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of the knowledge base and identify: - duplicated or overlapping information, - hallucination risks, - contradictory or outdated content, - broken links, orphaned pages, and missing references, - inconsistent naming, tags, or structure, - weak or low-context notes that may confuse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.