AI essay checker

This tool reads an essay and reports the writing patterns shared across AI chat tools generally, with each signal named and explained rather than compressed into a single score. It exists for a specific, pre-submission question: does my own argument carry the phrasing habits common to chatbot writing, and at what point in the essay, without attributing the writing to any one specific tool.

It's a server tool by necessity. The pattern model is too large to run in a browser, so the essay is sent to our AI server to be scored, and the result is returned to the page. You get 5 free checks in any rolling 24 hours, no account required.

The output is a list rather than a percentage. A checker that returns a bare number is asking for unearned trust; this one names each pattern (a scene-setting opener, a negation pivot, unusually even sentence length) so the reasoning is available for inspection rather than taken on faith.

One round trip to the server, then a reasoned result. Run it on a completed draft, not a working outline.

Step 1

Paste the essay as you intend to submit it, introduction through conclusion. A complete draft gives the model more structure to weigh.

Step 2

Run the check. The text is sent once to our AI server, scored against the patterns below, and nothing further is done with it afterward.

Step 3

Review each flagged pattern and its stated reasoning against your own memory of building the argument.

Training leaves a statistical fingerprint, and several habits recur across chat assistants regardless of which company built them, distinctive enough to describe precisely. No single item below is disqualifying alone; the read is a function of how many co-occur across a single argument.

A scene-setting opener

A first sentence broad enough to fit any topic, which is exactly why it reads as generated rather than specific.

The negation pivot

'It's not just X, it's Y', a construction reached for constantly by models and rarely repeated twice by a person.

Weightless hedges

A claim announced ('it's important to note that') rather than simply made.

Formal connectors doing heavy lifting

Moreover, furthermore, additionally, correct English stiffer than the argument actually requires.

A narrow, borrowed vocabulary

Delve, tapestry, realm, testament: unremarkable alone, a signature once clustered.

Suspiciously even sentence length

A run of sentences at nearly identical length, where a human argument naturally varies.

Phrasing analysis is one input. Whether the essay actually argues something is a structural question no model answers for you.

Thesis placement

The claim should be locatable in the introduction, not reconstructed from the conclusion.

Single-function paragraphs

Claim, evidence, analysis, and a link back to the thesis, in each paragraph.

Evidence integration

A citation needs a sentence explaining what it demonstrates, not just a reference beside it.

Counterargument handling

An argument that never acknowledges the obvious objection reads thinner than the evidence supports.

Conclusion function

A conclusion that restates the introduction has not synthesised anything; it should do more than summarise.

No to both, and stating that plainly is more useful than implying otherwise. This tool reports patterns shared across chat assistants generally; it does not attribute writing to one specific model. It is not affiliated with Turnitin, GPTZero, Copyleaks or any comparable detector, and it makes no claim about what one of those services would report on the same essay.

Institutions set their own policy on AI assistance, and that policy varies by course and sometimes by assignment. Read the one that applies to you before submitting anything. Treat a match here as grounds for a closer look at your own draft, never as a settled outcome.

Several categories of legitimate essay writing share these patterns for reasons unrelated to AI, and a serious checker should say so rather than bury it.

Second-language writers are disproportionately affected: formal connectors and explicit hedging are standard instruction in academic English courses, which is exactly the material that produces flags here. A rigid house style rewarding formal transitions and even sentence rhythm produces text that reads similarly for institutional reasons. Careful, well-organised writing that a course genuinely asked for is not evidence of anything on its own.

A flag from this tool, or any detector, is a signal rather than a finding, and should be treated that way in any review of your work.

Preserve your drafts

Outlines and marked-up revisions are the clearest evidence an essay was composed, not generated whole.

Retain version history

Docs, Word and most course platforms log revisions automatically. Leave it intact while a question is open.

Be prepared to discuss specific choices

Explaining why a paragraph or transition exists is materially harder to fabricate than the prose itself.

Ask for the named signal, not the label

A specific pattern (an opener cliche, sentence uniformity) can be examined on its own terms. An unexplained score cannot.

This checker is server-side by design: scoring an essay against these shared writing patterns requires a model too large to ship into a page, so each check is a single round trip rather than local computation.

That trip is metered: 5 free checks in any rolling 24-hour window, tracked without an account. There is no paid tier behind the limit; it reopens as the window rolls forward. For a full set of drafts across a term, spacing checks across the deadline period works better than exhausting the allowance on one essay. The per-run input is capped too, at about 12,000 characters, close to 2,000 words; an essay past that length needs to be checked one section at a time, with each section spending one of the five checks.