Pillar 2 · Chapter
Getting It Out of Your Head
How to capture what you know so AI can carry it: what to document, how to do it without weeks of writing, and how to keep it unmistakably yours.
How do I get everything in my head into AI without losing what makes it mine?
Capture it in your own words first, then hand it to AI: your method, your cases, your voice. Generic output comes from giving AI nothing of yours to work with.
Is it safe to put my proprietary knowledge into AI tools?
Safer than the fear suggests, if you are tier-aware: business tiers of major vendors commit by default to not training on your data, consumer tiers are setting-controlled, and the real risks are more mundane than IP theft.
How do I train AI to actually know my methodology?
You don't train it, you brief it permanently: your method written as documents the AI reads every time it works. Persistent context beats fine-tuning for almost every founder-led business, and the testing loop is where it gets sharp.
I keep repeating myself to clients. How do I capture it once?
Your repetition is a pre-sorted capture list: everything you say three times is stable, valuable, and tested. Record the best telling, build a canonical answer library, and route it through your delivery and your AI.
How to Document Your Expertise So AI Can Actually Use It
Machine-usable documentation is plain, structured, and explicit: decision rules over descriptions, examples over definitions, and five files over a wiki. The formats that fail are the ones your industry loves.