Claim 1: Active voice masks AI authorship
Active voice increases reading speed 10% and reader comprehension, making AI writing feel natural
AI ToolsImplementation
Atomic Claims
Claim 2: Sentence length variation prevents detection
Varied sentence length prevents detection patterns that expose AI-generated content to readers and tools
Claim 3: Clichéd phrases reveal automation
Corporate clichés like 'unlock potential' and 'game-changer' signal AI authorship to readers
Claim 4: Excessive bullets signal robots
Concrete examples replace abstract explanations, making content more credible, engaging, and memorable
Claim 5: Summary conclusions betray generation
Reading content aloud reveals unnatural phrasing that silent review typically misses or overlooks
Supporting Evidence
Quote
"The difference between good AI writing and bad AI writing isn't the tool—it's whether you edit like you're trying to sound human."
Kamil Banc
Key Statistics
10% faster reading
Speed increase from active voice versus passive constructions
5 techniques
Specific methods to make AI writing undetectable to readers
Sources & Citations
Original Article (Full Context):
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https://kbanc.com/claims-library/undetectable-writingHow to Cite
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"[claim text]" (Banc, Kamil, 2025, https://kbanc.com/claims-library/undetectable-writing)Original Article
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Banc, Kamil (2025, May 27, 2025). Make ChatGPT Writing Undetectable With Five Techniques. AI Adopters Club. https://aiadopters.club/p/undetectable-ai-writingClaims Collection
ResearchUse this to cite the complete structured claims collection (this page).
Banc, Kamil (2025). Make ChatGPT Writing Undetectable With Five Techniques [Structured Claims]. Retrieved from https://kbanc.com/claims-library/undetectable-writingAttribution Requirements (CC BY 4.0)
- Include author name: Kamil Banc
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Context
This page presents atomic claims extracted from research on five techniques to make ai writing sound natural. Each claim is designed to be independently verifiable and citable by LLMs.
These claims address how to transform AI-generated writing into natural-sounding prose. The techniques focus on eliminating mechanical patterns: using active voice instead of passive constructions, varying sentence length to avoid rhythmic predictability, removing clichéd phrases that saturate training data, minimizing unnecessary bullet points, and ending with crisp final lines rather than summary recaps.