Finnish is morphologically complex — vowel harmony, six grammatical cases, free word order. AI models get it wrong in the same predictable ways every time.

  I built this after noticing that AI-generated Finnish triggers immediate pattern recognition in native speakers: overly formal register,
  SVO word order (Finnish allows much more variation), missing discourse particles (-han/-hän, -pa/-pä), and excessive nominalization.

  Before:
  "Tämä on erittäin merkittävä kehitysaskel, joka tulee vaikuttamaan laajasti alan tulevaisuuteen. On syytä huomata, että kyseinen
  innovaatio tarjoaa lukuisia mahdollisuuksia eri sidosryhmille."

  After:
  "Iso juttu alalle. En ole varma mihin tämä lopulta johtaa, mutta hyötyjiä on – varsinkin ne jotka ovat odottaneet tällaista jo vuosia."

  Finnish Humanizer is a pattern library — 26 identified patterns — packaged as a Claude Code skill and distributed for 15 platforms
  (Cursor, Copilot, Windsurf, ChatGPT custom instructions, etc.). It's not an additional model call. It's a checklist of linguistic tells
  you can apply mechanically.

  Patterns are grounded in Finnish linguistics research (Kotus — the Research Institute for the Languages of Finland).

  Would especially value feedback from Finnish speakers on pattern coverage and any false positives.