Evaluation pipelines

What the pipeline measures

Evaluation pipelines turn model and workflow behavior into repeatable checks. They can measure task success, retrieval quality, tool-use accuracy, latency, cost, and reviewer agreement.

The pipeline should make regressions visible before users or operators feel them.

• Golden datasets
• Model comparisons
• Regression gates
• Release checks

Release gates

A release gate is a decision point, not just a score. We define thresholds, review expectations, and failure handling so quality changes are explicit.

Handoff

Your team receives the eval assets, instructions for adding new cases, and the operating notes needed to keep the pipeline useful.