ai-content-quality
AI Content Quality Framework
A systematic methodology for developing high-quality AI-assisted content and identifying content that falls short. This framework defines 27 criteria organized into confidence tiers for evaluating whether AI-assisted content meets professional publishing standards.
When to Use This Skill
- Reviewing AI-assisted drafts before publication
- Editing content that may contain unrevised AI output
- Building or calibrating AI content detection tools
- Training writers or editors on AI content quality standards
- Performing editorial review of submitted content
Core Philosophy
AI-assisted content creation is legitimate and valuable. The distinction that matters is between:
- Unedited AI output: Raw generation copied and published without human refinement
- AI-augmented work: Human expertise enhanced by AI capabilities, with proper oversight
- Systematic human-AI collaboration: Methodical integration where humans maintain judgment, add genuine expertise, and ensure quality
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