A curriculum that starts with your first prompt and ends with the architecture your business runs on.
This is a self-guided curriculum in how to actually work with AI — and the same method we use when we roll it out inside a real business. It is general and educational: no vendor pitch, no magic. You start by treating AI as a brilliant intern — fast and tireless, but to be checked every time. You end running an operating system that makes work visible, reusable, and reportable, with Claude as a coworker and Claude Code as an operator.
The arc is deliberate: foundation → reusable helpers → a coworker you delegate to → an operator that works on your files → your own AI operating system. Each part builds on the one before it. Read straight through, or start wherever you are today.
AI as a brilliant intern. The three rules, the prompt formula, data safety, reusable helpers, and the weekly report that makes invisible work legible.
→Delegating real work to a conversational partner — Projects for durable context, Artifacts for live deliverables, and the discipline that keeps it honest.
→The leap from AI that answers to AI that operates — working on your files and systems, with the guardrails that operating power demands.
→The endpoint. A source of truth, workflows around it, and a review architecture that keeps it honest — where coaching meets the advisory practice.
→Two frames run through the whole curriculum. The maturity ladder names where someone is today — an operating scale, not a school grade. The 12-step arc is the path from a first prompt to a report tied to the real job. Full detail lives on the foundation page.
This is not a curriculum assembled from other people's slides. It is how our own multi-entity family business operates — the same foundation, the same discipline, the same operating system. We run it internally first, then coach it.
A coaching foundation everyone shares — applied to the real work in front of each person.
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