LLMs for technical editing: The good, the bad, and the ugly
6 hours ago
- #AI editing
- #technical writing
- #human-AI collaboration
- AI is inefficient for completely replacing human editors if brand connection and content quality matter.
- Claude performed well in identifying structural, logical, and consistency errors but poorly with typos and grammar.
- AI editing risks losing authorial voice, intent, and style, potentially making content generic.
- Both models gave contradictory advice and invented or misdiagnosed errors, requiring human adjudication.
- A hybrid approach is recommended: AI for triage, logic checks, and consistency; humans for line edits, rewrites, and final proofreading.