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SIT-Eval: How Situation-Based Turn-by-Turn Evaluation Exposes the Plumbing Gaps in Conversational Agent Benchmarks

This story is from 2026-10-20. It is preserved in the archive; the latest stories are on the live feed.

Conversational agents fail in production because benchmarks test the wrong things. Aggregate metrics hide context-dependent failure modes. A customer service bot that scores 85% overall might fail catastrophically when users ask ambiguous questions or need clarification, but you won't see that in a…

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  1. 2026-10-20 00:07 · DEV Community — AI
    SIT-Eval: How Situation-Based Turn-by-Turn Evaluation Exposes the Plumbing Gaps in Conversational Agent Benchmarks

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