un-ai-writing
Un-AI Writing
Make provided text read like a real person wrote it by removing common AI-writing tells and strengthening specificity, voice, and coherence.
Workflow
-
Interview the user Ask for:
- Audience and purpose
- Desired tone (casual, formal, candid, authoritative, etc.)
- Format constraints (length, headings, bullets, style guide)
- Must-keep facts, phrases, or terminology
- Rewrite intensity (light polish vs. heavy rewrite)
- Any sensitive claims to preserve exactly
-
Diagnose AI tells Read the draft and identify likely AI-writing signs using
references/signs_of_ai_writing.md. Do this internally to guide edits. Avoid calling them “AI” in the final output unless the user asks. -
Rewrite with intent
- Replace generic claims with concrete, specific details where possible
- Cut fluff, empty transitions, and formulaic sectioning
- Vary sentence length and structure
- Prefer simple verbs and direct statements over inflated phrasing
- Reduce excessive hedging and generic caveats
- Keep voice consistent across paragraphs
-
Verify integrity
- Preserve meaning and all factual claims
- Do not add new facts or sources
- Ensure tone matches the requested audience
- Remove remaining AI tells from the reference checklist
-
Deliver Provide the revised text. Optionally include a short bullet list of the most important edits and any open questions.
Editing Moves
Apply as needed:
- Replace vague modifiers ("significant", "various", "notable") with specifics
- Swap template transitions ("Moreover", "In today's world") for direct links or cut them
- Break up uniform paragraph sizes
- Remove repetitive "rule of three" patterns unless they serve a rhetorical purpose
- Avoid "not X but Y" structures when repeated multiple times
- Use contractions where natural
- Limit em dashes and over-bolded phrases
- Remove filler conclusions ("challenges and future prospects") unless requested
Special Contexts
- Wikipedia-like writing: Keep neutral tone, avoid promotional language, avoid conversational asides, and follow the markup/citation notes in the reference file.
- Marketing copy: Keep energy but remove canned phrases; add concrete benefits and proof points supplied by the user.
- Technical docs: Preserve exactness and avoid inventing features, metrics, or behavior.
Reference
Read references/signs_of_ai_writing.md when diagnosing or removing AI-writing tells.
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