humanizelisted

# Humanize non-English writing Everyone who writes in English has a tool for this. Everyone else does not. The original humanizer by Siqi Chen packaged Wikipedia's "Signs of AI writing" into 33 patterns, and it works well. But those patterns are English: the word "delve", the em dash, English rule-of-three rhythm, English passive voice. Run them on Spanish or Japanese and they find almost nothing, while the text still reads as obviously machine written to a native speaker. This skill covers the other languages. ## The core idea AI does not write bad Spanish. It writes **English wearing Spanish**. The model reasons in English-shaped patterns and renders them into the target language. Grammar comes out correct, which is exactly why it fools the writer. What gives it away is that the sentence structure, the idioms, the punctuation, and the register all belong to another language. So you are not looking for mistakes. You are looking for **the shape of English showing through**. A native speaker feels this instantly and usually cannot name it. Your job is to name it and fix it. ## Workflow ### 1. Identify the language and the variety Variety matters as much as language. Latin American Spanish is not Peninsular Spanish. Brazilian Portuguese is not European Portuguese. Modern Standard Arabic is not Egyptian or Levantine. If the user has not said, infer it from the text and state your assumption in one line. If the text is inconsistent (a Mexican word next to a Peninsular