WEBVTT

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Most AI startups, well, the reality is they often

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don't make it. They can burn through millions

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of dollars, often for ideas, maybe prototypes

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that aren't even finished. But what if there

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was a different path, a kind of hidden blueprint

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maybe, for building something actually profitable?

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A business starting at maybe $12 ,000, $13 ,000

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a month, but then scaling all the way to $5 million.

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And the key is... profitable from day one. Exactly.

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It's not just a concept. It's a genuine real

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-world blueprint. And it completely flips that

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traditional startup playbook, just turns it upside

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down. It's really about building a business that

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makes sense from the get -go. Welcome, everyone,

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to The Deep Dive. Today, we're digging into this

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model called the leveraged agency. It's a fascinating

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approach. Seems really practical, not just another

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buzzword. It's a guide for building an AI business

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that's actually... highly profitable. And the

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core idea, it seems to be about focusing on real

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customer problems first, not just chasing the

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shiniest new tech because it's cool. That's absolutely

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it. And we're going to walk you through the whole

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journey today. We'll unpack the three main phases,

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right? Starting with that manual foundation,

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then the AI transformation bit, and finally,

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how you scale it up with different tiers. Plus,

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we'll get into some really crucial stuff like

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why building in public is so powerful and how

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to avoid the common traps, you know, the ones

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that trip people up. It really does sound like

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a fundamental shift. OK, let's unpack this. So

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when we think about AI startups, usually the

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picture is, well, I call it the Silicon Valley

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mirage. You know, you imagine these secret labs,

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right? Founders trying to raise massive VC rounds,

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burning cash for years, maybe chasing some unicorn

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idea. It feels like this huge gamble. And honestly,

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like. 90 % just fail. And even the ones that

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succeed, the founders often end up with just

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a tiny slice of the pie after all that dilution.

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It's tough. Oh, completely. That old way. For

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a lot of founders, it's just broken. This leveraged

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agency model is, well, it's a smarter path, more

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sustainable. It's not about building some cool

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new hammer and then desperately looking for a

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nail. No, it's about finding someone with a real

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headache, a persistent, annoying problem. And

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then you carefully, methodically create the perfect

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aspirin for that specific pain. that framing

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really helps clarify it so the core philosophy

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is genuinely customers first ai second you don't

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just jump into coding some complex ai hoping

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someone wants it instead you start with the customer

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find their most painful maybe boring everyday

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problem then you actually roll up your sleeves

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solve it manually first that way you learn everything

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right all the little details the edge cases then

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only then do you bring in ai build a system to

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deliver that same solution just Better, faster,

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more profitably. So the AI isn't the product

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itself. It's more like the delivery system, a

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really efficient one. And this whole approach

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gives you like five huge, almost unfair advantages.

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First. Profitable from month one. Seriously.

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You get paid to learn, making real money, solving

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real problems. Second, you get real customer

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validation. You're working with paying clients

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so you know for sure you're building something

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people actually need. Third, you keep your equity.

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Own 100 % of your business. You build wealth

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for you, not just VCs. Fourth, way less risk.

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Your business is built on demand you've already

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proven with your manual service. Cuts down the

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failure chance big time. And fifth, scalable

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power. The AI becomes this amazing force multiplier.

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One person can do the work of a whole team. You

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can handle way more clients with the same effort.

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So it really changes the risk -reward calculation

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for starting something new. Yeah, it means solving

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actual problems pays off and fast, grounded in

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reality. That makes perfect sense. So the core

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takeaway here is getting paid to validate your

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idea and build something the market actually

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wants. Exactly. Paid validation, reduced risk,

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keeps you in control. Okay, so moving into phase

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one. The manual foundation. This feels, yeah,

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really counterintuitive, especially if you come

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from tech. The idea that for the first six months

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you have to do the boring manual stuff yourself.

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It's like building a skyscraper, right? You don't

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start with the fancy windows. You start with

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digging the foundation. It's dirty work, maybe

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invisible, but absolutely essential. You have

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to deeply understand the ground you're building

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on the market, the client's real pain, the process

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with all its messy bits. That foundation is everything

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and your first job. Find the perfect boring task.

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You're hunting for that soul -crushing work,

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the repetitive stuff businesses hate doing and

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will happily pay to offload. And it needs to

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meet four criteria, okay? One, high pain point.

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Nobody on the client's team wants to touch it.

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Two, universal demand. Lots of businesses need

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this done. Three, repetitive and rule -based,

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so it's predictable, something you can automate

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later. And four, clear deliverables, success

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is obvious, easy to measure. And there are just

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so many examples hiding right there, aren't there?

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Things like managing complex insurance forms

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or tedious invoice processing. Data entry. We're

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managing online reviews, pulling data from PDFs

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into Salesforce .complex customs paperwork. Even

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just converting messy PDF bank statements into

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clean Excel files. That's a good one. Extracting

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key data from contracts, too. It's amazing how

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much value is locked up in these everyday tasks.

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Totally. And the execution plan for this phase,

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it's pretty structured. Zero to a profitable

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service. Step one is the setup. Takes maybe a

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week or two. You pick one boring task, create

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a simple service package, maybe $500 to $2 ,000

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a month. And here's the key. Sell the outcome,

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not your time. They're buying clean data, not

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your hours. Then months one to three, that's

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the acquisition goal. Get your first five to

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10 clients, real world validation. And as you

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work, document everything, every single step,

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every weird edge case, everything. Finally, my

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three to six is the documentation. This is where

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the real IP gets built. You become like a process

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detective. You create a perfect battle -tested

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standard operating procedure, an SOP, your blueprint,

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honestly. That SOP is probably the most valuable

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thing you build in this whole phase. And the

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goals for phase one seem pretty clear. You're

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aiming for, what, $1 ,000 to $5 ,000 in monthly

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recurring revenue, MRR, plus five or more happy

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clients, that perfect SOP, and profit margins

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over 40%. Healthy numbers. Yeah, and a great

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real -world example, there's this... Service.

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Bank statement converter. Does one simple, boring

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thing. Turns messy PDF bank statements into clean

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Excel files. Solves a huge pain for accountants,

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small businesses, super clear value. And that

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simple service, reportedly doing over $40 ,000

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a month in revenue. Wild, right? You know, I

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still wrestle with prompt drift myself when trying

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to automate some of these nuanced processes.

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But having that meticulous SOP really does help

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anchor things. So, OK, you've got the solid manual

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foundation. You've got the SOP. The next logical

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step is bringing in the AI. Exactly. That's how

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you scale it. Automate that manual work. This

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sounds incredibly disciplined starting manually.

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What's the single biggest mistake people make

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here before even touching AI? Probably automating

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too early or picking a task that isn't really

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that painful or repetitive for the client. Skipping

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the homework. Right, so really resisting that

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tech urge and doing the manual work first to

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truly learn is critical. Don't automate too soon.

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Okay, phase two, the transformation. Months,

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say 7 to 12. This feels like where the real leverage

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kicks in. You've got a profitable service run

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by humans and that perfect SOP blueprint. Now

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it's the industrial revolution for your business.

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You start replacing the manual work with AI robots.

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That's the perfect analogy. The AI integration

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is all about building those robots. First, you

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choose your tools. You assemble your AI team,

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right? Maybe you specialize tools like conversational

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AI agents for customer interactions or platforms

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for complex data processing, data extraction.

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You might use Claude or Cursor for some custom

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code if needed. And then you need a central nervous

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system, something like Zapier or NAN to connect

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everything, make the workflows run. Then step

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two. Teach the robots. You literally mirror your

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SOPs using AI. You take your documented manual

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steps and turn them into automated AI workflows.

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Start with the most repetitive bits. But crucially,

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and it's important, you maintain human oversight.

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Quality control is key during the switch. You're

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basically the manager of this new robot factory,

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making sure everything's perfect, constant improvement.

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And this is where the economics get really interesting.

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The new economics. The power of automation. Let's

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look at those numbers. Yeah, and here's the golden

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rule. Keep your pricing the same. Don't lower

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it just because AI is doing the work. Think about

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it. Manual phase, maybe you have five clients

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at $1 ,000 a month. That's $5 ,000 revenue. Maybe

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40 % margin, so $2 ,000 profit. Okay, now the

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AI phase. Your automated system can handle, say,

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50 clients easily with the same effort, maybe

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less. That's $50 ,000 in revenue. But now, because

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AI does the heavy lifting, your margin jumps,

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maybe 80 % or more. Suddenly, that's potentially

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$40 ,000 in monthly profit. Massive difference.

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And the key insight there is you're selling the

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outcome, not the labor. Customers don't actually

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care how you do it. They pay for consistent,

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reliable results. As long as the quality stays

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high or even improves, they're... happy. They're

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not buying your time. Whoa. Okay. Imagine scaling

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from five to 50 clients with basically the same

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personal effort. That's like one person suddenly

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becoming an entire department overnight. It's

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just a totally different scale. Yeah. What's

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really fascinating is your value to the customer

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stays high, maybe even increases, but your cost

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to deliver just plummets. That transformation

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is huge. But what's the trickiest part of keeping

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that human oversight effective as AI takes over

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more tasks? Probably the continuous fine -tuning,

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making absolutely sure the AI handles all the

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weird edge cases just as reliably as your expert

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human self did. Constant vigilance. So it's about

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constant calibration, ensuring AI reliability

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matches human expertise, especially on the tricky

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parts. All right, phase three. You've perfected

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your automated system for one task. Now it's

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time to expand, right? Scale beyond that first

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service. This is where you build it into a bigger

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empire, maybe. Exactly. We call it the three

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-tiered empire. It's about creating smart, diverse

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revenue streams. So tier one, that's your Michelin

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star service. High touch enterprise clients.

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Think $5 ,000 to $25 ,000 a month. White glove

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treatment, custom integrations, dedicated human

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support. For the big guys, Fortune 500s. Then

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tier two, the fast casual option. Self -serve

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platform, much lower price, maybe $100 to $500

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a month. Standard dashboard, automated onboarding,

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email support only, built for volume, super scalable.

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And tier three. Wholesale ingredients. Basically,

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API access. Usage -based pricing, like $0 .10

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to $1 per transaction. You let other developers

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build your AI's capability right into their own

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stuff. Pure tech play. And there's this underlying

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compounding AI effect, too, which is pretty amazing.

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Your core AI system gets smarter every month,

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almost for free, right? Because the base models

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underneath it, like GPT -5, Cloud 4 .1, they're

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constantly improving. So your service gets better,

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more capable, but your costs don't necessarily

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go up. That's a huge advantage. Yeah. And this

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whole tiered approach leads to... pretty clear

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growth path a conservative forecast might look

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like. End of year one, 25K MRR. End of year 1

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.5, maybe 50K MRR. End of year two, hitting $100K

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MRR. And by the end of year three, you could

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be looking at $400K plus MRR. That's over a $5

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million annual run rate. Solid growth. Which

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brings us back to something you mentioned earlier,

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building in public. This becomes absolutely critical

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for growth at this stage. Like content creation

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isn't just marketing anymore. It's the main way

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you get customers. Your business is the content.

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Think of it like a reality show about your business.

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Your content is the weekly episode. You solve

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one problem publicly, show exactly how you do

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it step by step, transparently. That naturally

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pulls people in. You need a mix, right? A content

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matrix, daily jabs, short, valuable stuff, quick

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tips, process breakdowns, behind -the -scenes

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bits, and weekly right hooks, deeper dives, case

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studies, client wins, maybe even transparent

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revenue numbers. And that creates this powerful

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flywheel effect. Your recurring revenue pays

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for more content. which attracts more clients,

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which generates more revenue. It feeds itself.

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Yeah, if you connect the dots, the content isn't

00:11:53.059 --> 00:11:55.159
just marketing on the side. It is the growth

00:11:55.159 --> 00:11:58.620
engine. Building in public feels, well, pretty

00:11:58.620 --> 00:12:01.440
exposed. What's the biggest benefit and maybe

00:12:01.440 --> 00:12:03.259
the hardest part of doing that consistently?

00:12:03.659 --> 00:12:07.000
Huge upside is trust. And you get amazing direct

00:12:07.000 --> 00:12:09.360
feedback. The hard part, just the relentless

00:12:09.360 --> 00:12:12.330
consistency it demands. day in day out got it

00:12:12.330 --> 00:12:14.529
so it builds incredible trust and feedback loops

00:12:14.529 --> 00:12:19.210
but requires serious daily commitment okay let's

00:12:19.210 --> 00:12:21.330
talk end game the real long -term power here

00:12:21.330 --> 00:12:24.269
seems to be becoming a multi -preneur not just

00:12:24.269 --> 00:12:26.509
running one business but a whole portfolio absolutely

00:12:26.509 --> 00:12:29.110
your first successful business that creates your

00:12:29.110 --> 00:12:31.629
franchise blueprint You haven't just built a

00:12:31.629 --> 00:12:33.950
business. You've built a repeatable system. You

00:12:33.950 --> 00:12:35.789
now have a proven way to find opportunities,

00:12:35.990 --> 00:12:38.309
the tech setup for deploying AI agents fast,

00:12:38.490 --> 00:12:41.309
content systems that work, operational knowledge.

00:12:41.370 --> 00:12:43.509
You've got the playbook. And with that playbook,

00:12:43.629 --> 00:12:46.370
you can basically launch new franchises in totally

00:12:46.370 --> 00:12:48.509
different areas, creating multiple income streams,

00:12:48.649 --> 00:12:51.250
the plan looks like. Year one, master one task,

00:12:51.470 --> 00:12:55.049
scale it to $50 plus MRR. Year two. Launch number

00:12:55.049 --> 00:12:57.350
two in a different vertical. Aim for combined

00:12:57.350 --> 00:13:01.169
$100K plus MRR. Year three and beyond, add a

00:13:01.169 --> 00:13:03.470
third, maybe even acquire small manual agencies

00:13:03.470 --> 00:13:06.450
and plug them into your AI system. Goal, maybe

00:13:06.450 --> 00:13:09.330
$500K plus in combined annual profit across the

00:13:09.330 --> 00:13:11.919
portfolio. That's serious. And this model allows

00:13:11.919 --> 00:13:14.480
for the dividend strategy, which is totally different

00:13:14.480 --> 00:13:16.700
from VC -backed startups always reinvesting.

00:13:16.700 --> 00:13:18.840
Here, you're profitable from month one, so you

00:13:18.840 --> 00:13:21.100
have options. Pay yourself real dividends, improve

00:13:21.100 --> 00:13:23.279
your lifestyle, fund new ventures from profits,

00:13:23.419 --> 00:13:26.320
keeping 100 % equity, maintain flexibility, avoid

00:13:26.320 --> 00:13:29.019
that crazy growth at all cost pressure, and it

00:13:29.019 --> 00:13:30.899
diversifies your risk across different businesses.

00:13:31.200 --> 00:13:32.960
Makes sense. And practically, the tech stack

00:13:32.960 --> 00:13:34.980
involves things like workflow automation tools,

00:13:35.159 --> 00:13:38.840
Gumloop, Zapier, Make, plus AI like Claw, GBT4,

00:13:39.059 --> 00:13:41.159
business... infrastructure like Airtable, Stripe,

00:13:41.159 --> 00:13:44.220
Intercom, Notion, and maybe no -code, low -code

00:13:44.220 --> 00:13:46.460
tools like Bubble, Webflow, Retool for building

00:13:46.460 --> 00:13:49.919
things out. Exactly. And for finding those initial

00:13:49.919 --> 00:13:53.929
boring Tasks. Market research is key. Digging

00:13:53.929 --> 00:13:56.409
into Reddit, Facebook groups, LinkedIn. Looking

00:13:56.409 --> 00:13:58.330
for where people are complaining loudly about

00:13:58.330 --> 00:14:01.529
tedious work. Remember the criteria. High pain,

00:14:01.750 --> 00:14:04.970
big market, repetitive, clear outcome. Find that

00:14:04.970 --> 00:14:08.009
universal groan. And like any good system, there

00:14:08.009 --> 00:14:10.070
are ways to mess it up. The operator's manual,

00:14:10.309 --> 00:14:13.230
the five cardinal sins to avoid. Yep. Got to

00:14:13.230 --> 00:14:15.529
watch out for these. One, choosing tasks that

00:14:15.529 --> 00:14:17.490
are too complex right at the start. Keep it simple.

00:14:17.549 --> 00:14:20.350
Two, automating too early. Cannot stress this

00:14:20.350 --> 00:14:23.070
enough. Do it manually first. Learn inside out.

00:14:23.230 --> 00:14:25.590
Three, raising prices just because you automated.

00:14:25.750 --> 00:14:27.970
No. Keep prices stable. Take the profit margin

00:14:27.970 --> 00:14:31.250
win. Four, neglecting content. It's not optional.

00:14:31.470 --> 00:14:33.049
Got to commit daily. It's your growth engine.

00:14:33.169 --> 00:14:35.490
And five, trying to be everything to everyone.

00:14:35.649 --> 00:14:38.850
Master one task, one industry first. Focus. Don't

00:14:38.850 --> 00:14:40.850
spread thin. What really stands out about this

00:14:40.850 --> 00:14:43.389
whole model is just how clear the roadmap is.

00:14:43.490 --> 00:14:45.809
It feels tangible, executable. Of those five

00:14:45.809 --> 00:14:48.250
sins, if someone could only avoid one, which

00:14:48.250 --> 00:14:50.879
is the absolute killer for this model. automating

00:14:50.879 --> 00:14:54.220
too early definitely it completely undermines

00:14:54.220 --> 00:14:56.059
your understanding and your validation right

00:14:56.059 --> 00:14:59.360
from the start fatal mistake so that foundational

00:14:59.360 --> 00:15:01.759
manual work is truly non -negotiable rushing

00:15:01.759 --> 00:15:04.600
automation just breaks the whole thing okay let's

00:15:04.600 --> 00:15:07.600
recap the big idea here this leveraged agency

00:15:07.600 --> 00:15:10.500
model it really is a blueprint for immediate

00:15:10.500 --> 00:15:13.720
profit and scalable ai growth it flips the usual

00:15:13.720 --> 00:15:16.600
startup script completely start with real customer

00:15:16.600 --> 00:15:19.679
pain Solve it manually to learn deeply, then

00:15:19.679 --> 00:15:22.100
automate for huge margins and keep all your equity.

00:15:22.320 --> 00:15:24.519
It's all about delivering reliable outcomes.

00:15:25.080 --> 00:15:27.299
Yeah, it honestly beats the traditional model

00:15:27.299 --> 00:15:29.899
on speed, capital needed, and especially risk.

00:15:30.200 --> 00:15:32.539
Your real competitive edge isn't just the tech,

00:15:32.620 --> 00:15:34.960
it's the data you gather, the process expertise

00:15:34.960 --> 00:15:36.899
you build, and the authority that comes from

00:15:36.899 --> 00:15:39.200
sharing it all through content. You know, Sam

00:15:39.200 --> 00:15:42.100
Altman talks about the era of the idea guy, this

00:15:42.100 --> 00:15:44.240
model. It shows you how to actually execute those

00:15:44.240 --> 00:15:47.039
ideas profitably, practically. And the window

00:15:47.039 --> 00:15:49.539
of opportunity for these AI services, it feels

00:15:49.539 --> 00:15:51.259
wide open right now. The tools are there, they're

00:15:51.259 --> 00:15:53.879
powerful, but most businesses, big or small,

00:15:54.039 --> 00:15:55.539
they just... haven't figured out how to use them

00:15:55.539 --> 00:15:58.320
effectively yet and that gap yeah that gap right

00:15:58.320 --> 00:16:01.519
there that's your opportunity so maybe a final

00:16:01.519 --> 00:16:03.659
thought for everyone listening what's that soul

00:16:03.659 --> 00:16:06.799
-crushing tedious task you know businesses hate

00:16:06.799 --> 00:16:08.940
doing what could you tackle first thank you so

00:16:08.940 --> 00:16:11.179
much for joining us on this deep dive yeah i

00:16:11.179 --> 00:16:12.620
hope you found some valuable nuggets in there

00:16:12.620 --> 00:16:15.059
until next time out tiro music