What it does
Slop Cop identifies AI-generated text patterns in your documents by analyzing vocabulary, sentence structure, and organizational patterns. It compares your writing against linguistic signatures found in outputs from ChatGPT, Claude, Gemini, and other AI models, helping you maintain authentic human voice in your work.
How it works
The tool operates through three analysis layers:
- Vocabulary analysis: Flags words and phrases AI models overuse
- Structure patterns: Identifies sentence arrangements typical of machine generation
- Model fingerprinting: Recognizes writing styles specific to known AI providers
After scanning your document, Slop Cop generates a human authenticity score and highlights problematic sections with explanations of why they triggered detection.
Use cases
Designers and content creators use Slop Cop to audit documentation, UX copy, research findings, and design briefs. It’s particularly valuable for maintaining authentic voice in customer-facing content, design systems documentation, and thought leadership pieces where authenticity matters.
Who benefits
Content designers ensuring UX microcopy maintains brand voice, UX researchers writing findings and synthesis documents, and design leaders reviewing team documentation all benefit from detecting unintended AI patterns in their work.