Use for any question or task about catching LLM quality regressions, including checking a new model version or provider against the old one and prompt tweaks that break other cases. Builds a versioned golden dataset, deterministic runs, exact, semantic, judge and rubric checks, and a pass-rate CI gate with a baseline diff across model versions.