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What it measures instead of guessing at authorship

The core number is how much sentence length swings across a passage — the standard deviation of words per sentence. Prose that alternates between short and long holds attention; prose where every sentence lands within a word or two of the last reads flat no matter how well any individual sentence is built. Around that central measurement, the [msm_tool slug="writing-variance"] separately flags sentences that open the same way, transitions repeated past the point of usefulness, and a specific list of phrases — delve into, leverage, seamlessly, robust, cutting-edge, a testament to, a game changer, and others in the same worn family — that show up so often they have stopped doing any work.

Why every finding points at a place, not a percentage

Nothing here produces a single score, because a number alone tells you nothing you can act on. The output instead reads like sentence four opens the same way as five and six, or this phrase appears six times, which is an edit rather than a verdict. The longest sentences in the passage are listed last on purpose, because splitting one is usually the single change that improves the rhythm of everything around it.

Deliberately not an AI detector

This tool does not report a probability that something was AI-written, and that is a decision rather than a missing feature. Detectors that attempt it do not work reliably — OpenAI withdrew its own for poor accuracy — and they misfire hardest against people writing English as a second language, whose sentence patterns are often more regular for reasons that have nothing to do with authorship. A percentage invents a certainty nobody actually has, and someone wrongly accused on the strength of one has no way to disprove it.

Uniform writing is worse writing regardless of who or what produced it, which is the reasoning behind measuring shape instead of guessing at origin. Genuinely varied prose does read as less machine-generated, but that happens as a side effect of being better writing, not because variation was added as a trick to defeat a detector — and padding in synonyms or invisible characters to fool one would not pass this analysis anyway, since it measures rhythm and repetition rather than word choice alone.

What counts as varied, and what counts as flat

As a rough guide, deviation above roughly nine words reads as strongly varied, and under about three reads as flat. Both are guides rather than targets: technical writing is legitimately more uniform than an essay, and rewriting a passage to hit a specific deviation figure is the same mistake as padding an article to hit a word count.

Why it asks for more than a sentence or two

Variation needs several sentences to vary across. Three is the minimum accepted, and a few paragraphs produce a figure worth trusting — short of that, one unusually long or short sentence distorts the whole measurement on its own.

Nothing leaves the browser

The analysis runs entirely client-side, so pasting an unpublished draft here for a check does not send it, or any part of it, anywhere.