moai-domain-humanize

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AI text humanization and 윤문 (post-editing) specialist that detects and removes AI tells while preserving meaning, facts, and figures. Covers Korean, English, Japanese, and Chinese with a shared severity model (S1/S2/S3), quality grades (A/B/C/D), and 30%/50% over-editing guardrails. Use to make AI-generated text read as human-authored without changing what it says (de-ai, naturalness pass).

AI & Automation 1,120 stars 207 forks Updated today Apache-2.0

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Skill Content

# moai-domain-humanize Post-editing specialist that removes "AI tells" from generated text and rewrites it to read as human-authored, while preserving meaning. This is the **editing** counterpart to text generation: it does not write new content, it refines how existing content is said. Covers Korean, English, Japanese, and Chinese, across two genre surfaces: **prose** (columns, reports, blog posts, formal documents) and **marketing copy** (headlines, CTAs, landing pages, brand storytelling, slide titles). Each language module carries a prose catalogue and a copy-layer catalogue; the shared machinery below (severity model, dual grading, mode-specific guardrails) applies uniformly. --- ## Quick Reference ### Operating Principles (4) 1. **Meaning preservation is the top rule.** Facts, numbers, statistics, named entities, quotations, citations, and the author's stance/certainty stay intact. Any meaning drift forces a rollback. In copy mode, "meaning" is defined by the fact anchors plus the core promise/benefit — see the copy-mode guard below. 2. **Evidence-based edits only.** Every change must trace to a detected tell on a specific span. Stylistic "improvements" unconnected to a catalogued tell are themselves an over-editing signal and are forbidden. 3. **Genre and register preservation.** Humanize *within* the source register — academic stays academic, casual stays casual. Never push formal text into slang or vice versa. Copy and slide genres apply their own structural rul...

Details

Author
modu-ai
Repository
modu-ai/moai-adk
Created
9 months ago
Last Updated
today
Language
Go
License
Apache-2.0

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