Builders compare synthetic and adversarial datasets for day-zero evals before launch
RottenAversion · reddit · 2026-07-24
A builder says they are stuck on pre-launch evaluation design: there are no production logs yet, so they need to manufacture a baseline and a gold-standard dataset before launch.
Their current approach relies on synthetic users and adversarial personas to probe hallucinations and prompt failures, while using Braintrust to version evals. They ask how others handled the day-zero dataset: ship with synthetic coverage first, or launch and fix in production?
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