Guide1 min readUpdated August 27, 2026
How to review AI text before publishing
Short answer
Review AI text by looking for generic phrases, missing evidence, unclear audience, weak firsthand signal, and risky claims. The useful question is not whether a detector thinks the text is AI-written, but whether a reader can trust and use it.
Avoid detector theater
AI detector scores can be misleading. A practical publishing review should focus on visible content quality: specificity, evidence, originality, audience fit, and human editing.
- Remove boilerplateDelete assistant disclaimers, generic introductions, and vague phrases that do not help the reader.
- Add evidenceUse sources, dates, examples, test notes, or firsthand observations where the draft makes factual claims.
- Check the audienceA draft for creators, engineers, students, or buyers should make different choices.
- Turn claims into tasksUse a checklist so a human can verify the risky parts before publishing.
Try it: AI Content ReviewReview generic phrasing, repetition, source gaps, audience focus, and firsthand signals locally.Open tool
Not an AI detectorA text-signals checker can support editing, but it cannot prove authorship. Treat the result as an editorial checklist.