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AI Agents · Lesson

Building a Golden Test Set

Curate 50-200 high-quality (input, expected output) pairs that cover the long tail of real usage.

What Is a Gold Set?

A "golden test set" (or "gold set") is a curated collection of (input, expected output) pairs that defines what good behavior looks like.

Every change is measured against this set.

Properties of a Good Gold Set

  • Diverse — covers common AND edge cases
  • Curated by humans — not auto-generated
  • Versioned — frozen in your repo
  • Documented — each case has a rationale

All lessons in this course

  1. Eval-Driven Development for Agents
  2. Building a Golden Test Set
  3. LLM-as-a-Judge Pitfalls
  4. Benchmark Suites: SWE-Bench, GAIA, ToolBench
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