The Ecosystem. EN

The goal is one: autonomy. You stop using AI and start designing a company where AI works: solo, in agent teams, in the background, all the time. You are the captain.

Haven't done AI as a Partner yet? That part has its own page →

A change of role: from conversation partner to captain

This is where 80% of the whole path's value sits, and that's why it requires the foundation from AI as a Partner. Your role changes: from talking with one partner you move to being the captain. Sometimes one agent walks beside you like a super-expert. Sometimes you delegate like to an agency: a dozen or so agents work in the background while you verify. Sometimes it looks like you commissioned one or several agencies at once, executing tasks in parallel, while you collect the results and decide.

This work is multidimensional: you delegate to one agent, to several at once, or to a whole network of agents working as a team, like an agency. Autonomous agents run on their own, all the time, where the process is shallow and a mistake is cheap. With a clear line: what we never hand over to automation.

You learn the different levels of collaboration and verification. That is why AI as a Partner is key: if you cannot communicate well and work with one agent, you will not manage a whole group of them.

Four horses, one driver.

Every edition runs on the current stack of leading tools: Claude and Claude Code, Codex, Gemini, ChatGPT. You learn which tool serves what and how to combine them, because the same business need is sometimes best served by one, sometimes by another. Tools change every quarter; the way you harness them stays.

What we work on (10 weeks)

Two blocks of 4 sessions, each ending with an implementation week. This is how the last edition ran; every edition is tuned to the group and to what just changed in AI:

• The professional environment: why Claude Code changes everything, working on your company's files, the project context file, many chats in parallel, deep research with subagents and self-consistency. What took an hour in a chat happens here in the background, across dozens of documents.
• The patterns of the effective: what separates people who get a 10× return from AI from everyone else. Two types of users, the open-topics trap, "AI will always praise you unless you ask otherwise", when skill loss is a real risk and when it isn't.
• Your own apps and MCP servers: a web app from scratch, access rules and security, wiring AI into your own app through an MCP server, designing tools for your business. A participant of the previous cycle built, over a weekend, a tool she had been quoted 30 thousand for.
• When to delegate and when not to: complicated versus complex problems (Cynefin), leverage from data: where in the company to collect context, skills and subagents for repeatable analysis, a weekly after action review.
• A company on AI rails: the three layers of an AI-first company (data, strategy, execution), ultra-niche positioning, the strategic conversation with AI on business frameworks, a funnel with gated entry, kaizen on data: 52 improvements a year.
• Agent teams: designing the AI-first company on a full system map, building a team of agents, delegating and running them: one agent, several, a whole network. Agents in the browser and automating LinkedIn work.
• Marketing at full scale: professional SEO and positioning for AI search engines, producing and optimizing paid ads, content created from your own high-quality team material, in a voice matched precisely to your customer's psychography, diagrams instead of walls of text.
• Small work automations: alongside advanced agents with roles and data access, also the everyday improvements and scheduled tasks running in the background.

One caveat, because I owe you honesty: the topic map lives. The program is adjusted every edition to what just changed in AI and in the market: a new model ships and changes what's worth doing, a case shows up in the group that beats the plan, I add an extra recording. The skeleton and the goal are always the same. If they didn't live, this program would be outdated within a quarter, like most AI courses.

Not notes. A working machine.

• AI that knows your business from the inside: the whole company's context in one place, on your own files.
• A working tool or app tailored to you, which you change yourself in fifteen minutes.
• A team of agents: research, marketing, finance, operations. Run solo, in groups, or autonomously in the background.
• Marketing that runs itself: SEO, ads, content in your voice, on a rhythm you sustain in hours, not days.
• A rhythm of continuous, data-driven improvement that every new model strengthens rather than outdates.

How it works in practice

Live sessions online, Tuesdays. Camera on and conversation, not a webinar. A live group, everyone works on their own business: there are recordings and assignments between sessions, because that's how people actually learn, but be there live, because when the group works together, the execution rate is incomparably higher. Plus a WhatsApp group I'm in every day. Invoice: of course.

After every session you get the full outline: exact steps, prompts, the recording. Materials: a year of access. And a thing that exists nowhere else: an AI coach built on the session material. On the platform you connect your AI to the outlines with one click and it knows the whole program. After every session it creates personalized homework built exclusively on your case: no generic assignments, you work through your own business. It walks you through the session a second time, you recall what happened live, and then it leads you on your own company. One thing matters: be there live, because real learning and change come from work, not from recordings.

Specifics, not promises.

So you know. Before you decide.

• Prerequisite

  The Ecosystem requires AI as a Partner. Not because it's convenient. Without an installed way of working, a team of agents only accelerates chaos. Start with AI as a Partner →

• Time

  This is not a magic button. Plan for 5 to 10 hours a week of work on your own business. That filters people. On purpose.

• The line

  Quality is non-negotiable. Autonomy goes to shallow processes where a mistake is cheap. Decisions and thinking are never handed over to automation.

Price and enrollment

$500 per month · 2 months · 8 sessions in two blocks · $1,000 total · starts: October

The full path (AI as a Partner + The Ecosystem): $1,300. Transparent math: 300 + 1,000 = 1,300. Zero tricks. You pay per stage; every stage has a named result.

I want in →

Includes a year of access to recordings and materials. No fake discounts, no countdowns, no "last 3 spots." The price is the price, the dates are real.

After the program we stay in touch and keep talking. You'll hear the details when you're in.

FAQ

The better AI gets, the bigger YOUR advantage.

Every stronger model is a stronger wind. The ecosystem you build here, your files, your tools, your agents, doesn't age with the models. It grows with them: every new model means your analysts, strategists and executors just got a few points of intelligence, while your competition is exactly the same as yesterday. The only question is whose sail is up.