Hallucination Mitigation: Making AI Wrong Less Often, Detectably

Every claim traceable to a source; thin retrieval triggers 'I don't know' plus escalation. A bot that declines gracefully beats one that invents policy.

Evaluation sets from real cases give you an error number before launch and drift alerts after. Unmeasured systems hallucinate confidently; measured ones tell you exactly how often.

Skipping the discipline this article describes until an incident, audit, or stalled project forces it — every practice above is cheaper adopted early than retrofitted under pressure.