Updated 2026-02-25
5-Minute AI Output Quality Check
A fast five-point review framework for validating AI outputs before internal or external distribution.
QualityCornerstone 7 min For Team leads and individual contributors
What You Will Get
- Apply a repeatable quality gate before publishing
- Reduce factual and policy errors in AI output
- Standardize pass/fail decisions across team members
The 5 checks
- Validity: are claims factually grounded?
- Completeness: does output answer full task?
- Tone: does it match channel and audience?
- Risk: any policy/privacy/compliance conflict?
- Actionability: can next person execute immediately?
5-minute review rhythm
- Minute 1: factual red flags
- Minute 2: structure completeness
- Minute 3: tone and business fit
- Minute 4: risk scan
- Minute 5: pass, revise, or reject
Pass policy
- at least 4/5 checks pass
- risk check must pass
- failed output must include correction note
Common mistakes
- treating fluent writing as accurate writing
- skipping risk checks under time pressure
- no explicit reject criteria