Pull your version history
Google Docs (File → Version history) and Word both record your draft being written over hours or days. This is the single strongest piece of evidence you have, so retrieve it before anything else.
This happens more often than most students realise, and a detector score is not proof of anything. Here is why genuine human writing gets flagged, how to respond if you are accused, and how to find the specific sentences that set the detector off.
If you have been accused, the order of these steps matters. Evidence that you built the draft over time is far more persuasive than arguing about the score itself.
Google Docs (File → Version history) and Word both record your draft being written over hours or days. This is the single strongest piece of evidence you have, so retrieve it before anything else.
Find out which specific sentences read as machine-like. A single overall percentage tells you nothing useful and gives you nothing to discuss.
Offer to talk through your argument, sources, and choices. A student who wrote the work can explain why they structured it that way; that discussion is usually more convincing than any tool.
AI detectors do not identify authorship. They estimate how predictable a passage is—roughly, how often each word is the word a language model would have chosen next. Writing that is clear, tidy, and consistent tends to be predictable, which is exactly what a detector reads as machine-generated.
That produces an unfair result: the more carefully you edit and proofread, the more likely you are to be flagged. Students who write in a plain, organised style, and writers whose first language is not English and who lean on standard sentence patterns, are both disproportionately affected. Studies of detector accuracy have repeatedly documented false positives, and several universities have scaled back or dropped automated AI detection for this reason.
None of these mean you did anything wrong. They are simply habits that overlap with how models write, and most are things you were probably taught to do in academic writing.
Most detectors return one number for a whole document. If you are told your essay is "78% AI", you cannot tell whether that reflects one formulaic paragraph or the entire piece, and you have no way to respond to the accusation specifically.
A sentence-level view is more useful. Penlify scores each sentence separately and colour-codes them, so you can see that—for example—your introduction and conclusion read as formulaic while the analytical middle section reads as clearly human. That gives you something concrete to point at, and shows you which habits to vary in future drafts.
To be clear about what this does not do: no tool can guarantee a particular detector outcome, and no tool can prove authorship. What a sentence-level breakdown gives you is an explanation instead of a verdict.
Vary your sentence lengths deliberately. Let some contractions through where the register allows. Include specific evidence, named examples, and your own terminology rather than generic phrasing. Write in a document that keeps version history. None of this is about evading review—it is ordinary advice for writing that sounds like a person, and it happens to make a false positive less likely.