hardGlean Perplexity Harvey

Your RAG system aces your eval set but fails on real user queries. How do you close the gap?

A 90% eval score and angry users at the same time means your eval set doesn't look like reality. The fix is to make evaluation track production, not the other way around. Here is how.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

A 90% eval score and angry users at the same time means your eval set doesn't look like reality. The fix is to make evaluation track production, not the other way around. Here is how.

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