AI for Technical Writer / Documentation Specialist

of 5— Export your documentation as text

What you'll accomplish

By the end of this guide, you'll be able to feed Claude your documentation library and product changelog and get back a prioritized list of: what needs updating, what's newly undocumented, and what covers deprecated features. A 4-hour manual audit becomes a 30-minute AI-assisted process.

What you'll need

Claude.ai account (Claude Pro strongly recommended — this requires large context)
Documentation export (Confluence pages as text, or exported HTML, or your docs sitemap)
Product changelog for the period you want to audit (JIRA release notes, GitHub releases, or hand-written changelog)
Time needed: 45-60 minutes first time; 20-30 minutes for recurring audits
Cost: Claude Pro ($20/month) — needed for large context window to handle many pages at once

How-To Guide: Documentation Audit Against Product Changelog

Step 1: Export your documentation as text

You need documentation content as text, not as screenshots or PDFs with complex formatting.

From Confluence:

Open a Confluence space
Select all pages you want to audit (or a specific section)
Export as HTML: Space Settings → Export Space → HTML
Open exported files and copy the text content

From a docs-as-code system:

Run find docs/ -name "*.md" -exec cat {} \; > all-docs.txt to concatenate all Markdown files
You now have all documentation as a single text file

Alternatively: List all page titles and URLs — even without full content, Claude can analyze topic coverage.

What you should see: A text file or document with your documentation content that you can copy and paste. Troubleshooting: For very large doc sets, do the audit in sections — one product area at a time.