The task
What the AI style analyzer does with a draft
You paste a draft. It reads the draft and writes back what it noticed: the register the writing sits in, how the sentences are put together, which shapes and words keep repeating, and where the rhythm goes flat. The output is prose, not a dashboard.
It runs on our AI server, which means your draft is transmitted. The allowance is 5 free runs per rolling 24 hours, 12,000 characters each, with no account required.
Expect this
What you get back, and what you do not
Most tools in this category answer with numbers. This one answers with sentences. Here is the split, so nothing is a surprise after you spend a run.
- You get
- A written read on tone, sentence construction, repetition, hedging and rhythm, with specific passages named.
- You do not get
- A Flesch-Kincaid, Gunning Fog, SMOG, Coleman-Liau or Automated Readability index. None of them is computed here.
- You do not get
- Lexical density, a parts-of-speech breakdown, a punctuation frequency table or a passive-voice percentage.
- You do not get
- A sentiment score, or a claim about which famous author your writing resembles. No corpus of authors exists here to compare against.
The task
How to run the AI style analyzer in three steps
Give it a few hundred words rather than one sentence. Patterns need room to show.
- Step 1
- Paste the draft. Runs accept 1 to 12,000 characters.
- Step 2
- Optionally name the audience or the constraint in the instruction field, then run it. The text goes to our AI server.
- Step 3
- Work through the report against the draft, keeping what you agree with. Remaining runs are displayed after each one.
Coverage
The style dimensions a read covers
Ask about any of these and the report will normally have something to say.
- Register
- Formal, plain, conversational or promotional, and whether the draft holds one or drifts between them.
- Sentence construction
- Verb position, clause stacking, and whether sentence length varies or sits at one value throughout.
- Repetition
- Recurring openers, connectives and sentence shapes. Usually the single most actionable finding.
- Hedging and filler
- Phrases that announce information rather than delivering it, and qualifiers that dissolve a claim.
- Paragraph rhythm
- Whether paragraphs build toward something or simply enumerate. Flat rhythm is what readers call boring.
The cause
Why AI sentences fall into the same shapes
Likely words are words that fit anywhere, and a model selecting likely words repeatedly converges on a narrow set of openers, connectives and paragraph shapes. Claim, elaboration, restatement, over and over.
Nothing in the output is wrong. That is the difficulty. There is no error to correct, only a sameness that a reader registers before they can name it.
It also compounds across a piece. One paragraph built on claim, elaboration and restatement reads as organised. Eight of them in a row reads as a template, and by the fourth the reader has stopped expecting a surprise. The analyzer is looking for exactly that: the point where variation stops.
Why it matters
What flat AI style actually costs a team
Published under a brand name, uniform writing reads as generic, and generic gets skimmed. Three tells arrive first: every sentence at the same length, an opener that would fit any article, and connectives carrying weight an argument should be carrying.
The cost is not a detector verdict. It is a reader deciding within two paragraphs that the page was assembled rather than written, and leaving.
The fixes the report points at are usually small. Rewrite the first four words of each flagged paragraph. Cut one sentence per paragraph down to five words so the contrast does some work. Delete moreover, furthermore and additionally outright, and if the sentences stop following each other afterwards, the argument was the thing that needed attention rather than the joinery.
Straight answer
Does a style flag prove AI wrote the text?
No. These are signals, not evidence. Formulaic human writing hits the same patterns constantly, and careful AI writing misses them.
The analyzer is instructed never to claim certainty about authorship, and we make no prediction about what a third-party detector would report. Treat the read as an editing prompt.
In practice
Who uses the AI style analyzer, and when
Editors opening a draft they did not write and needing a fast answer to why it reads thin. Content teams checking a new writer against the voice of the rest of the site.
Students reviewing their own work before submission, under their institution's own rules on AI tools. Anyone who has read a draft so often they can no longer hear it.