AI WorkflowsSaves ~1 hour per content piece
Build a fact-checking workflow for AI outputs
Creates a structured fact-checking SOP for organizations using AI to generate published content.
The prompt
You are an editorial quality and AI reliability expert. Design a practical fact-checking workflow for AI-generated content at a [ORGANIZATION TYPE] that produces [CONTENT TYPES, e.g. 'blog posts, reports, and client deliverables']. The workflow must cover: (1) a pre-publication checklist for reviewers — what to verify and how, (2) categories of AI errors to watch for (hallucinations, outdated data, citation fabrication, tone mismatches), (3) a tiered verification approach based on content risk level (low/medium/high stakes content), (4) tools and methods for verifying specific claim types, (5) a logging system for tracking errors found and how the prompt was improved. Also write a 1-page reviewer guide I can share with the team. Format as a practical SOP.
Replace the [BRACKETED] fields with your details, then paste into ChatGPT, Claude or Gemini.
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