Writing about local-first thinking, reusable context, and durable capture.
Organizations get dependable AI results when they give knowledge clear ownership, maintenance, and a connection to the workflows people use.
Knowledge becomes infrastructure when it is captured, connected, reviewed, and maintained so AI agents can use it under human direction.
Documentation is becoming part of how AI systems answer questions and do work, which makes maintained knowledge a core operating asset.
A framework for mapping current work, deciding where AI can help, naming what stays human-owned, and choosing the first workflow to improve.
