Evaluation · LLMOps

Know whether your AI is good enough to ship.

An evaluation and observability workbench that compares prompt / model variants on quality, cost, latency, and safety — and recommends a release gate.

Try a sample evalBuild a suiteHow it works

Runs in mock mode — no API key required. Add ANTHROPIC_API_KEY to score with real models.

Sample suites

Pick a suite and run an eval

Each suite compares a baseline variant against an improved one, scores every case on quality, cost, latency, and safety, and recommends whether to ship.

Support reply quality

gate ≥ 4.0

Are auto-drafted support replies accurate, on-policy, and grounded in the ticket?

2 variants3 casesclaude-opus-4-8
Open suite →

JSON contact extraction

gate ≥ 4.2

Does the model return strictly valid JSON with the required fields?

2 variants2 casesclaude-opus-4-8
Open suite →
Deterministic checks first

Schema, must-include/exclude, and regex run before any model call — free and fast.

LLM-as-judge

claude-haiku-4-5 scores relevance, faithfulness, and safety against a rubric with confidence labels.

Release gate

Average quality vs a threshold yields a ship / hold recommendation — not just a wall of scores.