Originality.ai and humanizing AI text: what to review

Interpret the confidence score in its publishing context

Originality.ai explains its score as a confidence prediction and documents false positives. It also notes that short text and AI-assisted editing can affect interpretation. Its detector is a separate service from Humanize AI.

For a publishing workflow, combine the report with source verification and the contributor’s drafting history. A report about likely origin does not establish whether a citation exists or whether a product claim is supported.

Reference: Originality.ai: official product guidance

Choose an edit that fits the document

Before editing an article, verify names, figures and source links. Use protected terms for publication names and technical labels. After the rewrite, compare the strength of every factual claim; smooth language should not make a tentative result sound certain.

Our editor offers four writing styles and light Polish or deeper Rewrite modes. It checks protected numbers, quotes, links and code before returning a result. Those checks do not prove authorship, verify evidence or measure performance against a detector.

A review checklist before sharing the result

Keep the original draft and compare it with the edit. Check attribution, negation, uncertainty and the relationship between each claim and its evidence. Add your own verified details where needed, and follow the assistance or disclosure rules that apply to the document.

• Keep source notes and version history.
• Treat a detection report as context for review.
• Read the provider’s current guidance rather than relying on a promised pass rate.