See which passages a detector reacts to, understand why, and put together a clear account of how you wrote it.
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Scores come from an established third-party detection service, not a homegrown scoring trick.
You get the passages that carry the signal, not one number with no explanation.
Revise flagged passages, rescan with the same detector, and compare what changed.
Every saved version records the result and changes without pretending a score proves authorship.
Detectors are useful signals and poor verdicts. Understanding where they misfire is the first step to answering an accusation calmly.
Every detector, including the one behind this page, returns a likelihood rather than a verdict. Vendors publish false-positive rates precisely because false positives happen.
Non-native English writing, plain functional prose, and heavily-edited drafts all get flagged more often. None of those mean anything was generated.
The less text a detector sees, the noisier the result. A conclusion drawn from a couple of paragraphs deserves very little weight.
Assemble process evidence instead of arguing about the score: timestamped drafts, version history, notes and outlines, and your editing trail. A documented process is far more persuasive than a competing detector result.
It helps, mainly so you can see which specific passages get flagged. Do not expect a clean result to settle anything on its own. Different detectors disagree, so treat yours as context for a conversation rather than a counter-verdict.
Detection keys on measurable patterns: sentence-length variance, stock phrasing, punctuation habits, and predictable structure. Clear, consistent, well-edited writing can match those patterns honestly. That is the core reason false positives exist.
No. This is a detector, not an evasion tool. It is here to show you what the signals are and to help you make an honest case for work you actually wrote.
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