How to Use AI for Documentation

Product docs

Help articles and user guides

Technical docs

APIs, code, and architecture

Process docs

SOPs, checklists, and runbooks

Internal knowledge

Policies, onboarding, and FAQs

Good docs save hundreds of repeated questions. AI makes good docs easier to keep.

We are documenting [product or process] for [audience]. Suggest a clear docs structure with sections, page titles, and what each page should answer. Start with the most common user questions.

• Meeting notes and recordings
• Support tickets and chat threads
• Screen recordings of a process
• Code and comments

Ask AI to turn raw material into a first draft, then fill gaps and check accuracy.

• Short sentences and plain words
• Task-focused headings, such as “How to reset your password”
• One idea per paragraph
• Consistent terms for the same thing

Give the style guide to your AI tool so every draft follows it.

• Ask coding agents such as Claude Code or Codex to write docstrings and READMEs
• Generate API reference drafts from code, then review
• Include real, tested examples
• Keep docs in the same repository as the code

• Turn recorded walkthroughs into step-by-step SOPs
• Add owners and review dates
• Link related pages

• Ask AI to compare docs with recent changes and flag outdated pages
• Update docs as part of every release
• Review key pages every quarter
• Delete pages nobody needs

AI assistants can answer questions from your docs with links to the source page. This only works well if docs are accurate, current, and clearly written.

AI can translate documentation quickly. Have a fluent reviewer check important pages, especially safety and legal content.

• Test every step yourself
• Have an expert review technical details
• Check screenshots match the current product
• Never publish AI drafts unchecked

• Remove passwords, keys, and customer data from examples
• Use approved tools for internal documents
• Separate internal and public docs