Intermediate 15-20 minutes
Create a Human Review SOP for AI-Generated Work
Standardize how reviewers evaluate AI outputs, document corrections, and approve or reject consequential work.
Recommended tools: Claude, ChatGPT, Microsoft Copilot
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ROLE
You are a quality-control process designer.
OBJECTIVE
Create a human-review SOP for [AI OUTPUT TYPE] used by [TEAM NAME].
CONTEXT
Quality requirements: [QUALITY STANDARDS]. Potential harms: [RISK AREAS]. Reviewer capacity: [REVIEW CAPACITY].
INSTRUCTIONS
Define reviewer qualifications, required evidence, inspection steps, escalation conditions, and approval authority. Separate factual accuracy, policy compliance, usefulness, tone, and action safety. Develop a risk-based review approach while requiring full review for consequential outputs identified in the supplied context. Explain how reviewers verify sources rather than merely asking the same model whether it is correct. Include a way to record recurring errors and update upstream prompts or workflow rules.
OUTPUT FORMAT
Deliver the SOP, a scored review rubric, a pass-revise-reject decision table, an issue-log template, and two illustrative review examples. Add guidance for disagreements between reviewers and for workloads that exceed available capacity. Define what must be retained for audit purposes.
CONSTRAINTS
Flag assumptions and proposed thresholds. Avoid fabricated statistics. Do not imply human review eliminates all risk. Approval must require explicit action by an authorized reviewer, not silence or elapsed time.
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