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The two-lane eval: model score vs product score for an MCP agent

TL;DR A two-lane eval runs the same cases against the model alone (model lane) and through the whole product (product lane), and keeps the scores separate. In August 2026 the same Qwen3-4B agent scored 42/70 in the model lane (failed the ship gate) and 46/70 in the product lane (passed it). One gua…

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  1. 2026-10-30 20:23 · DEV Community — Machine Learning
    The two-lane eval: model score vs product score for an MCP agent

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