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AI is not moving too fast. You're just standing still.

Every week, there's a new AI tool, a new workflow breakdown, a new thread about how everything's about to change. And every week, the same founders and experts I talk to do the same thing: they bookmark it, feel a little more behind, and go back to what they were already doing.

The speed isn't the problem. The standing still is.

Here's the thing nobody's saying clearly enough: AI is not doing anything new. It's doing the things you already know how to do - writing, designing, building, organizing, analyzing - faster. And more importantly, it is doing them. Not you at 11 pm. Not a contractor you're waiting three weeks on. The machine.

That's not scary. That's the whole point.

But the conversation around AI has made it feel like you need a certification, a tech team, or six months of runway before you can touch it. You don't. And every week you spend consuming content about AI instead of using it is a week your competitors - or just faster founders - are pulling ahead.

I know because I just lived it.

Here's what we'll cover in this issue:

The Speed Is the Feature, Not the Problem

Decision fatigue around AI is real. New tools every week. Conflicting advice. The feeling that whatever you learn today will be obsolete tomorrow.

But here's what's actually happening: AI is getting faster and more accurate at the same things. It's not inventing new categories of work. It's writing copy, building pages, generating visuals, analyzing data, managing workflows - all stuff that existed before. The difference is that a task that took a team two months now takes one person two weeks. Or one week. Or a day.

That's not chaos. That's compression. And compression favors the person who knows what they want built - not the person who knows how to build it.

If you're an expert in your field, you already know what needs to exist. You know what your clients need, what your business is missing, what would make your operation run cleaner. You've been carrying that knowledge around, waiting for the budget or the bandwidth to execute it.

The bandwidth just showed up. The question is whether you'll use it.

What One Week Actually Looked Like

I just rebuilt the School of Doza website. The best version I've ever made — clean, functional, everything where it should be.

It took a week. That includes feedback rounds, rethinking the structure, and multiple iterations.

A year ago? That's a two-to-three-month project. And honestly, it would've launched with more compromises and needed more fixes after the fact.

I'm not a developer. I didn't suddenly learn to code. What I did was think clearly about what I wanted, direct the AI, and course-correct when the output wasn't right. There were plenty of moments where I helped the AI think through the problem better -because it's not perfect. And… I wasn't perfect at articulating what I wanted either.

But that's the part nobody talks about: you don't have to be perfect. Neither does the AI. You think together. You iterate. And you get to a result that's better than what either of you would've produced alone, in a fraction of the time.

Try this prompt: "I want to build [describe what you need]. I'm not technical - walk me through the simplest version of this that I could have working within a week. What decisions do I need to make first, and what can you handle for me?"

That prompt alone can move you from "researching" to "building" in one conversation.

Which Path Fits You Right Now?

Here's the decision filter. Be honest with yourself about where you are - all three of these work, but only one is right for you today.

  • You have the time and the curiosity. You can learn this yourself. Not "master AI" — just pick one project, one tool, and build something real this month. The School of Doza site started exactly this way. You'll be slower than someone experienced, but you'll understand what's possible at a level no course can teach you.

  • You don't have the time, but you have a budget. Hire help - but it shouldn't cost what it used to. AI has compressed the cost of execution dramatically. A website, a funnel, a content system - if someone's quoting you agency prices for work that AI can accelerate, you're overpaying. The right person with the right tools can do in weeks what used to take months.

  • You have neither the time nor the interest in the tools - but you know what you want. Learn enough to evaluate, then delegate. This is the evaluator path from last issue. You don't need to operate the tools. You need to know what good output looks like so you can direct someone who does. That's a skill you can build in hours, not months.

All three paths lead to the same place: you, with more leverage than you had last month, using AI that exists right now. Not next year's AI. Not the theoretical version.

The one you can open in a browser tab today.

Book a discovery call here - if you're ready to figure out where the leverage is in your business, let's talk.

The thing I keep coming back to is this: the barrier was never technical. It was the story we told ourselves about how hard it had to be.

It doesn't have to be hard. It has to be started.

Which path fits you right now? Hit reply and tell me — I read every one.

And if you're a health practitioner who wants to build this kind of leverage with people who get your world:

The Health of Business — a new school inside the School of Doza is coming soon. It's built for practitioners who want to use AI to grow their practice now, not eventually.

Baldomero Garza Find me on X, LinkedIn, Instagram, or book a 1:1

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