody is putting

security. And almost nobody is putting security. And almost nobody is putting out the stuff that actually helps you out the stuff that actually helps you out the stuff that actually helps you guys do that. Now, the other important guys do that. Now, the other important guys do that. Now, the other important thing I want you to hear is that I don't thing I want you to hear is that I don't thing I want you to hear is that I don't have a technical background. Like I came have a technical background. Like I came have a technical background. Like I came from marketing and analytics. I'm not an from marketing and analytics. I'm not an from marketing and analytics. I'm not an engineer and I never have been. And only engineer and I never have been. And only engineer and I never have been. And only reason this matters is because the reason this matters is because the reason this matters is because the barrier to entry on actually learning barrier to entry on actually learning barrier to entry on actually learning this stuff has basically dropped to this stuff has basically dropped to this stuff has basically dropped to zero. Like anyone can do this now. So, zero. Like anyone can do this now. So, zero. Like anyone can do this now. So, if you're sitting there wondering, can I if you're sitting there wondering, can I if you're sitting there wondering, can I even learn this? That's just not even a even learn this? That's just not even a even learn this? That's just not even a question you should be asking anymore. question you should be asking anymore. question you should be asking anymore. The answer is yes. The real question The answer is yes. The real question The answer is yes. The real question that matters is this. When someone asks that matters is this. When someone asks that matters is this. When someone asks you, why should I hire you over the you, why should I hire you over the you, why should I hire you over the person who watched the exact same amount person who watched the exact same amount person who watched the exact same amount [music] of YouTube tutorials and knows [music] of YouTube tutorials and knows [music] of YouTube tutorials and knows the exact same terminology and has the the exact same terminology and has the the exact same terminology and has the same experience as you. You have to same experience as you. You have to same experience as you. You have to think about how you answer that think about how you answer that think about how you answer that question. Because the people who win in question. Because the people who win in question. Because the people who win in this market aren't the ones who learned this market aren't the ones who learned this market aren't the ones who learned the most, they're the ones who can the most, they're the ones who can the most, they're the ones who can actually prove they can deliver real actually prove they can deliver real actually prove they can deliver real business results. So, that right there business results. So, that right there business results. So, that right there is the core question. It's also a big is the core question. It's also a big is the core question. It's also a big part of why we've been building part of why we've been building part of why we've been building something silently on our end to help something silently on our end to help something silently on our end to help you guys out with credibility, but more you guys out with credibility, but more you guys out with credibility, but more on that later. For now, just sit with on that later. For now, just sit with on that later. For now, just sit with that question for a sec because [music] that question for a sec because [music] that question for a sec because [music] no matter which of these roads you go no matter which of these roads you go no matter which of these roads you go down, that question is exactly what your down, that question is exactly what your down, that question is exactly what your entire path comes down to. And you will entire path comes down to. And you will entire path comes down to. And you will get asked that question. Now, the great get asked that question. Now, the great get asked that question. Now, the great thing is that no matter which of those thing is that no matter which of those thing is that no matter which of those two roads sounds more like you, becoming two roads sounds more like you, becoming two roads sounds more like you, becoming an AI consultant is probably the next an AI consultant is probably the next an AI consultant is probably the next natural step in your journey. And I want natural step in your journey. And I want natural step in your journey. And I want to break that down for a second because to break that down for a second because to break that down for a second because there are basically, in my mind, four there are basically, in my mind, four there are basically, in my mind, four types of people who are probably types of people who are probably types of people who are probably watching this right now. And this move watching this right now. And this move watching this right now. And this move makes sense for every single one of makes sense for every single one of makes sense for every single one of these four buckets. The first type is these four buckets. The first type is these four buckets. The first type is the person who's just building with the person who's just building with the person who's just building with Claude as a passion project. And hey, if Claude as a passion project. And hey, if Claude as a passion project. And hey, if that's you, there's nothing wrong with that's you, there's nothing wrong with that's you, there's nothing wrong with that. It's totally fine. But if you can that. It's totally fine. But if you can that. It's totally fine. But if you can actually monetize what you're doing in actually monetize what you're doing in actually monetize what you're doing in some way, it does two big things for some way, it does two big things for some way, it does two big things for you. First, it validates that you're you. First, it validates that you're you. First, it validates that you're actually good at this because it's actually good at this because it's actually good at this because it's probably the cheapest way to find out if probably the cheapest way to find out if probably the cheapest way to find out if your skills are good enough where your skills are good enough where your skills are good enough where someone's willing to pay for them. And someone's willing to pay for them. And someone's willing to pay for them. And second, it funds the hobby. You know, second, it funds the hobby. You know, second, it funds the hobby. You know, there's so many new AI tools and, you there's so many new AI tools and, you there's so many new AI tools and, you know, tokens are expensive and know, tokens are expensive and know, tokens are expensive and subscriptions are expensive. So, if you

subscriptions are expensive. So, if you subscriptions are expensive. So, if you can have a little bit of extra cash can have a little bit of extra cash can have a little bit of extra cash coming in on the side, then you can just coming in on the side, then you can just coming in on the side, then you can just keep playing with this stuff and maybe keep playing with this stuff and maybe keep playing with this stuff and maybe keep experimenting with even more tools. keep experimenting with even more tools. keep experimenting with even more tools. Now, the second type of person is the Now, the second type of person is the Now, the second type of person is the aspiring entrepreneur. The person who aspiring entrepreneur. The person who aspiring entrepreneur. The person who actually wants to make real money with actually wants to make real money with actually wants to make real money with this and wants to build a business. And this and wants to build a business. And this and wants to build a business. And if that's you, you've built a skill in a if that's you, you've built a skill in a if that's you, you've built a skill in a market with massive demand and almost market with massive demand and almost market with massive demand and almost nobody who can deliver on it. So, just nobody who can deliver on it. So, just nobody who can deliver on it. So, just look at the numbers. The World Economic look at the numbers. The World Economic look at the numbers. The World Economic Forum projects that AI is going to Forum projects that AI is going to Forum projects that AI is going to create around 170 million new jobs by create around 170 million new jobs by create around 170 million new jobs by 2030. And even if you subtract, you 2030. And even if you subtract, you 2030. And even if you subtract, you know, all the roles that it's going to know, all the roles that it's going to know, all the roles that it's going to replace or change, that's still a net replace or change, that's still a net replace or change, that's still a net gain of about 80 million jobs. On top of gain of about 80 million jobs. On top of gain of about 80 million jobs. On top of that, roughly half of all tech job that, roughly half of all tech job that, roughly half of all tech job postings in the US already ask for AI postings in the US already ask for AI postings in the US already ask for AI skills, and that number doubled in just skills, and that number doubled in just skills, and that number doubled in just 1 year. So, you've got this giant wave 1 year. So, you've got this giant wave 1 year. So, you've got this giant wave of demand, and you've got barely anybody of demand, and you've got barely anybody of demand, and you've got barely anybody who can actually ride it. And what that who can actually ride it. And what that who can actually ride it. And what that means for you is that you don't have to means for you is that you don't have to means for you is that you don't have to be the best in the world, you just have be the best in the world, you just have be the best in the world, you just have to be the best one in the room. Now, the to be the best one in the room. Now, the to be the best one in the room. Now, the third type of person is the employee who third type of person is the employee who third type of person is the employee who just wants to level up at work. And this just wants to level up at work. And this just wants to level up at work. And this is the newest bucket of the bunch, and is the newest bucket of the bunch, and is the newest bucket of the bunch, and it's where that in-house road turns into it's where that in-house road turns into it's where that in-house road turns into an absolute cheat code. Because becoming an absolute cheat code. Because becoming an absolute cheat code. Because becoming your company's AI person protects your your company's AI person protects your your company's AI person protects your job. And on top of that, it basically job. And on top of that, it basically job. And on top of that, it basically works like a raise. PwC went through works like a raise. PwC went through works like a raise. PwC went through close to a billion job postings, and close to a billion job postings, and close to a billion job postings, and they found the pay premium for AI skills they found the pay premium for AI skills they found the pay premium for AI skills more than doubled in a single year, more than doubled in a single year, more than doubled in a single year, jumping from 21.5% all the way up to jumping from 21.5% all the way up to jumping from 21.5% all the way up to 56%. And the pay is only half of it.

56%. And the pay is only half of it. 56%. And the pay is only half of it. Another study put out a report where Another study put out a report where Another study put out a report where nearly two-thirds of employees admitted nearly two-thirds of employees admitted nearly two-thirds of employees admitted they had passed over someone for a they had passed over someone for a they had passed over someone for a promotion because their skills were promotion because their skills were promotion because their skills were outdated. So, the skills you already outdated. So, the skills you already outdated. So, the skills you already have are quietly becoming the thing that have are quietly becoming the thing that have are quietly becoming the thing that decides who moves up and who gets left decides who moves up and who gets left decides who moves up and who gets left behind. And the fourth type of person is behind. And the fourth type of person is behind. And the fourth type of person is someone who already owns a business. And someone who already owns a business. And someone who already owns a business. And for you, this one's almost too easy. You for you, this one's almost too easy. You for you, this one's almost too easy. You don't need to go hire some expensive don't need to go hire some expensive don't need to go hire some expensive consultant, and you don't need to go consultant, and you don't need to go consultant, and you don't need to go become one for hire either. You just become one for hire either. You just become one for hire either. You just consult your own business, you know, one consult your own business, you know, one consult your own business, you know, one process at a time. You already have the process at a time. You already have the process at a time. You already have the perfect first client, and it is you. perfect first client, and it is you. perfect first client, and it is you. There is one thing I want to call out There is one thing I want to call out There is one thing I want to call out that's pretty interesting because it that's pretty interesting because it that's pretty interesting because it changes how urgent all of this really changes how urgent all of this really changes how urgent all of this really is. And that's basically the label AI is. And that's basically the label AI is. And that's basically the label AI consultant. I think that it has an consultant. I think that it has an consultant. I think that it has an expiration date on it. Just like every expiration date on it. Just like every expiration date on it. Just like every other wave that we've talked about other wave that we've talked about other wave that we've talked about earlier, this one's also temporary. AI earlier, this one's also temporary. AI earlier, this one's also temporary. AI is going to seep into every single is going to seep into every single is going to seep into every single industry. It's going to fill the cracks, industry. It's going to fill the cracks, industry. It's going to fill the cracks, and it's going to seep into every single and it's going to seep into every single and it's going to seep into every single role out there. So, in a few years, role out there. So, in a few years, role out there. So, in a few years, nobody's probably going to be calling nobody's probably going to be calling nobody's probably going to be calling themselves an AI consultant anymore. themselves an AI consultant anymore. themselves an AI consultant anymore. It's just going to be consultant because It's just going to be consultant because It's just going to be consultant because every consultant is going to be using AI every consultant is going to be using AI every consultant is going to be using AI and has to be completely native with it. and has to be completely native with it. and has to be completely native with it. Because if they don't speak AI, they're Because if they don't speak AI, they're Because if they don't speak AI, they're really just not going to get business. really just not going to get business. really just not going to get business. So, just think about it like this. So, just think about it like this. So, just think about it like this. Somebody today, if they walked up to you Somebody today, if they walked up to you Somebody today, if they walked up to you and called themselves an Excel and called themselves an Excel and called themselves an Excel accountant, wouldn't that sound accountant, wouldn't that sound accountant, wouldn't that sound completely ridiculous? Because it's completely ridiculous? Because it's completely ridiculous? Because it's assumed that every accountant uses assumed that every accountant uses assumed that every accountant uses Excel. But if you rewind to when Excel Excel. But if you rewind to when Excel Excel. But if you rewind to when Excel maybe first came out, you might have a maybe first came out, you might have a maybe first came out, you might have a bunch of accountants that use Excel, but bunch of accountants that use Excel, but bunch of accountants that use Excel, but a bunch of them who still stick to the a bunch of them who still stick to the a bunch of them who still stick to the old way. So, maybe calling yourself, you old way. So, maybe calling yourself, you old way. So, maybe calling yourself, you know, an Excel accountant or listing know, an Excel accountant or listing know, an Excel accountant or listing that as one of your skills was that as one of your skills was that as one of your skills was important. It's a similar story with important. It's a similar story with important. It's a similar story with people who called themselves an internet people who called themselves an internet people who called themselves an internet marketer back when the internet first marketer back when the internet first marketer back when the internet first showed up. But now, that is just showed up. But now, that is just showed up. But now, that is just marketing. It's how everybody does it.

marketing. It's how everybody does it. marketing. It's how everybody does it. So, that's exactly where we're sitting So, that's exactly where we're sitting So, that's exactly where we're sitting with AI right now. The label is the part with AI right now. The label is the part with AI right now. The label is the part that's temporary, but the edge is real, that's temporary, but the edge is real, that's temporary, but the edge is real, the skills are real, and the window to the skills are real, and the window to the skills are real, and the window to grab it is wide open right now. It just grab it is wide open right now. It just grab it is wide open right now. It just won't stay open this wide forever. Now, won't stay open this wide forever. Now, won't stay open this wide forever. Now, I know what some of you are probably I know what some of you are probably I know what some of you are probably thinking. To go become an AI consultant thinking. To go become an AI consultant thinking. To go become an AI consultant or the AI in-house person at your job, or the AI in-house person at your job, or the AI in-house person at your job, you have to go quit your job tomorrow, you have to go quit your job tomorrow, you have to go quit your job tomorrow, go build some massive personal brand, go build some massive personal brand, go build some massive personal brand, start making YouTube videos, and bet start making YouTube videos, and bet start making YouTube videos, and bet your entire life on it. But you really your entire life on it. But you really your entire life on it. But you really don't. The whole point of this video is don't. The whole point of this video is don't. The whole point of this video is that there is a much smarter, much lower that there is a much smarter, much lower that there is a much smarter, much lower risk way to do this. So, let me set up risk way to do this. So, let me set up risk way to do this. So, let me set up the operating principle that makes the the operating principle that makes the the operating principle that makes the whole road map work, and then walk you whole road map work, and then walk you whole road map work, and then walk you guys through the four steps that you can guys through the four steps that you can guys through the four steps that you can start tomorrow. Because most people are start tomorrow. Because most people are start tomorrow. Because most people are approaching this completely wrong, and approaching this completely wrong, and approaching this completely wrong, and the difference is exactly why most the difference is exactly why most the difference is exactly why most builders never become consultants. The builders never become consultants. The builders never become consultants. The wrong move here is just looking at your wrong move here is just looking at your wrong move here is just looking at your job, finding the repetitive stuff, and job, finding the repetitive stuff, and job, finding the repetitive stuff, and automating it. And don't get me wrong, automating it. And don't get me wrong, automating it. And don't get me wrong, that's obviously not a bad thing to do. that's obviously not a bad thing to do. that's obviously not a bad thing to do. It just isn't what makes you super It just isn't what makes you super It just isn't what makes you super valuable. Because if you automate valuable. Because if you automate valuable. Because if you automate something that isn't actually something that isn't actually something that isn't actually constraining the [music] business, constraining the [music] business, constraining the [music] business, you've just spent a week saving maybe, you've just spent a week saving maybe, you've just spent a week saving maybe, you know, 20 minutes on a task that you know, 20 minutes on a task that you know, 20 minutes on a task that nobody was even waiting on. Nobody cares nobody was even waiting on. Nobody cares nobody was even waiting on. Nobody cares as much. So, the real move is two as much. So, the real move is two as much. So, the real move is two things. First, every single project that things. First, every single project that things. First, every single project that you build has to target [music] an you build has to target [music] an you build has to target [music] an actual constraint of the business. actual constraint of the business. actual constraint of the business. Something that if you fix it, the Something that if you fix it, the Something that if you fix it, the business gets faster or makes more money business gets faster or makes more money business gets faster or makes more money or stops bleeding somewhere that it or stops bleeding somewhere that it or stops bleeding somewhere that it shouldn't be [music] bleeding. And shouldn't be [music] bleeding. And shouldn't be [music] bleeding. And second, every single project needs a second, every single project needs a second, every single project needs a clear KPI tied to it before you start clear KPI tied to it before you start clear KPI tied to it before you start building it. A specific number that building it. A specific number that building it. A specific number that you're actually trying to move, and you're actually trying to move, and you're actually trying to move, and that's your North Star for that specific that's your North Star for that specific that's your North Star for that specific project. So, constraint comes first and project. So, constraint comes first and project. So, constraint comes first and KPI comes second. And what's important KPI comes second. And what's important KPI comes second. And what's important about that is it's how you actually about that is it's how you actually about that is it's how you actually communicate the value in a way that communicate the value in a way that communicate the value in a way that nobody else in this market is currently nobody else in this market is currently nobody else in this market is currently communicating it. Because anyone can communicating it. Because anyone can communicating it. Because anyone can say, "Hey, you know, I built this AI say, "Hey, you know, I built this AI say, "Hey, you know, I built this AI agent." Almost nobody can say, "I built agent." Almost nobody can say, "I built agent." Almost nobody can say, "I built an AI agent that moved this specific an AI agent that moved this specific an AI agent that moved this specific number by this much for this specific number by this much for this specific number by this much for this specific business, which resulted in X percent business, which resulted in X percent business, which resulted in X percent more profit or, you know, X more more profit or, you know, X more more profit or, you know, X more customers, or whatever the metric might

customers, or whatever the metric might customers, or whatever the metric might be." And that right there is what sets be." And that right there is what sets be." And that right there is what sets you apart. The full operating model you apart. The full operating model you apart. The full operating model behind this stuff lives in a book that behind this stuff lives in a book that behind this stuff lives in a book that I'm currently writing. But for the I'm currently writing. But for the I'm currently writing. But for the purposes of this road map, the rule is purposes of this road map, the rule is purposes of this road map, the rule is very simple. Constraint first, KPI very simple. Constraint first, KPI very simple. Constraint first, KPI second, build third. So, step one is to second, build third. So, step one is to second, build third. So, step one is to audit your own role. Sit down with that audit your own role. Sit down with that audit your own role. Sit down with that constraint lens that we just talked constraint lens that we just talked constraint lens that we just talked about and walk through your job. Instead about and walk through your job. Instead about and walk through your job. Instead of listing every repetitive thing you of listing every repetitive thing you of listing every repetitive thing you do, ask which one is actually slowing do, ask which one is actually slowing do, ask which one is actually slowing the team down or gating revenue or the team down or gating revenue or the team down or gating revenue or causing real pain somewhere downstream causing real pain somewhere downstream causing real pain somewhere downstream that nobody's currently solving. And that nobody's currently solving. And that nobody's currently solving. And that's your real list. Then for each that's your real list. Then for each that's your real list. Then for each item, write down the specific number item, write down the specific number item, write down the specific number you'd be trying to move if you fixed it, you'd be trying to move if you fixed it, you'd be trying to move if you fixed it, the specific metric. And that right the specific metric. And that right the specific metric. And that right there is your first project list, not there is your first project list, not there is your first project list, not the easy stuff, but the stuff that the easy stuff, but the stuff that the easy stuff, but the stuff that actually matters. Step two is to actually matters. Step two is to actually matters. Step two is to actually take on small projects. So, you actually take on small projects. So, you actually take on small projects. So, you pick one item off that list and you go pick one item off that list and you go pick one item off that list and you go scope out and build the solution for it. scope out and build the solution for it. scope out and build the solution for it. Then you go ask if you can implement it Then you go ask if you can implement it Then you go ask if you can implement it in just one area of the company, just in just one area of the company, just in just one area of the company, just one little corner of the business where one little corner of the business where one little corner of the business where you can actually test something, prove you can actually test something, prove you can actually test something, prove that it works, and show real results. that it works, and show real results. that it works, and show real results. Because those results, whatever they end Because those results, whatever they end Because those results, whatever they end up being, are basically your first case up being, are basically your first case up being, are basically your first case study. You can show it to your boss, you study. You can show it to your boss, you study. You can show it to your boss, you can show it to your team, you can put it can show it to your team, you can put it can show it to your team, you can put it on your portfolio, you can throw it up on your portfolio, you can throw it up on your portfolio, you can throw it up on LinkedIn, just so people start to on LinkedIn, just so people start to on LinkedIn, just so people start to notice. Step three is then to become an notice. Step three is then to become an notice. Step three is then to become an expert at solving problems, not just expert at solving problems, not just expert at solving problems, not just building. This is actually the most building. This is actually the most building. This is actually the most important step in the road map, because important step in the road map, because important step in the road map, because once you've done enough of those small once you've done enough of those small once you've done enough of those small builds, you start to see the patterns builds, you start to see the patterns builds, you start to see the patterns underneath them. You start to notice underneath them. You start to notice underneath them. You start to notice that businesses keep running into the that businesses keep running into the that businesses keep running into the same handful of problems over and over same handful of problems over and over same handful of problems over and over again. And that right there is the last again. And that right there is the last again. And that right there is the last skill that you need to become a real skill that you need to become a real skill that you need to become a real consultant. You stop being the person consultant. You stop being the person consultant. You stop being the person who just builds whatever they're handed, who just builds whatever they're handed, who just builds whatever they're handed, you're now the person who can walk into you're now the person who can walk into you're now the person who can walk into a situation, find the actual problem, a situation, find the actual problem, a situation, find the actual problem, design the system, and solve the design the system, and solve the design the system, and solve the problem. And the moment that happens, problem. And the moment that happens, problem. And the moment that happens, your coworkers start coming to you your coworkers start coming to you your coworkers start coming to you instead of the other way around. Then instead of the other way around. Then instead of the other way around. Then step four is to formalize it. Once step four is to formalize it. Once step four is to formalize it. Once you've shipped enough proof that the you've shipped enough proof that the you've shipped enough proof that the company actually needs this kind of company actually needs this kind of company actually needs this kind of person on the payroll, that's when you person on the payroll, that's when you person on the payroll, that's when you formalize it. You go to your boss or formalize it. You go to your boss or formalize it. You go to your boss or your leadership team with the evidence

your leadership team with the evidence your leadership team with the evidence and you propose the role yourself. Most and you propose the role yourself. Most and you propose the role yourself. Most of you guys aren't going to find this of you guys aren't going to find this of you guys aren't going to find this job posted on LinkedIn, you're going to job posted on LinkedIn, you're going to job posted on LinkedIn, you're going to maybe create it from the inside out. And maybe create it from the inside out. And maybe create it from the inside out. And the only reason you can pull that off is the only reason you can pull that off is the only reason you can pull that off is because you spent steps one through because you spent steps one through because you spent steps one through three quietly building the case for it. three quietly building the case for it. three quietly building the case for it. And even if the organization isn't ready And even if the organization isn't ready And even if the organization isn't ready to have that role yet, when they are to have that role yet, when they are to have that role yet, when they are ready, inevitably, you want to be the ready, inevitably, you want to be the ready, inevitably, you want to be the first name that pops into their heads. first name that pops into their heads. first name that pops into their heads. So, that's the whole road map. Audit, So, that's the whole road map. Audit, So, that's the whole road map. Audit, build, pattern recognize, formalize. build, pattern recognize, formalize. build, pattern recognize, formalize. Four steps. And remember how I talked Four steps. And remember how I talked Four steps. And remember how I talked about AI seeping into everything? You about AI seeping into everything? You about AI seeping into everything? You don't have to go learn a completely new don't have to go learn a completely new don't have to go learn a completely new industry. Just think about what you industry. Just think about what you industry. Just think about what you already do on the day-to-day, what are already do on the day-to-day, what are already do on the day-to-day, what are you good at, and how can AI help you you good at, and how can AI help you you good at, and how can AI help you move faster and be smarter and better move faster and be smarter and better move faster and be smarter and better outputs at what you already do. And the outputs at what you already do. And the outputs at what you already do. And the cool part here is that it's not cool part here is that it's not cool part here is that it's not theoretical. I actually sat down with theoretical. I actually sat down with theoretical. I actually sat down with someone in my community who ran this someone in my community who ran this someone in my community who ran this exact play in real time. Her name is exact play in real time. Her name is exact play in real time. Her name is Alan. About a year ago, she had spent 15 Alan. About a year ago, she had spent 15 Alan. About a year ago, she had spent 15 years as an email developer, so not years as an email developer, so not years as an email developer, so not super technical, no AI background. But super technical, no AI background. But super technical, no AI background. But her whole team was then let go and she her whole team was then let go and she her whole team was then let go and she had to figure out something new. So, she had to figure out something new. So, she had to figure out something new. So, she started learning an NN, she pivoted into started learning an NN, she pivoted into started learning an NN, she pivoted into cloud code, and while she was learning, cloud code, and while she was learning, cloud code, and while she was learning, she did the one thing that people skip, she did the one thing that people skip, she did the one thing that people skip, which is she built in public. She which is she built in public. She which is she built in public. She started two YouTube channels just started two YouTube channels just started two YouTube channels just showing off the stuff she was making. showing off the stuff she was making. showing off the stuff she was making. She posted her builds on LinkedIn. She She posted her builds on LinkedIn. She She posted her builds on LinkedIn. She recorded demos of every single thing recorded demos of every single thing recorded demos of every single thing that she had been working on. And the that she had been working on. And the that she had been working on. And the cool thing is she doesn't have thousands cool thing is she doesn't have thousands cool thing is she doesn't have thousands and thousands of subscribers and and thousands of subscribers and and thousands of subscribers and followers. She just has proof. So, when followers. She just has proof. So, when followers. She just has proof. So, when she applied for a head of AI role at a she applied for a head of AI role at a she applied for a head of AI role at a 15-person company called Young, the 15-person company called Young, the 15-person company called Young, the recruiter sent her an email with one recruiter sent her an email with one recruiter sent her an email with one question on it, which was, "What have question on it, which was, "What have question on it, which was, "What have you built?" And remember that is the you built?" And remember that is the you built?" And remember that is the exact question I told you decides who exact question I told you decides who exact question I told you decides who wins in this market. So, instead of her wins in this market. So, instead of her wins in this market. So, instead of her having to type up some long vague having to type up some long vague having to type up some long vague explanation, she just sent links. She explanation, she just sent links. She explanation, she just sent links. She just sent her case study. She sent real just sent her case study. She sent real just sent her case study. She sent real proof. And she was able to skip HR proof. And she was able to skip HR proof. And she was able to skip HR entirely, go straight to the CEO, and entirely, go straight to the CEO, and entirely, go straight to the CEO, and she got the job. [music] So, in a year she got the job. [music] So, in a year she got the job. [music] So, in a year from basically no AI to head of AI is from basically no AI to head of AI is from basically no AI to head of AI is really cool. If you guys want to see the really cool. If you guys want to see the really cool. If you guys want to see the full interview I did with her, I will full interview I did with her, I will full interview I did with her, I will tag that right up here so you guys can

tag that right up here so you guys can tag that right up here so you guys can check that out. So, let me sum up this check that out. So, let me sum up this check that out. So, let me sum up this entire video in one breath. You don't entire video in one breath. You don't entire video in one breath. You don't have to quit your job. You don't have to have to quit your job. You don't have to have to quit your job. You don't have to build some massive personal brand. You build some massive personal brand. You build some massive personal brand. You don't even have to be super technical. don't even have to be super technical. don't even have to be super technical. The real move is to pick an actual The real move is to pick an actual The real move is to pick an actual constraint in your role or your company, constraint in your role or your company, constraint in your role or your company, tie to a KPI, build a solution, and then tie to a KPI, build a solution, and then tie to a KPI, build a solution, and then build a few more so you have a real build a few more so you have a real build a few more so you have a real track record. Then put that track record track record. Then put that track record track record. Then put that track record somewhere that people can actually see somewhere that people can actually see somewhere that people can actually see it, even if that's just a personal it, even if that's just a personal it, even if that's just a personal website where you build your own website where you build your own website where you build your own portfolio. Just something that you can portfolio. Just something that you can portfolio. Just something that you can send to people. So, if you want help send to people. So, if you want help send to people. So, if you want help running this whole playbook, the link in running this whole playbook, the link in running this whole playbook, the link in the description goes to my free school the description goes to my free school the description goes to my free school community. Everything we talked about in community. Everything we talked about in community. Everything we talked about in this video I've broken down into a free this video I've broken down into a free this video I've broken down into a free resource guide that you can access in resource guide that you can access in resource guide that you can access in there, as well as other courses, GitHub there, as well as other courses, GitHub there, as well as other courses, GitHub repos, skills, frameworks, and hundreds repos, skills, frameworks, and hundreds repos, skills, frameworks, and hundreds of thousands of people who are looking of thousands of people who are looking of thousands of people who are looking to stay ahead with AI. It's completely to stay ahead with AI. It's completely to stay ahead with AI. It's completely free. It is the first link in the free. It is the first link in the free. It is the first link in the description. But anyways, that's going description. But anyways, that's going description. But anyways, that's going to do it for today. If you guys enjoyed to do it for today. If you guys enjoyed to do it for today. If you guys enjoyed the video or you learned something new, the video or you learned something new, the video or you learned something new, please give it a like. It helps me out a please give it a like. It helps me out a please give it a like. It helps me out a ton. And as always, I appreciate you ton. And as always, I appreciate you ton. And as always, I appreciate you guys making it to the end of the video, guys making it to the end of the video, guys making it to the end of the video, and I'll see you on the next one. Peace and I'll see you on the next one. Peace and I'll see you on the next one. Peace out.