Progressive Disclosure
AI Agent Progressive Disclosure
A monolithic context.md quietly dilutes an agent’s accuracy: every run loads everything, relevant or not. A simple structural change helps — progressive disclosure. Instead of one large context file, split it: keep a small table of contents that links to short, focused detail files. This decouples total knowledge from per-run context. The knowledge base can grow, but any single run loads only the index plus the one relevant file — so the context stays small and focused, and accuracy improves. The trade-off: complexity goes up. The index becomes a retrieval gate — the agent may load the wrong file, or none — and the split files need maintenance. An acceptable cost, but a real one.