Developer releases K-Humanizer, open-source tool to fix AI-generated Korean text

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A developer has released K-Humanizer, a free, open-source Agent Skill designed to make AI-generated Korean text sound more natural to native readers. The tool addresses common issues in LLM output such as English-like word order, excessive noun phrases, unnecessary passive voice, and mismatched formality. It is compatible with Cursor, Claude, and Codex, and preserves facts, numbers, names, and domain-specific terminology during rewrites. The skill adapts to different writing contexts including resumes, emails, chat messages, and product copy, applying rules conditionally rather than uniformly. The MIT-licensed repository includes 200 synthetic examples across multiple domains, with a manual naturalness evaluation planned for a future release.

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