Craft · 3 min read · · updated

The nine tells that make AI text obvious

Our published taxonomy sorts the habits that give a draft away into nine categories. Six of them are removals, which is the useful part: most of what marks a draft can simply be deleted.

GPGenPolishWritten and checked in-house

A draft written by a model rarely fails on facts. It fails on register. The sentences are grammatical, evenly weighted, and hedged in the same places, and after two paragraphs a reader who edits for a living can name the source without being told. That pattern is what this taxonomy sets out to name.

Six of the nine categories are deletions: stock openers, hedges, filler phrases, padding, over-signposting and the listicle reflex. Nothing has to be rewritten to fix them. The sentence that remains is the sentence the writer meant, one clause shorter.

One sentence, three removalsopener · hedge · filler

In today's fast-paced world, it is important to note that a stock opener is the cheapest tell to remove.

Three categories do change meaning: vague claims, clichés and repeated shapes. These are the ones we never apply silently. A vague claim is replaced with something specific, and something specific can be wrong, so the edit arrives with the phrase it replaced sitting next to it.

A tool that rewrites your argument without showing you is not an editor. It is a second author you did not hire.

The nine categories

#CategoryShare of changes
01
Stock openersScene-setting first clauses that carry no information.
18%
02
HedgesQualifiers aimed at the reader rather than the subject.
15%
03
Filler phrasesPreambles that announce a point instead of making it.
14%
04
Vague claimsAbstract benefits with no number, name or date in them.
12%
05
ClichésStock metaphors standing in for a plain verb.
11%
06
PaddingSeveral words doing one word of work.
10%
07
Repeated shapesThree sentences in a row built the same way.
8%
08
Listicle reflexA list where a sentence would do.
7%
09
Over-signpostingConnectives the reader does not need to follow the point.
5%

What the score is not

The human score is a reading of register against this list. It is not a detector, it does not identify a model, and it cannot tell you whether a passage will be flagged somewhere else. Text a person wrote in stock business phrasing scores badly, and that is the correct result: the phrasing is the problem either way.

The practical version of all this is short. Cut the opener. Cut the hedge. Replace one vague benefit with a number you can defend. Most drafts improve more from those three moves than from another round of prompting.

Sources

  1. The nine categories, with definitionsGenPolish ·
Run a draft through the taxonomy and see each of the nine categories marked in your own text.Polish a draft free