Task Fit Check
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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 methodology output-verification-1.0.1. 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.

Could the output affect a person in a high-impact decision? If not, who relies on it?

Answer the first option whenever an employment, eligibility, health, credit, housing, education, legal, or similar decision about a person could be affected—even if only an internal team or you will read the output. Choose a reader only when no such person is affected.

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, inspect the published rule tables, or request a correction.