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Large Language ModelsAI Coding AssistantsZenn AI/MLPublished: Oct 4, 2026, 10:00 JST

chaffjs + LLM: 5 周 to humanize AI-written Japanese

chaffjs + LLM: 5 周 to humanize AI-written Japanese

3 Key Points

  1. What happened

    The author ran an AI-generated technical post through chaffjs and an LLM for 5 周 of edits, cutting 98 lines and adding 90 in pass 1 alone, then trimming fewer.

  2. Why it matters

    Because chaffjs only flags machine-checkable issues and never rewrites text itself, pairing it with an LLM lets each pass catch the other's blind spots, the author argues.

  3. What to watch

    The author says a natural stopping point is when chaffjs reports zero issues and an extra LLM pass returns no major discomfort, but the exact boundary is only suggested.

WHO IT HITSWriters and editors publishing AI-drafted Japanese content—especially technical bloggers and documentation teams—get a concrete, tool-driven loop for catching style problems an LLM alone tends to miss.

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FAQ
Does chaffjs rewrite the article itself?
No. chaffjs does not change a single character of the text. It only points out issues, explains the reason, and stops; rewriting is left to a human or an LLM.
How many passes did the author need?
Five passes. The first made the largest change (+98 / -90 lines), and later passes shrank to +6 / -6, showing a natural decay curve.
When should you stop refining?
The author suggests stopping when chaffjs reports zero issues and an additional LLM pass returns no major discomfort.

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