How To Evaluate An AI Agent
Our take: Practical evaluator framework for agents; solid tooling but incremental on agent testing.
Why Impact & Innovation? We ask two questions of every story: did this actually change something in the real world (Impact), and is the idea genuinely new (Innovation)? Together, that's the TS Score — not engagement, not who posted it, just what matters and what's new.
Testing AI agents requires solving two distinct problems: handling non-deterministic outputs from LLMs and evaluating subjective qualities like empathy, which Pydantic Evals addresses through purpose-built evaluators.
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