How to eval an AI agent before you have users: synthesize realistic queries first
hugobowne · x · 2026-09-24
A practical playbook for cold-start agent evals: define who your users are and what they're doing, feed that context to a model to generate candidate queries, curate them by hand, and mine existing sources like support tickets and onboarding docs. Run them through your prototype, log passes/failures, and you've got a seed eval set for every prompt or tool change.
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