Evaluating AI Agents with Test Sets and Rubrics
Stop guessing whether your agent got better. Build a small test set, write a scoring rubric, and compare changes with evidence instead of impressions.
You change a prompt, the agent seems better on the one example you tried, and you ship it. Two days later, a different case breaks. The cure is an evaluation: a small, fixed set of realistic tasks and a clear way to score them. It takes an afternoon to build and saves weeks of guessing.
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