Exact-phrase & regex matcher

Generic tell lists are a starting point, not a specification. After a while you notice your own repeats: a particular connective, a verb you reach for when a paragraph runs out of steam, a product name you keep capitalising three different ways. Those are the terms worth marking, and they are specific to you or to one client.

Literal strings catch exactly those. Regex catches the shapes a list cannot hold: next-level with a hyphen or without, a figure followed by percent or %, a phrase that only matters when it starts a sentence.

When the text can be edited while you read it, the thing you are judging changes under your cursor and every count becomes a moving target. Keeping the preview read-only means the match count means something, and it means the same thing a minute later.

The input box above the preview is separate on purpose. You paste or type there, then read the marked result. That is one extra step which buys a stable reading of your own draft.

None of these rules prove a machine wrote the text. The words on this list are ordinary English, and careful writers use them. The count is an editing signal, not a verdict, and the useful question is always whether the matched phrase is doing any work in its sentence.