NeverPrompted

Make English writing sound like you again

NeverPrompted supports English with its own measured reference baseline, not a shortcut through English or a neighbouring language. English has the largest reference corpus of the five, simply because it is where most contemporary writing samples come from.

Why a borrowed baseline gives you the wrong answer

Telling you how AI-flavoured your writing reads means comparing it to real writing in the same language. Comparing it to the wrong language does not give you a smaller signal, it gives you a meaningless one dressed up as a real measurement.

NeverPrompted measured its English baseline from contemporary English prose, and every document in that corpus was verified to be English before it was used.

The rewrite itself works the same way: it targets the phrasing habits that read as AI-generated in that specific language, not a translated list of English ones.

If the language cannot be worked out

When the engine cannot confidently tell what language a document is in, it says so rather than guessing and quietly measuring against the nearest match. A wrong-language result looks exactly like a right one until you notice everything you write scores the same, which is the sign something upstream is broken.

You can also set the language explicitly before running the check, if you know it and the engine is unsure.

What the result can and cannot tell you

A result for English tells you how this draft compares with the English reference used by the engine. It does not grade your fluency, decide whether the writing is good, or identify who wrote it. A formal register, specialist subject or careful second-language edit can all sit away from the reference for perfectly ordinary reasons.

Use the highlighted passages as editing prompts, not verdicts. Keep a change when it makes the sentence clearer or more like something you would say; ignore it when it changes your meaning, your terminology or a deliberate choice of tone. The point is control over the draft, not a number to chase.

The rewrite is equally explicit about its limits. It can change stock phrasing and rhythm in English while preserving the facts you supplied, but it cannot prove authorship or guarantee a result against a vendor's private detector. You see the before-and-after text and decide what stays.

That distinction matters when a draft is formal or translated. A lower distance from the reference is not automatically better, and a higher distance is not a failure. The useful question is whether a suggested change improves this sentence for its intended reader.

Keep the draft you started with, review each proposed change, and treat the measurement as one piece of editing evidence. Your judgement about meaning, tone and context remains the final check.

Wherever this page describes a result: a detected mark is not proof of authorship, and an absent mark is not proof of human authorship. NeverPrompted's on-device rewrite can reduce detectable evidence but cannot guarantee defeating a vendor's undisclosed watermark, on any tier.

Answers, in full

Questions people actually ask

Does the rewrite work as well in English as in English?
It targets whatever the measured baseline for that language actually shows, so it is only as good as that baseline, and the English one is currently the largest. Every result states the size and retrieval date of the corpus behind it, so you are never guessing how much to trust it.
What happens with a language that is not supported yet?
It is reported as unsupported rather than quietly analysed against a substitute. Adding a language means measuring a real corpus for it first, not adding a name to a dropdown.