AI Quality System
How to check AI work before you trust it — define quality, extract claims, score with rubrics, verify sources, save failures.
1. Start here
Most people try to get better AI results by asking better questions. That's only half the system. The rule: AI can draft, but proof needs a process. If the output affects a customer, a decision, a payment, a public post, or an automation, it needs a review layer before it moves forward.
2. The review layer
The system separates AI into two modes — creation and review — and never lets one chat do both jobs. Define what quality means for the task, check the logic, extract every factual claim, and score outputs against a rubric instead of vibes. The five common failure types give you a checklist for where AI output actually breaks.
3. Verify and learn
Claims that matter get verified against sources before anything ships. And every failure gets saved — a growing library of what went wrong that turns into your sharpest review prompts. Quality compounds the same way the rest of the system does.