An eval harness found what qualitative review couldn't: AI models are most confident when wrong
THE SO WHAT
If your team is still shipping LLM features based on “it looks good in staging,” you’re flying blind on the failure modes that matter. Build or buy eval harnesses that track hallucination under high-confidence outputs specifically—this is now a core QA surface, not a research nice-to-have.
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