Institutional Knowledge, Perfected
Transform scattered documentation into nested, searchable knowledge trees. When someone leaves, their AI-captured context, decisions, and tribal knowledge get organized into progressive layers of detail—surface level for quick answers, deeper nests for context and rationale—so new hires ramp up in weeks not months.
A new engineer joins, searches "why did we choose this database?", and unrolls a matryoshka thread: first a 30-second summary from the departing lead, then the architecture doc, then the actual Slack debate from 2 years ago, then the decision framework—all surfaced by an AI that remembered every conversation like an elephant.