You can chat with AI.
This is about building with it.

Cuatro puts the AI landscape in order over thirteen weeks, so you can see how all the pieces fit together.

You build a marketing funnel for a real company, and hear how business operators are actually using AI.

Week one assumes you have never done any of this, and there is no coding at any point.

It runs inside your own Claude, so you are using AI the entire time you are learning it.

No tuition. Next cohort begins 14 September 2026.

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What the first cohort said

3x

better at getting real work done with AI.

Students rated their own ability in week one. The average was 1.3. They rated themselves again at the end. The average was 4.0.

1 = never done any of this.
5 = doing it confidently, on real work.

Over thirty people signed up to the first cohort. Nine completed the anonymous exit survey. That is roughly a thirty percent response rate, against an accepted benchmark of twenty to thirty percent for external online surveys. Self-rated, August 2026.

Improved

9 of 9

Every respondent moved up. Nobody stayed flat and nobody went backwards.

Smallest gain

+2

The least any single person moved, on a five-point scale. The largest moved four.

Every segment

4.0

Students, adults, finished and unfinished all landed on the same number.

Why Cuatro

AI arrives in four stages.
Cuatro is how you learn to see them.

01

Foundation

Governance, data, and deciding what AI may touch.

02

Capability

People who can direct it.

03

Automation

The work you already do, faster.

04

Reinvention

The work you could not do before.

Each stage depends on the one before it. Most AI training starts at stage three, because that is where the visible wins are. It teaches a tool, the tool works, and something gets faster. That part is real, and a lot of it is taught well.

But a company that automates before it has decided what AI may touch has built on a foundation nobody checked. The work is good. The order is wrong. And order is not a nicety: you would not switch on an AI agent and turn it loose across every file a business owns before anyone had written down which files it may read.

You cannot apply an order you have never seen. Cuatro is thirteen weeks of working across the whole landscape: the assistants, the tools built on them, the AI features arriving inside software a business already pays for, and the data underneath all of it. That is what turns those four stages into something you can use.

What this looks like in a company that already exists

Think about building a house. Architecture comes first, then site work, then the foundation, then framing, and that order is not negotiable. Design it properly and the building itself is comparatively straightforward. Skip a step and you find out later, at a cost.

That is the clean version of the four stages, and it is the version everyone pictures.

But no company is starting from an empty lot. The house is already up. People are living in it. And carpenters are at work inside. Some of them highly skilled, some inventive, some quietly cutting into a load-bearing wall to make room for something they are excited about.

That is what AI adoption actually looks like. Somebody in finance is running invoices through a chatbot. Somebody in marketing has three tools nobody approved. The CRM added AI features last quarter and nobody decided what they may read. None of that is careless. It is people trying to be useful with what they have.

In practice, bringing AI into a business is closer to a remodel than a build. The order still matters. The work changes.

You survey what is already there, because you cannot plan around what you have not found. You work out what is failing and what is load-bearing, so you know what has to be fixed and what must not be touched. You measure, test and reinforce the foundation before you extend anything on top of it, because everything above it inherits whatever you got wrong down there. And you get the independent carpenters working in sequence instead of all at once in different rooms.

That is the four stages applied to a house somebody is living in. It takes longer than starting fresh, and it is the situation almost every company is actually in.

Which is where Cuatro comes in. You cannot read an architecture drawing you have never seen. You cannot picture what a cracked foundation does to the structure above it until you have watched one crack. Thirteen weeks across the whole landscape is what turns those four stages from four words into something you can walk into a business and use.

That is the learner's side of it. Here is the employer's.

Finding

6%

of organizations qualify as AI high performers, the ones who can attribute five percent or more of their operating profit to it. Nearly two-thirds have not begun scaling AI across the enterprise at all.

McKinsey · The state of AI in 2025: Agents, innovation, and transformation · 1,993 respondents, 105 nations

Finding

16%

of AI initiatives have scaled enterprise-wide. Only a quarter have delivered the return that was expected of them.

IBM Institute for Business Value · CEOs Double Down on AI While Navigating Enterprise Hurdles · 2025 CEO Study

Finding

78%

of technology-sector leaders say AI adoption is outpacing their organization's ability to manage the business risks that come with it.

EY · Autonomous AI adoption surges at tech companies as oversight falls behind · March 2026, 500 US leaders

Read those together and it is the same picture three times. The investment is real and the return is not. Small oversights do not stay small, they compound as the work scales, and planning and governance matter most at exactly the moment everyone wants to move fastest.

Cuatro teaches the landscape so the method comes into focus. In a company struggling to get a return on what it has already spent, you could be the difference.

The work

What a Week actually looks like

A Week is a unit of work, not a date on your calendar. There are thirteen of them, and about two and a half hours a day on weekdays keeps you on pace to finish in thirteen weeks. If you need to go slower, nothing breaks: you move to the next Week when you finish the one you are in, and your Claude tutor knows where you are, what you have completed, and what is next.

Inside a Week there are four tracks: coursework, implementation, the real world, and networking.

You work through the coursework for general AI education, earning a certificate for each course you complete. The implementation is a marketing funnel, and each Week you build the next real asset for the company you chose at the start of Week one. The real world comes in through a forty-five minute conversation with an owner or operator who has actually implemented AI in their own business. And if you want to grow a network, there is guidance on posting about what you built, which is how the work becomes something other people can see.

The whole of it, over thirteen Weeks

8

marketing builds

One complete funnel, end to end, live on real URLs.

165

AI tools cataloged

Across twenty-one categories, from landing pages to video creation. Sixteen of those categories are scheduled work in the Weeks, not reading.

4

AI assistants used

Claude, ChatGPT, Gemini and Microsoft Copilot. How they differ, and which one to reach for when.

8

AI certificates

From Anthropic, Google, Coursera and more.

12

Virtual Lunches

Forty-five minute conversations with owners and operators who have actually implemented. Twelve are scheduled into the weekly cadence; seventeen sit in the library, and it grows with every cohort.

13

weekly guides

One per Week. A clear document setting out the work, so you always know what this Week is asking of you.

Your own Claude is the tutor.

Cuatro is not a platform. It is a set of documents your Claude reads. So it knows which Week you are in, what course you are taking, which app you should reach for on a given task, and how to orchestrate the whole build for a company. You can build the funnel for FlowMetrics, a SaaS company invented and documented in full, down to its customers, its numbers and its problems. Or you can set FlowMetrics aside and build around your own company.

Traditional course software cannot do that: everyone who logs in gets the same lesson. With Cuatro, you teach Claude your business and it helps you build real assets for it. Your tutor is there at eleven at night when something will not connect, and it will work a problem with you, teaching you along the way to the solution.

Students

What students say

Students were asked for the single most valuable thing they got out of the program.

exposure to AI capabilities that are broader than just ‘amplified Google search’ and hearing from speakers how they are, or plan to, use AI
Just learning about AI in general and being able to actually put it all into real use through our capstone project. I was able to document it all through LinkedIn which I will constantly refer back to for the future and to explain to others as well
Before diving into this course, I had no idea how to use AI aside from simple questions (like Google searches) in ChatGPT. I am certainly no expert, but I have more confidence to use the tools and continue learning.
Realization on how big AI is to our future and barely tapping into it. Now I am more comfortable going to ai for answers

The fit

Who this is for

If you are a student

In college, just out of it, or about to be.

You are graduating into a market that is rethinking what an entry-level role even is, and the roles being created want exactly this: someone who can direct AI tools and audit what comes back.

You walk into your first interview with eight certificates, eight built things, and a documented record of every tool decision you made and why.

When twenty graduates apply for the same role with much the same transcript, all else equal, you are the interesting one.

If you are already working

An operator, an owner, or a manager.

It starts at the beginning and builds one Week at a time, so knowing very little about AI is the expected starting point, not a problem.

Point the program at your own company and everything you make is something you can use the week you make it. The reasoning and diagnostic habits you build carry into any part of the business you turn them on.

Every non-student who answered the exit survey scored the program ten out of ten. Every one of them.

Why this exists

How it started

Midway through his junior year I asked my son, a business major, which AI classes he was taking. He was not taking any. That was a bad answer, and it turned out not to be his school's fault. A university needs twelve to eighteen months to build a curriculum and get it approved, and AI does not hold still that long. Nobody is doing anything wrong. The clock simply does not work.

So I built him an AI education program.

He told his friends. The friends told their parents. Forty people took the first one, most of them students, some of them parents who wanted it for themselves. I thought that was the end of it. Then the calls started about a fall class.

There is no tuition and no application fee. You will pay for a few subscriptions, and every dollar of that goes to them rather than to me.

I built it for one student. It turns out a lot of people are interested in learning about AI.

Start

Sign up today

Next cohort begins 14 September 2026

Thank you for signing up. One fun fact worth noting: this entire program, the website, the feedback survey and all the data analysis were built with the same Claude project system you will be learning. Last thing, I want to assure you that your contact information above will never be sold or shared. It is used only to run this program.

Russell Moon

linkedin.com/in/russellmoondallas How your details are handled

Questions

FAQ

How much time does this actually take?

About 160 hours of structured work, the coursework and the building, which is roughly a single three-credit college course. The LinkedIn posting and the speaker sessions sit on top of that. Two and a half hours a day on weekdays finishes it in thirteen Weeks; an hour a day gets you there in about five months, and what you finish with is identical either way.

What the first cohort actually did: asked how much time they were giving it on a normal day, six of the nine said two hours or less. The thirteen-Week figure is the fast lane, not the entry fee.

What does it cost?

There is no tuition, no application fee, and nothing to buy from me. The cost is subscriptions, and it runs about $100 a month: Coursera, ChatGPT and Claude. Every dollar of that goes to them, not to me.

Thirteen Weeks is about $300. At an hour a day it is closer to $500, because these are monthly subscriptions and the meter runs on your pace rather than on the program's. Most of the first cohort took the slower path.

Do I need to know how to code?

No. Not at any point. AI does the implementation; the skill you are building is directing it and knowing whether what came back is good enough to use.

What happens when I get stuck?

Two things. You have a Claude project configured as your tutor. It has read the curriculum, it knows which Week you are in, and it is built to work the problem with you rather than hand you an answer. If the tutor and you are both going in circles, write to me. I read everything that comes in.

What if I fall behind?

You are not behind. Nothing expires and nothing closes. One Week per calendar week is the pace it was designed around and it is worth aiming at, but the material is on demand and it waits for you.

Is there a Part Two?

Not yet. I am building it for next year, and it goes deeper: agentic AI, and how to lead an organization through implementing this rather than doing all of it yourself. It is for people who have finished Part One, because it assumes everything Part One teaches. There is nothing to sign up for and no waitlist. Part One is complete on its own. The eight things you build are yours, the eight certificates are in your name, and none of it is a qualifying round for something with a price tag. Finish Part One and you will hear about Part Two.

Could I not just set this up myself?

Partly, yes. The eight certificates are public courses and the subscriptions are the same ones anyone can buy. Nothing here is proprietary, so there is no price to hide behind. What you would be missing is the order the courses go in, a documented company to build for, twelve recorded conversations with operators who have actually implemented, and a tutor written to refuse to do certain things for you, including writing the answers to your own tests. An assistant you configure yourself will write those, agreeably, in seconds. That is the problem: the skill this program teaches is auditing what an AI hands back, and you cannot learn it from one that has never been told to resist you.

Do I have to join a cohort?

No. Join one and move through it alongside other people, or start on your own, any time. Identical material either way. The next cohort begins 14 September 2026.

Thirteen Weeks. A map, not a tool.

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