Define “good enough” before you accept an AI output

Create a task-specific checklist for evidence, review coverage, approvals, and stop conditions—without submitting the output itself.

Before you begin

  • Do not paste an output, source material, or confidential data.
  • Choose the most serious credible consequence of an error.
  • A blocked result cannot be overridden by a positive signal.

Uses methodologyoutput-verification-1.0.0. It runs locally and does not use a generative model.

Private by design. Use categories only—do not enter an actual AI output. Answers and exports stay in this browser.

Generate a review checklist

Describe what must be verified

The builder sets minimum checks and reviewer requirements. It does not inspect, approve, or certify an output.

Step 1 of 4Answers stay in this browser

Output and audience

Choose the deliverable, not a model or provider.

Who will rely on the output?

High-impact subjects include people affected by employment, eligibility, health, credit, or similar decisions.

What is the most serious credible consequence of an error?

Use consequence before controls or review.

This builder creates a review checklist; it does not evaluate or certify an actual output. See representative checklists, read the canonical verification guidance, orrequest a correction.