
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.
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.
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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