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Prompt & Evaluation Management

Prove quality before release.
Keep proving it in production.

Compare prompts and models, run offline regression tests, evaluate live traffic, and turn production failures into stronger tests for the next release.

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Solution Brief

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Run the full eval engineering lifecycle

Compare prompts and models, run offline regression tests, evaluate live traffic, and turn production failures into stronger tests for the next release.

Side-by-side prompt and model playground

Compare outputs, quality, cost, and latency before anything ships. Refine prompts with evidence instead of intuition.

Prompt versioning linked to traces

Store every prompt version with full history and attach the version to each trace. Reproduce behavior and audit exactly what ran.

Flexible evaluation metrics

Use built-in metrics, heuristic checks, LLM-as-judge, or custom evaluators. Apply the right scoring logic to each use case.

Offline regression testing

Run changes against curated datasets before release. Benchmark prompts and models, catch quality drops, and validate improvement in CI.

Continuous online evaluation

Apply the same metrics to live traffic. Surface regressions, drift, safety issues, and weak responses with the underlying trace attached.

Production-fed datasets and feedback

Annotate low-scoring traces with human or automated feedback, then promote real failures into reusable datasets that strengthen every regression suite.