AI Agents Evaluation Regression

Agent Regression Test Prompt

Make sure a fix didn't break three other things — compare an agent's outputs across two versions on the same scenarios and flag every behavior that changed for the worse.

Overview

Tuning an agent is whack-a-mole: improving one case silently regresses others, because the change is a prompt edit with no compiler to catch the fallout. This prompt runs a regression check — the same scenario set against the old and new version — and classifies each change as improvement, neutral, or regression, surfacing the behaviors that got worse so a fix doesn't ship a hidden break.

Why This Works

  • A version diff on the same set catches the silent regression a spot-check misses
  • Classifying each change makes the trade-off of a fix explicit
  • A critical-regression veto stops net-negative changes from shipping

Best for

  • Iterating on an agent's prompt or model
  • Any agent change heading to production
  • Teams that fix one case and break another

Not for

  • Building the scenarios — use the Agent Test Scenario Prompt
  • Scoring a single version — use the Agent Evaluation Scorecard

Use cases

  • Checking a prompt change for hidden regressions
  • Comparing two agent versions before shipping
  • Documenting what a change improved and what it broke

Tip: Save time by exploring related resources and tools that integrate with this workflow.

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