Of 128 wiki pages, I had personally read almost none. When AI builds every connection, the knowledge graph belongs to the AI. It just lives under your name. How I built a weekly review workflow and a Slack safety net to keep my own thinking in the loop.
One source at a time, I reviewed carefully. Seven at once, and by the fifth I was scanning titles and rubber-stamping. How I recognized the browse-and-accept failure mode, and why splitting ingest into three separate stages fixed it.
Twelve entries seeded the source registry. Two had real evidence behind them. Ten were AI guesses stored in a file that looked like confirmed facts. How I reconstructed evidence from the ingest history, and what it means when confirmed and unconfirmed data look identical in a system you built to prevent guessing.
Source trust judgments kept drifting between sessions, so I built a registry to make them persistent. The two-axis framework behind that design, the author-level extension that strengthened it, and the uncomfortable thing I found in the seed data I'd used to populate it.