Every AI output you deliver carries your name on it. This toolkit makes sure it deserves it.

The AI Output QA & Audit Toolkit is a structured quality-control workflow for reviewing AI-generated content before delivery — built around one chain: Evidence → Risk → Scope → Decision → Release.

What's inside (7 components):

1. AI Output Auditor v1.0 — the QA methodology: evidence states, risk levels T1–T5, hard rules, release gate
2. Quick Start guide — run your first audit in minutes
3. Audit Tracker (Excel) — claim-by-claim log with dropdowns, automatic 7-condition Release Gate, dashboard, and reference sheet
4. Blind Test Pack — protocol and templates to prove the audit catches real flaws
5. Solved Audit Examples — worked examples, including real blind-test cases
6. QA Checklist — one-page pre-delivery check
7. Limitations & Usage — clear boundaries of what this toolkit is and isn't

Battle-tested: in our own 10-case blind conformance test, the release gate blocked 8 of 9 flawed outputs — and correctly passed the clean ones.

Model-agnostic: works the same whether the output came from GPT, Claude, Gemini, or any other model. Stronger models don't remove the need for auditing — confident wording still needs evidence.

Note: this is a QA/audit workflow, not a prompt pack and not a certification system. It enforces evidence discipline; it doesn't replace human judgment on high-risk claims.

Our promise: 7-day money-back guarantee — if your download is broken or the files aren't as described, contact us within 7 days for a full refund.