Eval-Driven Development for AI Agents

Prompts need tests

Reading a handful of transcripts is not a release process.

Eval-driven development gives agent teams a release discipline.

Measure the workflow, not the model alone

Agent quality is a property of retrieval, tools, orchestration, latency, and cost.

A release can improve answer quality and still fail if it doubles runtime cost.

Build datasets from production reality

The best reference sets come from sanitized real workflows, edge cases, and prior incidents.

Every bug should become a regression case.