- name
- ai-paraphraser
- description
- AI paraphrasing and de-AI tool.
AI Paraphraser
Rewrite AI-generated content into natural, human writing style, bypassing AI detectors like GPTZero, Turnitin, Originality.ai, and others.
Use Cases
Use this skill when users mention intentions such as "rewrite," "paraphrase," "de-AI," "make text pass AI detection," "humanize," "eliminate AI traces," "polish text," "bypass AI detection," or "reduce article similarity."
Core Positioning
This is not a simple synonym replacement tool. It specifically targets the statistical features that AI detectors rely on for structural reshaping:
- Eliminate statistical patterns: Sentence length regularity, vocabulary distribution, and paragraph rhythm that AI detectors (GPTZero / Turnitin / Originality.ai / Copyleaks) depend on
- Preserve original meaning: Facts, arguments, data, and core viewpoints remain completely unchanged; only the expression changes
- Produce unpredictability: Each rewrite yields different results with no risk of duplicate content
Paraphrasing Modes
| Mode | Applicable Scenarios | Degree of Change |
|---|---|---|
| Light | Minor adjustments, suitable for users with already decent writing | Synonym replacement + minor word order adjustments |
| Medium | Most paraphrasing needs, default recommendation | Sentence restructuring + paragraph reorganization + introduction of natural rhythm |
| Aggressive | High-risk detection scenarios, heavily AI-flavored source text | Thorough sentence fragmentation + forced diversification + injection of human writing characteristics |
Paraphrasing Workflow
Step 1: Determine Mode
Select the paraphrasing mode based on user requirements and source text characteristics:
- User explicitly specifies mode → Execute as specified
- User does not specify → Assess the AI flavor concentration of the source text, start with Medium
- Source text extremely short (<50 words) → Suggest Light mode to avoid semantic distortion
- Source text extremely long (>2000 words) → Process in segments, 300-500 words per segment
Step 2: Analyze Source Text Structure
Quickly scan the source text before paraphrasing to identify:
- High-frequency AI sentence patterns:
In conclusion...Furthermore...It is worth noting...Moreover... - Excessively regular structure: Each sentence of similar length, each paragraph starting with the same connective word
- Non-informative filler words:
In today's rapidly evolving world...It goes without saying that... - Core information points: Facts, data, arguments (these must be preserved)
Step 3: Execute Paraphrasing
General Principles (applicable to all modes):
- Sentence variety: Alternate between active / passive / inverted / short / long sentences
- Vocabulary replacement: Replace non-keywords with synonyms; preserve core terms
- Break regular rhythm: Eliminate the pattern of each paragraph starting with a fixed connective
- Remove AI filler words: Delete meaningless opening and concluding sentences
- Reorganize word order: Rearrange information, not simply replace words
Light Mode Additional Rules:
- Only replace high-frequency AI vocabulary (furthermore → also / moreover → what's more)
- Make minimal word order adjustments
- Maintain original paragraph structure
Medium Mode Additional Rules:
- Comprehensively reorganize sentence structures; adjacent sentences should not repeat the same structure
- Order within paragraphs can be adjusted
- Introduce imperfections found in genuine human writing (occasional splitting of long compound sentences is acceptable)
- Naturally vary paragraph length
Aggressive Mode Additional Rules:
- Convert active sentences to passive, passive to active
- Break long sentences into short ones, then combine some short sentences
- Delete all obvious AI structural words
- Add colloquial expressions or slightly irregular phrasing where appropriate
- Reference the human writing characteristics checklist in
references/human-patterns.md
Step 4: Quality Check
After completing the paraphrase, quickly verify:
- [ ] Meaning unchanged: Are core arguments, facts, and data preserved?
- [ ] No obvious AI features: Do words like
FurthermoreIn conclusionMoreoverremain? - [ ] Smooth and natural: Does it read like a human wrote it? Are there any awkward parts?
- [ ] No duplicate content: Are there identifiable similarities with the source text?
Common AI Detection Trigger Words (Be Sure to Replace)
| Common AI Word | Suggested Replacement |
|---|---|
| Furthermore | Also, Besides, What's more |
| Moreover | In addition, On top of that |
| In conclusion | All in all, To sum up, Overall |
| It is worth noting that | Notably, Interestingly, In fact |
| First and foremost | Above all, Mainly |
| As mentioned earlier | As noted, Regarding this |
| In today's world | Currently, These days |
| It goes without saying | Of course, Naturally |
| There are several | A few / Some / Several |
| This essay will discuss | This piece explores / This looks at |
Segmented Paraphrasing Strategy (Long Texts)
When the source text exceeds 500 words, process in segments:
- Split by natural paragraphs (do not force cuts by word count)
- Paraphrase each segment independently while maintaining logical connections between segments
- Finally, read through the entire text to ensure overall fluency
- Check whether transitions between paragraphs are natural
See references/human-patterns.md for details.
Paraphrasing Quality Standards
Qualified Output:
- Semantic equivalence: Does not alter the core meaning of the source text
- Grammatically correct: No subject-verb disagreement, tense confusion, or other errors
- Natural and fluent: Reads as if written by an educated human
- No AI traces: Contains no high-frequency AI vocabulary or regular sentence patterns
Rewrite if Unqualified:
- Significant semantic deviation → Paraphrase again
- Detection risk remains high → Switch to a stronger mode and rewrite