This wiki is the source of truth for future agents, automations, and chats.
Perform a full audit of the knowledge base and identify:
- duplicated or overlapping information,
- hallucination risks,
- contradictory or outdated content,
- broken links, orphaned pages, and missing references,
- inconsistent naming, tags, or structure,
- weak or low-context notes that may confuse agents.
Evaluate whether AI agents can reliably retrieve accurate, canonical information without confusion.
Generate:
- prioritized issues,
- recommended fixes,
- canonical merge suggestions,
- highest-risk pages/entities,
- most authoritative nodes,
- graph and structure improvement recommendations,
- overall “agent-readiness” confidence score.
Think like a knowledge architect building a hallucination-resistant memory system for autonomous AI agents.