Why AI writing gets flagged — and how to fix it
AI text gets flagged for specific, nameable reasons. Here are the tells a detector reacts to, and how to write — or rewrite — around each one.
ext doesn't read as AI by magic. It reads as AI because of concrete, repeatable patterns — and once you can name them, you can write around them. Here are the ones detectors react to most.
1. The connective chain
Unedited model output loves to open sentences with Moreover, Furthermore, Additionally, In addition. A paragraph where three sentences in a row start with a formal connective is one of the loudest tells there is. The fix isn't to ban connectives — it's to vary them, and to let some sentences simply follow the last without a signpost at all. Good human writing trusts the reader to keep up.
2. Uniform sentence length
Models tend to produce sentences of strikingly even length — every one a comfortable 18 to 25 words. People don't write like that. We write a long, qualifying sentence and then a short one. Then a fragment, maybe. Read your draft aloud: if every sentence takes about the same breath, break the rhythm deliberately.
3. Confidence with no hedging
AI text often states everything at the same flat level of certainty. Real writers calibrate: they hedge claims they're less sure of ("this suggests", "in most cases", "arguably") and commit hard to the ones they'll defend. A passage with no hedging at all reads as generated — not because hedging is human, but because uniform confidence is machine.
4. The empty intensifier
Crucial, vital, significant, comprehensive, robust, seamless — applied to everything, evidence for nothing. Models reach for these because they're high-probability words. Cut them, or replace each one with the specific fact that earns it. "A comprehensive solution" tells the reader nothing; "handles 14 currencies and offline mode" tells them something.
5. The tidy three-part list
Models love triads — three reasons, three benefits, three perfectly parallel bullet points. Real arguments are lumpier: two points, or four, of uneven weight. If every list in your draft has exactly three parallel items, that symmetry itself is a tell.
6. The lesson-learned ending
AI-drafted essays and statements often close by zooming out to a tidy moral — "this experience taught me the value of perseverance". It's a structural habit, and detectors and human readers both notice it. End the way a person actually would: on a specific thought, not a greeting-card summary.
The goal isn't to trick a detector. It's to write the way a thoughtful person writes — varied, specific, calibrated. Do that and the score follows.
Fixing it without losing your meaning
You can fix every tell above by hand, and reading your draft aloud catches most of them. If you want help, that's exactly what snizzly's humanizer does — it rewrites for these specific patterns while preserving your argument, your facts and your citations, and shows you the AI score drop on every pass so you can see it working. Either way, the target is the same: writing that reads like you, because the thinking is yours.
That was the last lesson in The Detection Primer.
What's the most common AI writing tell?+
Connective chains — three sentences in a row opening with Moreover / Furthermore / Additionally. Varying connectives and dropping some entirely is the single highest-impact fix.
Can I fix flagged text without a tool?+
Yes. Reading aloud catches uniform rhythm; consciously varying sentence length, cutting empty intensifiers and hedging uncertain claims handles most of it.
Does snizzly's humanizer keep my citations?+
Yes — citations, quotations and your argument are preserved. You can also freeze specific terms so the rewrite never touches them.