How to Review AI Documentation: A Practical Checklist

Your AI writes a README in 4 seconds. Reviewing it properly takes 4 days — if it happens at all.

That's the new documentation problem. Copilot, Claude, and Cursor generate specs, READMEs, and runbooks faster than any team can check them, and unreviewed AI docs are how a README ends up pointing at port 3000 while the app runs on 5173. This guide gives you a practical, tool-agnostic checklist for reviewing AI-generated documentation — the same process whether you review in pull requests, Google Docs, or a purpose-built tool.

Why AI docs need a different review process

Human-written docs fail in predictable ways: they go stale, they skip steps the author thought were obvious. AI-written docs fail differently:

• Confident hallucination. AI states wrong facts with perfect grammar. A human reviewer skimming for "does this read well?" will miss them, because they read great.
• Plausible-but-outdated commands. Models learned from older versions of your stack. npm install -g advice that was right in 2023 may be wrong today.
• Invented specifics. Port numbers, environment variable names, API parameters — AI fills gaps with plausible inventions rather than leaving blanks.
• Drift at generation time. The doc was accurate against the codebase the AI saw — which may already be three merges behind.