Hallucination Detection Is Not a Model Problem—It's an Architecture Problem
Every week someone publishes a new paper on reducing hallucination rates by 3% with a better prompt or a fancier retrieval strategy. Meanwhile, in production, your agent just confidently told a customer their refund was processed when it wasn't.
The problem isn't that models hallucinate. The problem is that your system has no architectural mechanism to catch hallucinations before they reach users.
Stop treating hallucination as a model tuning problem. Start treating it as a systems observability problem.
The Three Layers of Production Hallucination
