anti-slop

To detect AI slop patterns, run the detect_slop.py script on your document to identify high-risk phrases, generic variables, and template-driven design patterns. It generates a report flagging buzzwords, meta-commentary, and hedging for review.

AI slop consists of patterns like high-risk phrases, unnecessary code comments, and template-driven visuals that reduce authenticity. You clean it by running detect_slop.py to identify issues, then applying safe changes automatically with clean_slop.py.

Yes, this supports code reviews and design critiques by detecting generic variable names, unnecessary comments, and template-driven layouts. It provides design-quality guidance to improve content-driven layouts and simplify logic.

The best way to remove buzzwords and hedging is to run detect_slop.py on your draft to generate a pattern report, then apply clean_slop.py to safely eliminate the flagged meta-commentary and improve content authenticity.

No external dependencies or components are required. You only need the Python environment to run the included detect_slop.py and clean_slop.py scripts for identifying and removing AI slop patterns.

Automated cleanup targets specific text patterns like buzzwords and generic code variables, but complex design-quality improvements require manual review. It supports both automated detection and manual cleanup workflows to ensure safe changes.