September 2026
Intermediate
216 pages
5h 33m
English
Content preview from AI Evals in Practice
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Chapter 13 — Eval-Driven Development Workflow
You have the components: datasets, scorers, runners, regression detection, cost tracking, production monitoring. Now we assemble them into a complete workflow — a systematic practice that makes evals the center of your development process, not an afterthought bolted on after deployment.
Eval-driven development (EDD) is to LLM systems what test-driven development (TDD) is to traditional software. In TDD, you write the test first, watch it fail, write the code to make it pass, and refactor. In EDD, you define the quality criteria first, measure the current baseline, make changes, and verify improvement. The eval suite is not a safety net — it is the steering wheel.
This chapter walks through the complete ...
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