AI Technical-Doc Proofreader (Claude Opus)

Problem: Proofreading 500-page technical manuals by hand is slow and misses image-rendered defects.

A Claude Code proofreader for large technical publications. It walks a PDF page by page applying brand and term rules, hyphenation, and callout-vs-label checks, using Opus vision to catch glyph-path and image-rendered defects the text layer misses, and auto-chunks PDFs over 32 MB. No API keys and no Python pipeline to maintain: tech authors run it from Claude Code and get a reviewer-ready findings table. A documented model comparison locks the tool to Opus after Sonnet returned zero findings where Opus caught real defects.