AI Documentation System
How to turn repeated work into reusable knowledge — what to document, the documentation stack, and SOPs drafted from real work.
1. Start here
Most people don't have a documentation problem — they have a memory problem. They solve the same issue twice, rewrite the same explanation, forget why a decision was made, and do a task one way Monday and another way Friday. Then everything depends on asking the right person at the right time.
AI fixes this not by magically documenting everything, but by turning repeated work into reusable knowledge.
2. What to document — and what to skip
Document things that repeat, that others depend on, and that you keep re-explaining. Skip things that change weekly, one-offs, and anything nobody will read. The documentation stack matches the doc type to the job: SOPs when a task must be done the same way, decision records for the "why," and explanations for the questions you keep answering.
3. Draft from evidence, review like a human
The system works from real materials — transcripts, messages, an over-the-shoulder walkthrough — not from memory. AI maps the knowledge, gathers evidence, and drafts the SOP; you test it in real life and keep it updated with a lightweight review loop so the docs stay true.