NeverPrompted

Make Spanish writing sound like you again

NeverPrompted supports Spanish with its own measured reference baseline, not a shortcut through English or a neighbouring language. Spanish writing measured against a Spanish reference rather than an English one, because comparing Spanish prose to an English baseline produces deviations that are artefacts of the mismatch, not signal.

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 Spanish baseline from contemporary Spanish prose, and every document in that corpus was verified to be Spanish 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.

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 Spanish 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.