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