Golden Sets: Building and Maintaining the Eval Data That Decides Launches

A golden set is the curated collection of inputs, with pass criteria, that every model, prompt and retrieval change is evaluated against. Good ones mix production samples, high-risk cases, past regressions, long-tail and adversarial inputs, keep a held-out slice, carry segment tags and have a named owner.