- AI Eval FAQs; June 2025.
- AI Evals Flashcards
EvalOps
EvalOps is the control plane for AI evaluation and routing. It helps teams compare LLMs, track performance, and automatically send each request to the best LLM. EvalOps turns evals into your release contract
- scorecards,
- scenarios,
- monitors, and
- CI gates that keep quality from drifting and get you out of POC purgatory.
The Pillar worklow:
- Define — Scorecards establish quality metrics
- Test — Scenarios provide comprehensive coverage
- Gate — CI Gates block regressions
- Monitor — Continuous production oversight
The LLM quality problem — Traditional testing breaks down with LLMs. Non-deterministic outputs, subjective quality metrics, and emergent behaviors make it impossible to ensure quality with conventional approaches.
60% of teams deploy untested changes — No systematic way to validate LLM quality before production
Average 4 hours per regression — Time spent debugging issues that reach production Manual evaluation bottlenecks — Human reviewers can’t scale with deployment frequency