How to Avoid AI Detection: Fix Text That Reads Machine-Made

How to avoid AI detection starts with one move: find the sentences that read machine-made and fix those, not the whole document. Detectors score probability, not authorship. You are not trying to beat a verdict — you are trying to make your own draft sound like you again.

Key takeaways

• Detector output is a probability estimate, not proof of authorship. A high score is a signal to edit, not a confession.
• Flags cluster. Most documents have a handful of lines carrying the signal; the rest is fine.
• The fix is structural, not cosmetic. Swap a synonym and the score barely moves; break the rhythm and it does.
• Our own measurement on 2026-09-19 found that 17 of 46 hand-written DeAIze guides were flagged at a 30% threshold despite being written by people.
• The same measurement found AI-tell frequency at 3 per 100 words in the human sample versus 1 per 100 words in unedited model output.
• Edit the flagged sentences, keep your citations and data untouched, then re-score and compare.

Why does my own writing get flagged as AI?

Because detectors read surface statistics, not intent. Two signals dominate: perplexity (how predictable each word is given the words before it) and burstiness (how much sentence length and structure vary across a passage). Human writing is lumpy — a long clause, then a four-word sentence, then a fragment. Model output tends to be smooth, evenly paced, and predictable.

That smoothness is exactly what happens when you write in a second language and reach for the safest phrasing. It also happens when you write under deadline, or when you tidy every sentence into the same shape. You can be entirely original and still trip the signal.

We ran our own detector over two corpora on 2026-09-19: 46 hand-written DeAIze guides, and 12 unedited model passages generated from fixed prompts. The human sample had a mean AI score of 27% and a median of 25%, with a range of 0 to 55%. At a 30% flag threshold, 17 of those 46 human-written guides were flagged. If you have been accused of something you did not do, that number is the honest context: false positives are not rare, and they are not personal.

The 12 unedited model passages scored a mean of 35% and a median of 34%, range 25 to 49%. That is the part most people miss. Unedited model output did not score near 100 — it scored in the same band as human writing, just with a tighter spread. Detection is a judgement call about style, and style can be edited.

Which sentences carry the signal?

Not all of them. This is the single most useful thing to understand before you start rewriting. If you treat the whole document as suspect, you will sand off your own voice in the process.

Run the text through a detector that reports at sentence level rather than one number for the page. DeAIze does this: the document gets a score and each sentence is highlighted by AI probability. You can find the same information in other tools — a document-level score alone will not tell you where to aim.

If you want to see which lines are actually carrying the flag before you touch a word, run the draft through the AI detector first. Editing blind is how good paragraphs get ruined.

Once you have the highlights, sort them into three buckets:

Bucket	What it looks like	What to do
High-probability lines	Generic transitions, setup sentences, summaries of what you just said	Rewrite or delete
Borderline lines	Correct but flat; uniform length; no specifics	Add a concrete detail or merge with a neighbour
Clean lines	Your own phrasing, data, quotes, citations	Leave alone

Most flagged documents have a small number of high-probability lines doing most of the work. Delete the setup sentence that announces what you are about to say, and the paragraph often clears.

What actually changes the score?

Paraphrasing does not. If you swap “utilise” for “use” and leave the sentence shape intact, the perplexity and burstiness profile is nearly unchanged, and so is the score. Detectors are not matching vocabulary against a list.

What moves the needle:

1. Break the uniform rhythm. If four consecutive sentences run 18 to 22 words, cut one to six words. Add a fragment. Let one sentence run long.
2. Replace abstractions with specifics. “Significant improvements were observed” becomes “the second batch finished in half the time.” Numbers, names and objects are less predictable than category words.
3. Cut the throat-clearing. Openers like “It is worth considering that” and closing lines like “In summary, these findings suggest” are the most predictable text in any document. They are also the least useful.
4. Kill the tricolon habit. Three parallel items in a row, repeated across a document, is a strong stylistic tell. Use two, or four, or one.
5. Vary the sentence openers. If several sentences in a row begin with a transition word, the pattern is visible to a reader and to a model.

Our measurement found AI-tell frequency at 3 per 100 words in the human sample versus 1 per 100 words in the unedited model output. That is worth sitting with. The human writers used more of the stock phrases people associate with machine writing, not fewer. The tells you were taught to look for are not the same as the signals a detector scores.

A worked example

Here is an illustration, not a real document.

Before:

It is important to consider the various factors that contribute to successful project outcomes. Effective communication, clear goal setting, and consistent monitoring all play a significant role in ensuring that teams remain aligned throughout the process.

Two sentences, 20 and 24 words, both built from abstract nouns, both with a three-item list, and the first one is pure throat-clearing. It reads machine-made even though a person could have typed it.

After:

Projects fail for boring reasons. The brief was vague, nobody checked in for three weeks, and the deadline moved twice without anyone saying so out loud.

Same idea. Four sentences, lengths of 5, 12, 15 and 14. Concrete nouns. One list, not two. The meaning survived, and the rhythm is now lumpy in the way human writing usually is.

That is the whole method. You are not hiding anything. You are removing the scaffolding that made your draft sound like it was assembled rather than written.

What if I used AI to draft part of this?

Then say so, where the rules require it, and fix the draft anyway. Editing an AI-assisted draft so it sounds like you is not the same as passing off someone else’s work, and the two should not be confused.

The line that matters: the ideas, data and conclusions have to be yours. If a model produced your argument, rewriting the sentences does not make the argument yours. If you produced the argument and a model helped you phrase it, editing the phrasing is exactly the right move. The disclosure label guide covers what to say and when, and the academic integrity policy guide covers how universities tend to draw that line.

Be honest with yourself about which situation you are in. It changes what you should do next.

Should I just run it through a humanizer?

Not blindly, and not as a first step. A humanizer that rewrites everything will flatten your citations, your terminology and your voice along with the flagged lines. Then you have a new problem.

The approach that holds up is a closed loop: score the text, rewrite only the flagged sentences, keep a rewrite only when semantic similarity says the meaning survived, then re-score and report before and after. That is how DeAIze’s humanizer is built, and it is the reason the tool reports an average AI-score reduction of 60%+ after humanizing, with a best case of 71%. Those are the product’s own predicted scores, not an official verdict from any third-party detector. On the example paragraph used on the site, a 92% AI score becomes 4%.

Treat those as editing feedback, not a certificate. A detector on a different day, or a different detector, can read the same paragraph differently. The comparison guide walks through what each tool actually reports, which is more useful than chasing a single number.

How do I check the fix without wrecking the meaning?

Re-score, then read it aloud.

1. Run the edited text back through the detector and compare before and after. If the flagged lines dropped and the clean lines stayed clean, you are done.
2. Read the edited sentences aloud. Anything that now sounds like a different person wrote it goes back.
3. Check that no claim, figure, citation or technical term changed. If a rewrite altered a number, revert it.
4. Check the connective tissue. Rewriting a sentence often breaks the sentence after it. Read the paragraph, not the line.

If you are working in a Word document, do not rebuild the file by hand. DeAIze accepts .txt, .docx and .pdf uploads, and rewriting a Word document preserves fonts, styles and tables — so you can edit the prose without redoing the layout. The Word workflow guide covers the safe sequence.

What about non-native English writers?

This is where the honest answer matters most. If you write in a second language, you are more likely to reach for safe, high-frequency phrasing, and safe phrasing is predictable phrasing. That is a fluency pattern, not a confession.

The practical defence is documentation, not just editing. Keep your drafts, your notes, your version history and any source material you worked from. If a flag turns into a conversation, the work behind the text is what settles it. The non-native writer guide goes through what to keep and how to present it.

Editing still helps. Fix the rhythm, cut the generic openers, and add the specific details only you could know. But do not assume the flag means you did something wrong.

Ready to see which sentences read machine-made?

Stop guessing which lines are the problem. Run your draft through the detector, get a per-sentence breakdown, and edit only what is actually carrying the signal.

• Start with the AI detector to see your sentence-level scores before you change anything.
• Rewrite flagged lines in the draft editor, where you keep the rewrite only when the meaning survives.
• Check pricing if you are working at volume — pay-as-you-go, credits never expire, no subscription.
• Sign up at register for 200 free words, no credit card.

Your ideas are yours. The goal is to make the page say so.