Get the best out of your top operators. AI is only as good as the context you give it and the systems you build on top of it. Push your top people to build agentic systems that ship MVPs, coordinate assets, and compound week after week.
Hands-on, weekly, outcome-oriented. Your team learns to build agentic systems with Claude Code — not just to prompt better.
Operations, product, and team leads. The internal talent already in your company. No engineering background required.
A working personal Claude Code setup, one shipped asset, and the mental models to keep compounding without you in the room.
Everyone says AI is moving fast. The real shift in the past several months wasn't the model — it was what companies can now build on top of it. Tools like Claude Code now let both technical and non-technical people build real AI-powered systems. Knowing how to use them well is what separates the teams that compound from the ones that stall.
Self-learning these tools takes months of experimentation. Sit down on a Saturday and the surface area is bigger than last week. People with day jobs don't catch up.
Most "AI training" still teaches prompts. Your team learns to ask better. They never learn to build.
We've spent the past several months full-time on this — building real AI systems for our own clients. We're handing your team what we found, so they don't have to start from zero.
Not just individual mental shifts. What measurably changes for your organization once you have a cohort of operators inside it.
Working assets shipped from inside the company. Internal tools, landing pages, coordinated content systems. Things that weren't on anyone's roadmap, now in production. Output goes up. You stop bottlenecking on external builds for small things. The training time pays for itself in artifacts produced.
Once a cohort operates at intermediate level, you have a foundation for deeper upskilling: knowledge systems, multi-project orchestration, custom integrations. This isn't a one-shot training. It's the start of an organizational capability.
The shift from AI as a tool to AI as architecture. This is what compounds across the organization, year after year. The capability stays even when individuals leave.
A fixed weekly slot, agreed at sales close. Calibrated for corporate teams with day jobs — up to 2h/week per participant: 75 minutes live, the rest async.
Claude Code setup confirmed working — the highest drop-out-risk moment, caught here, not later. Students learn to go to plan mode before building anything and to give Claude rich context, on a real working example (e.g. building a sales assistant from scratch). They leave with a high-quality, context-rich plan — execution starts next lesson.
CLAUDE.md, reference docs, and skills — what Claude reads and when. A scripted live build executes the Lesson 1 plan in phases (sketch, mockup, build, verify), captures repeated gestures as skills, and closes with a compounding retrospective: what did we learn, what goes back into the files.
Rules files, the global settings layer, and workflow-level (multi-step) skills that encode an entire process. Students get a decision framework for when to wire an MCP versus when not to, and run a self-audit on their own project setup.
Tracking work with an agentic project map, knowing when to trust AI output versus verify it, and testing patterns before calling anything "done." Each participant demos what they shipped to the cohort.
The workshop is built entirely around Claude Code — every plan, build, skill, and shipped asset happens in it, all four lessons. The judgment participants build (when to reach for an MCP, when a workflow deserves its own automation) transfers directly to adjacent tools like Claude Cowork or n8n, even though the live curriculum doesn't teach those tools directly.
Builds logic, manages project structure, automates execution. Your team works in this tool every lesson, from the first plan to the graduation demo. No engineering background required to get started.
Opens apps, extracts data, navigates dashboards, processes documents. Desktop-first, no terminal. Not part of the live curriculum — the judgment for when to reach for it comes from the workshop.
Visual canvas connecting apps, data, and AI tools — no code required. n8n is one option; pick whatever orchestrator fits your stack. Same note: not taught directly, the MCP decision framework from Lesson 3 is what transfers.
Short live time. Real outcomes. No hidden time tax.
We've spent the past several months full-time building real AI systems for our own clients — not just experimenting, but shipping. We work primarily in the Claude ecosystem, and we'll teach your team to do the same. The mental models and skills transfer to any AI suite they encounter after. The workshop is what we found, packaged so your team doesn't have to start from zero.
Cohort 1 design partner pricing is available for the first companies to join, in exchange for testimonial and case-study rights. We tailor the workshop to your team size and format.
Book a discovery call →AdapttoAI builds AI agents for traditional businesses. We turn manual processes (commercial proposals, after-sales, procurement, quote generation) into systems run by agents. Our clients are manufacturers, distributors, and mid-market operators across LatAm and EMEA, including some that distribute globally.
Beyond client work, our team has shipped its own AI products. A recruiting agent we built runs thousands of recruiting conversations each month. And we've been here before: our team has built technology companies, including one to over $100M in revenue, and sold another.
The AI Builder Bootcamp is one of our service offerings. We built it because the same question came up over and over from our clients: "How do we get our internal team to operate AI like you do?" This is our answer.