That is the real problem. Not whether AI matters. You already know it does.
It is that every answer creates ten new questions. Which tool. Which model. What to trust with your data. What to build first.
And while you research, the same work keeps landing on your desk.
Most members put their first AI employee to work within the FIRST SEVEN DAYS. The program is built to ship three by Day 30, and to make the first one bulletproof. Not a course. Not a prompt pack. Workers.
A real conversation about your business, not a sales script. Cohorts are kept to fewer than 10 owners.
Sound familiar?
You are not lazy. You are not behind because you didn't try.
You are short on two things: a clear first move, and somebody who helps you finish it.
That is why AI feels so exhausting. It never reaches done.
You see competitors announcing AI features. You hear founders bragging about cutting entire workflows. You watch someone build in an afternoon what used to take weeks.
And you are still asking: Which tool? Which model? What do I trust with my data? What do I build FIRST?
So you do the responsible thing. You keep learning.
Here is the trap. The danger is not that you never learn AI.
The danger is that you spend the next year learning it, and still have nothing meaningful running inside your company.
More informed. Zero installed. That is the most expensive outcome of all.
Nobody can keep up with AI. Not you, not us, not the people posting about it all day.
You do not need to. You need one job in your business handled by one AI employee that produces one measurable result.
That is enough to change how you see AI forever.
And it comes faster than you think. Most members put their first AI employee to work within the first seven days.
Because once the first one is working, the fog lifts. You stop asking "What can AI do?" and start asking "What job should it own next?"
Swipe the diagram to see all of it →
That is the question. Not "which AI tool is best."
We audit your business across four areas:
What sits for hours or days until you approve it?
What does your team redo every single week by hand?
Where does slow follow-up or weak visibility cost you sales?
What work follows you into nights, weekends, and family time?
Then we rank the opportunities and choose the ONE AI employee most likely to create a fast, visible win.
You may think you need a chatbot. Your real leverage may be speed-to-lead, an inbox manager, customer reactivation, or a reporting employee that catches problems while the month can still be saved.
The first win is often choosing what NOT to build.
Swipe the diagram to see all of it →
Most members put their first AI employee to work within the first seven days. The program is built to ship three by Day 30, and to make the first one bulletproof.
Audit the business. Rank the leverage. Employee #1 gets built from a proven pattern and put on the job, usually within the first seven days.
Choose employees #2 and #3 from the pattern library and start their builds, while employee #1 takes on real work.
Employee #1 gets broken, corrected, and tightened on the actual job. Employees #2 and #3 come online behind it.
Monitoring, documentation, and hardening until you trust the output. Then map what comes next.
Every AI employee has to pass one test before we build it: it makes money, saves money, saves time, or helps you make better decisions.
If it does none of those, we do not build it. AI is labor here, not a hobby.
Everyone reading this page has seen it by now. The automation that got half-built and quietly abandoned. The agent that was flawless in the demo and died the first week on real work.
So let us say the quiet part out loud:
That is why the second half of this program exists. Building the employee is the fast part. Making it trustworthy is the real work:
The finish line is not "it ran once." The finish line is you stop checking its output.
It is also why every employee here gets one defined job, done excellently. Owners keep asking for one AI that does everything. We will not build it, because the do-everything agent is precisely the thing that breaks. One job you can test is one job you can trust. Then you stack the next one on top of it.
We have been building AI employees, agents, apps, and automations across our own businesses and other people's, over and over, for years.
Here is what all that building taught us: most businesses keep needing the same twenty-ish jobs.
Different company. Same underlying jobs.
So we rarely invent from zero. We start from a pattern that already works and shape it to your business. That is why the first one is usually live within the first seven days, and sometimes within hours, when a pre-built pattern fits your job closely.
And here is the honest part: the build is rarely the bottleneck. The bottleneck is you, the owner, learning to hand real work to it and trust what comes back. That is exactly what the rest of the 30 days coaches.
Antonio's own AI employee, working in his company right now. She triages his inbox and drafts replies in his voice. She preps his meetings before he asks. She tracks his commitments and flags revenue problems while there is still time to act.
She is not a chatbot he visits. She is a worker with a job description.
A member's business needed its blog kept accessible and ADA compliant. The leading commercial app for that job charges $2,000 a year, every year, forever. We are helping them build an AI employee that does the job, and they own it. No subscription.
That is the difference between renting AI and owning it.
Cuts daily email from 2+ hours to under 20 minutes. Sorts, drafts, and surfaces what actually matters.
Tracks revenue pace daily and catches problems before the month is over, instead of in next month's post-mortem.
Month-to-date by stream, projected close, and a flag the moment pace drops. Delivered daily, read in two minutes.
AI changes too fast, and business is too messy, for "watch Module 7 and good luck."
During your 30 days you are inside two rooms every week:
Fewer than 10 owners, all launching their first AI employee the same month. Business first: bottlenecks, decisions, hot seats, accountability. Small enough that nobody hides and every business gets individual attention.
A weekly 60 to 90 minute working session. Bring the broken workflow, the confusing setup, the thing that will not connect. We build with you on the call and get you unblocked before you log off.
Every week ends with three things:
That is the difference between "I know AI is important" and "AI is doing work in my company."
"My old tech team would quote me 250 hours at $190/hour for features I can now build myself in two days. The mastermind pushed me to think more seriously about coding with AI, and it changed the economics of what I can build."
"Antonio and his team helped us think through the opportunity, validate it with our audience, and start building an AI-powered tool that fits our business instead of forcing us into some generic AI template."
"The group helped me slow down, look at the actual data, and move from guessing to making better strategic decisions about the next version of my business."
Here is the deal, in plain English.
You show up. You pick your first AI employee with us. You give us the access and information the build needs. You do the agreed work.
If that employee is not up and doing its job by Day 30, we keep working with you in the Build Lab at no additional charge until it is.
We are not promising to automate your entire company in a month. We are promising the first win has a finish line, and we cross it together.
You should not pay for "clarity." You should leave with something working.
Think about the last time you added a person to handle work like this.
That is the math the winners have already done.
One month to go from "I have no idea where to start" to working AI employees inside your company. The first one is usually live within the first seven days.
After your first 30 days, you are automatically enrolled in the AI Execution Mastermind at $449 a month. Cancel anytime, no hoops. We set it up this way because the owners who win biggest are the ones who build employee #2 and #3, and we want zero friction between your first win and your next one.
A short call to look at your business and make sure this fits. If it does, we save your seat in next month's cohort.
The 30-day cohort exists to get your first employee live. The monthly mastermind is a different animal.
It is the advanced room. Owners who already have AI working, now compounding it.
Every week we scour the new models, tools, and releases so you can ignore the noise. The few things worth your attention get delivered to your door, with what they mean for your business.
The weekly Build Lab with Yuri continues. Bring the problem, we build and unblock, employee #2 and #3 and #4 get shipped instead of shelved.
When a supported employee breaks or drifts, bring it to the clinic and we diagnose it together.
A room of serious operators who notice when your next build dies on the to-do list.
Most owners stay, because the month they leave is the month they go back to figuring out AI alone.
Yes. Private implementation starts at $15,000 for one clearly scoped project, built hands-on by our team. We take very few of these, and only when the project justifies the capacity.
Want to know if yours qualifies? Ask Antonio about it on your call.
For most owners, the $4,500 launch is the smarter deal: build the first one with us, learn the pattern, keep the capability in-house.
I have payroll. People. Customers. Sales. Products. A family.
The latest model benchmark does not solve a single one of those problems for me.
I had the same feeling you probably have right now: "This is moving too fast. I know it matters. But what should I actually DO with it?"
So we stopped trying to understand all of AI and started building. AI employees for sales, email, reporting, research, content, operations, and decisions. In my businesses and in other people's.
The biggest lesson was simple. The hard part is not the technology.
The hard part is knowing what the technology should do inside YOUR business.
That is what this program is: my business judgment, Yuri's build judgment, and a small room that holds you accountable until the thing actually works.
Good, this was built for you. You bring the business judgment and make the decisions. We handle the AI side with proven patterns and the Build Lab. Owners with zero technical background have shipped working employees here. You do not need to become an engineer. You need to show up.
An AI-powered agent, app, or workflow with a defined job: clear inputs, a repeatable process, a real output, and a business reason to exist. Think "follow up on every lead within five minutes" or "keep the blog ADA compliant," not "a chatbot I talk to sometimes."
Most members put their first AI employee to work within the first seven days. Sometimes it takes hours, when a pre-built pattern fits your job closely. The build is fast because we start from proven patterns, not a blank screen. The honest part: the build is rarely the bottleneck. Learning to hand real work to it and trust what comes back is, and that is what the rest of the 30 days is for. The program is built to ship three employees by Day 30. How fast #2 and #3 land depends on you and your business.
At $4,500, we build it WITH you, so the capability lives in your company afterward. If you want our team to take on the build entirely, private implementation starts at $15,000. Ask Antonio about it on your call.
One mastermind session plus one Build Lab per week, and focused implementation work between them. It is built for owners running a company, not full-time students. The audit makes sure your first employee is scoped to fit the time you actually have.
You keep what you built. And you are automatically enrolled in the AI Execution Mastermind at $449 a month: the advanced room, weekly signal-over-noise briefings, the ongoing Build Lab, and help shipping employee #2 and beyond. Cancel anytime.
Less often than you would expect, because breaking it early is part of the build. The second half of your 30 days is spent testing your employee on real work, correcting it, monitoring it, and documenting it, precisely so it does not fall apart the first week alone. If something still breaks later, bring it to the weekly clinic and we diagnose and restore it together. We do not promise a 24/7 support desk. We promise you are never stuck alone with a broken system.
If you did the agreed work and your approved first employee is not functioning, we keep helping in the Build Lab at no additional charge until it is live. That is the guarantee.
Because every owner gets individual attention on their specific business. That is the product. When a cohort fills, the next seats open the following month, so booking your call early matters.
It depends on the employee we choose in your audit. We tell you exactly what your build requires and what it costs before we build, and we bias toward tools you already pay for.
Antonio looks at your business with you, identifies where an AI employee would create the most leverage, and tells you honestly whether the program fits. If it does, you pick your cohort. If it does not, you leave with clarity anyway. No pressure script either way.
You can spend the next 30 days the way you spent the last 30. Reading about agents. Comparing models. Saving videos. Wondering if you are behind.
Or seven days from now, your first AI employee is doing real work while you are not. And by Day 30, the program is built to have three.
One job. One AI employee. One measurable win. Then the next one.
A short, honest look at your business. If this is not your fastest path, Antonio will tell you.