AI Quality Review Planner

How to use AI Quality Review Planner

Before delivering AI-assisted work, record what was checked, how many items failed and who can approve release. Keep a numeric threshold separate from customer acceptance and critical defects.

1. Define inspectable standards and how the review sample was selected.
2. Enter reviewed items and the number with any defect, then enter review labor.
3. Use the output as a hold or review signal and obtain qualified human sign-off before release.

Good to know

• Counts defective items, not total individual defects. The sample rate is descriptive and includes no confidence interval or population claim.
• Critical defects can block release even when the entered percentage threshold is met. Zero sampled items is N/A, not a zero error rate.
• Estimates use floating-point arithmetic, rounded for display. Inputs must be finite nonnegative decimals at most 1 billion (whole counts at most 1 million); nonzero inputs below 0.000000001 and results outside the supported range are rejected.
• Runs locally without AI model calls, network requests or saved input. Text is limited to 8,000 characters per field and lists to 100 nonempty lines. Downloads contain your text; review them before sharing.