Why false positives happen
Predictable structure, concise technical prose, limited samples, language background, and detector changes can influence a classification.
Responsible detector guidance
A detector false positive occurs when human-authored writing is classified as likely AI-generated. The appropriate response is evidence, context, and human review—not an assumption that one score proves authorship.
Humanize
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01 · Process
Learn why human writing can be flagged by AI detectors, how to document authorship, and how to respond without relying on a single automated score.
Predictable structure, concise technical prose, limited samples, language background, and detector changes can influence a classification.
Keep notes, outlines, source links, revision history, and earlier drafts. These materials provide stronger authorship context than a single score.
Revise for accuracy, specificity, voice, and readability. No editing tool can promise a particular result across changing third-party detectors.
02 · rewrite modes
Fast, natural refinement
1× credits3,000 words per 3,000 creditsBalanced language refinement
1.5× credits2,000 words per 3,000 creditsDeeper structural refinement
2× credits1,500 words per 3,000 creditsMaximum transformation depth
3× credits1,000 words per 3,000 credits03 · Example
Use AI-assisted editing in accordance with applicable workplace, publisher, and educational policies. Review every result for accuracy and authorship requirements.
BeforeYour assignment was flagged as AI-generated. The score proves that you did not write it.
HumanizedThe detector flagged this submission, but the result is not conclusive. Please share relevant notes, drafts, sources, or revision history so the work can receive a documented human review.
04 · Pricing
Start free, then choose a deeper rewrite modes when the work demands it.
Detector results vary; no third-party score or classification is guaranteed.
All prices in USD · Credits reset monthly
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05 · FAQ
It is a classification in which human-authored writing is identified as likely AI-generated.
Useful evidence can include outlines, notes, source links, earlier drafts, version history, research records, and an explanation of the writing process.
Factors may include short samples, predictable structure, technical prose, edited translations, language background, genre conventions, and changes to the detector.
Use a transparent policy, avoid treating one score as proof, preserve context, provide human review, and offer a meaningful way to respond.
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