Loop

Evals & Verification

Knowing whether your prompts and agents actually work.

0 of 4 lessons complete · 52 min total

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  1. Define Success Before You PromptWriting measurable success criteria first, so prompt iteration is optimization rather than vibes.Lesson · 14 minNot completed
  2. Grading at Volume with LLM-as-JudgeAutomating evaluation with model graders, prioritizing many imperfect evals over few perfect ones, and calibrating judges against human spot checks.Lesson · 15 minNot completed
  3. Evaluating AgentsStart tiny, judge end states rather than paths, and keep humans in the loop for the failure modes graders miss.Lesson · 15 minNot completed
  4. Evals CheckpointCriteria design, judge calibration, and agent-eval pitfalls.Checkpoint · 8 minNot completed