WEBVTT

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I think we've all felt this. You see the headlines,

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right? You see these incredible success stories

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on social media about people building huge businesses

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with AI. And it's like two things hit you at

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the exact same time. First, there's this real

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excitement. But then right behind it is this

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deep uncertainty. The doubt. The doubt. It whispers

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things like, am I just too late to start? Or,

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I don't know how to code, so this can't be for

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me. Yeah. It's a very real feeling. It is. But

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here's the good news, and this is maybe the most

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important thing we can say today. You are absolutely

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not too late. Not even close. And you don't need

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to be a computer genius? Not at all. What you

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need right now isn't some deep technical mastery.

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You just need a map, a clear, proven roadmap.

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And that's our whole mission for this deep dive.

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And we're going to unpack a specific four -stage

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progression for building an AI business in, well,

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in today's world. It's all about validating your

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experience and then stacking skills. Think of

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it like a ladder. A ladder. I like that. You

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have to start at the bottom. You have to. That

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intentional climb is what makes it last. So we'll

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walk that ladder today. Stage one, the freelancer,

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then a consultant, the agency, and finally, the

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teacher. So let's start with stage one, the freelancer.

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We sometimes call this the Lego stage. The Lego

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stage. Yeah, because the whole magic here is

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that you can make real money without building

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any software from scratch. That is a profound

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idea, isn't it? You don't have to invent the

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plastic bricks. Nope, they're already made. You're

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just using what the AI world calls templates

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or, you know, pre -built automation. Yet a template

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is really just a recipe, right? A set of instructions

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for the AI. Exactly. It tells the AI what to

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do, what the rules are, how data flows from one

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place to another. Your only job is to connect

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the pieces. You don't invent them. So the sources

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gave us this simple five -step method to get

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started. It's called the build method. Right.

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So B is for block by block. You can't master

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everything at once. Just pick one single automation

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and get really good at it. Like what? Like, say,

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a Google review reply bot. Just focus all your

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energy there until you can do it in your sleep.

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OK, that makes sense. Then U is understand the

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use case. Yes. It's not just about the tool.

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It's about finding who desperately needs this

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one block you've mastered. A dentist needs to

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reply to reviews. A restaurant needs to handle

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feedback. Hygrospecific. You have to be. That's

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how you get quick sales. Next is I for install

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and imitate. So you use tools, maybe like NNN

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or Make. You download a template and then you

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just run it with fake data. Over and over again.

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You work out the kinks before a client ever sees

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it. You have to. And then L is land the first

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client. This has to be a super low friction pitch.

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Not a big ask. No, just something simple. Like,

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hey, I built a system that automatically handles

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customer replies. Want to see a 90 second video

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of it working? It's an easy yes. And finally,

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D. is document and duplicate. The minute you

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have a win, you have to quantify it. This bot

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saved the dentist five hours a week. You use

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that story, that tangible result, to land the

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next client. Okay, let's make this real. A great

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example is the missed call, SNS agent. Think

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about plumbers or electricians. Right, they're

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always missing calls. They're on a ladder, they're

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under a sink. And every single missed call is

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lost money. So this simple automation... catches

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that missed call, and it instantly sends a text,

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so sorry I missed you, I'm on another job, how

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can I help? And then the AI starts a chat to

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book an appointment. And the real value, the

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thing you're actually getting paid for, is in

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the prompt details. It's the rules you set for

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the AI. 100%. The prompt needs a specific role,

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like a friendly assistant for Mike's plumbing.

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It needs a clear goal. Find the problem, get

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the address. And you mentioned crucial rules.

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Yeah, like keeping answers short, under 20 words,

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people expect text to be brief. And here's the

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really stiff part. You must mention the $50 visit

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fee rule up front. But you don't promise a specific

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time. Never. Because that one rule manages the

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customer's expectations before a human even gets

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involved. That's strategic problem solving. So

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since the whole goal here is mastery, how specific

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should someone get when picking that first block?

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Pick a template that's simple enough to master

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quickly. and sell it to a really targeted niche.

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Exactly. Simple and targeted. Okay, so once you've

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built a few of these, you hit the wall of stage

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one. Selling a $500 tool is fine, but you're

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constantly hunting for new clients. It's frankly

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exhausting. It leads to high churn and yeah,

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burnout. That's the signal then to move to stage

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two, the consultant. And this is a huge mindset

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shift. You're moving from a builder to a... A

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doctor. A doctor. So you're not just handing

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out medicine. No. A doctor diagnoses first. They

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ask, where does it hurt? A consultant does the

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exact same thing. You ask deep questions before

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you ever design a solution. This process uses

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the scan framework. What does S involve? S is

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for study of the business. You're not asking

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about tools. You're asking strategic questions.

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What's the one task your best employees hate

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doing? Or where are your staff costs highest?

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Then we get to see Calculate the opportunity.

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This feels like the most important step. It is.

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This is where you use math. It's non -negotiable.

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If you can show a client they're spending $30

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,000 a year on a task, and you can automate it

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for $5 ,000, well... The decision is made for

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them. It's a no -brainer. Exactly. The math makes

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the sale. Okay, then A is architect the solution.

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Now you're not just laying bricks. You're the

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architect drawing the blueprint for the whole

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building. You're showing the data flow, the whole

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workflow from start to finish. And N is... narrate

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the results. This is where you professionalize

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your success. You write these high quality case

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studies about the ROI you delivered, and that

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story is what attracts the bigger fish. I have

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to admit, and this is maybe a bit of a vulnerable

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thing to say, but even after years in this space,

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I still wrestle with that, that mental shift.

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To stop thinking about the technical wires and

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start thinking about the strategic workflow.

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It's hard. It absolutely is. I remember wasting

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literally days on a complex database thing for

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a client. I should have just spent two hours

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defining the business process first. The money

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is always in the process, not the tool. That

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explains the jump in price. The real estate lead

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qualifier example really shows this. The agency

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had a huge problem. 100 leads a week. But 80

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of them were just browsing. Just wasting the

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sales team's time. And if you look at the math,

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10 hours a week wasted at $50 an hour. That's

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over $25 ,000 a year down the drain. There's

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a charting $5 ,000 to fix that as an easy sell.

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A very easy sell. And the solution was an AI

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agent prompted as Sarah, the home buying assistant.

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She asks three simple qualifying questions before

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it ever gets to a human. And the sequence is

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key. Are you looking to move soon or just browsing?

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Right. then what area are you focused on? And

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what's your rough budget? The guardrails are

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also crucial. Never be pushy, and if they say

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they're browsing, the chat just politely ends.

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And that strategic approach leads to a totally

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different pricing structure. You have two revenue

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streams here. First is the audit, which is just

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the plan and the math. That could be, what, $1

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,000 to $5 ,000? Yep. And then there's the build,

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the actual custom automation. That can easily

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be $10 ,000 to $50 ,000. Wow. That is a huge

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leap. So considering the risk of a custom build,

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what makes that initial audit worth five grand

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to a client? The audit gives them a valuable

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plan and hard ROI math. So it completely de -risks

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the bigger investment. Exactly. It justifies

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the $50 ,000 project later on. Mid -roll sponsor,

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read placeholder. And that brings us to stage

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three, the agency or the AI partner. As a Swallow

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consultant, you just... You hit a hard ceiling.

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You do. You can only juggle, what, three or four

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big clients at a time before you're completely

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maxed out. Burnout is inevitable. So the move

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to an agency is about scaling. Your role has

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to change. Completely. You have to stop doing

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the technical work. No more connecting wires.

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Your job becomes 100 % strategy and sales. The

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framework for this is G -O -W. So G is for Get

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developers. You have to. You hire technical talent

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from Upwork or developer communities, and they

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build the solutions that you design. Then R,

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retain authority. This feels critical. It is.

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You have to remain the client -facing expert.

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They're paying for your brain, not the developer's

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fingers. The developer works for you. You own

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the relationship. OK. O is for onboard sales.

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Right. All that time you just freed up from doing

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technical work. You use it to find more clients

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and eventually you hire people to set appointments

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for you. And finally, W is win with brand. Now

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you have to become known. Post your case studies

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on LinkedIn. Share what you're learning on Twitter.

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You become the go -to person in your niche. But

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we have to add the reality check here. Agency

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life looks glamorous. but it comes with a lot

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of stress and overhead. That's the necessary

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counterpoint, yeah. You might be bringing in

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$80 ,000 a month in revenue, which sounds amazing.

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Sounds incredible. But you're paying two developers

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maybe five grand a month each, plus software,

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plus taxes. Your actual profit might only be

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$30 ,000 or $40 ,000. And the stress of managing

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people is very, very real. So given that stress

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and the high overhead, does the agency model

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still have a big advantage? over just being a

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highly paid, you know, stress -free consultant.

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Yes. Because it's the only way to build a predictable

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brand. And to scale beyond what you can do in

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an hour. Exactly. It's a first step toward building

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real, sellable wealth in this model. And that

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leads us to the final, and I think the most profitable

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step, stage four. The teacher. This is where

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people who've climbed the whole ladder find the

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most freedom. And the highest profit margins.

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It's all because of this massive knowledge gap

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in the world. You mean the gap between the tiny

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number of people who know how to use AI and the

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millions who have no idea. That gap is enormous.

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And it's incredibly profitable to fill. The profit

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model is just superior. Your overhead basically

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disappears. No developer salaries. Minimal software

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costs. So if you sell a course for $100 and 100

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people buy it, that's $10 ,000 with almost pure

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profit. Almost 100 % margin. And you can sell

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that same digital product to one person or a

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million people with the same amount of effort.

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That's true leverage. Whoa. I mean, imagine scaling

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that practical knowledge to 100 ,000 people.

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The market for actionable AI training, especially

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for small business owners, just feels endless

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right now. It really does. That scalability is

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why this is the ultimate stage. And the model

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for this is the share framework. S is for show.

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Right. You create free content, YouTube videos,

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articles, whatever, and you just show the cool

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real world stuff you actually built for clients.

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Show your screen, show the results. Then H is

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for hook. At the end of that free content, you

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offer a free gift. Maybe the exact prompt you

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used or a link to the template. That brings them

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into your world. A is for attract. You build

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a free community, maybe on school or Facebook.

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And you put your best free stuff in there. This

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builds so much trust because people think, wow,

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if the free stuff is this good, the paid course

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must be incredible. R is for recommend. Only

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after you've built that trust do you offer the

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paid product. Exactly. And E is for expand. You

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just keep creating content. That's the fuel that

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makes the whole cycle work. We have to bust the

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myth here, though. People think they need to

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be a world -class expert to teach. Not at all.

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You just need to be one chapter ahead of your

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students. The person who just got through the

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struggle is often the best teacher because they

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remember what it felt like. So if you've successfully

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built, say, five automations for real clients,

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you know more than 99 % of people. Absolutely.

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That is more than enough expertise to start teaching

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something valuable. But then why is it so important

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not to skip the first three stages just to get

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to this super profitable teaching part? Because

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your teaching has to be credible. You need the

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war stories. You need the war stories. Those

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practical examples from real clients are what

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make your advice valuable, not just theoretical.

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So to recap, we've walked the four stages. You

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start as a freelancer mastering templates. Then

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you become a consultant selling diagnosis and

00:12:22.129 --> 00:12:24.490
strategy. From there, you scale to an agency.

00:12:24.700 --> 00:12:27.539
building a team. And finally, you become a teacher,

00:12:27.740 --> 00:12:29.860
sharing that hard -won knowledge for the highest

00:12:29.860 --> 00:12:32.139
profit and freedom. And the single most important

00:12:32.139 --> 00:12:35.759
piece of advice is to start at stage one. You

00:12:35.759 --> 00:12:38.000
have to do the work. You cannot skip the steps.

00:12:38.220 --> 00:12:40.340
Your credibility is built in the trenches doing

00:12:40.340 --> 00:12:43.220
real work for real clients. The entry barrier

00:12:43.220 --> 00:12:46.019
for this is dropping every single day. The tools

00:12:46.019 --> 00:12:47.700
are getting easier. They're getting cheaper.

00:12:48.299 --> 00:12:51.240
Your first step today should just be to pick

00:12:51.240 --> 00:12:55.279
one tool, learn it, build a demo, and find one

00:12:55.279 --> 00:12:58.279
client. That first paying client is all the proof

00:12:58.279 --> 00:13:00.539
you need. It seems like the real question isn't

00:13:00.539 --> 00:13:02.480
whether you're too late for the AI revolution.

00:13:03.299 --> 00:13:05.279
It's whether you have the discipline to start

00:13:05.279 --> 00:13:08.100
at stage one, when the promise of stage four

00:13:08.100 --> 00:13:10.700
is so tempting. That's the real test. So as a

00:13:10.700 --> 00:13:12.240
final thought for you to take away, consider

00:13:12.240 --> 00:13:14.940
this. If these AI tools continue to simplify

00:13:14.940 --> 00:13:17.159
the technical building blocks, these Lego pieces,

00:13:17.779 --> 00:13:20.299
how is the definition of a high value consultant

00:13:20.299 --> 00:13:22.620
going to evolve over just the next 12 months?

00:13:22.740 --> 00:13:23.779
Go build something great.
