Breaking the AI Slop: Building a Real-time Content Detector

In the age of generative AI, developer communities and blogging platforms are increasingly becoming filled with "AI slop", content that is technically correct but lacks soul, personality, and genuine human insight. Today, we're diving into the technical architecture of SlopSentry , a Chrome extension designed to help users identify AI-generated noise on Dev.to, Hashnode, and Medium. The Problem: The Infinite Scroll of Generic Content LLMs are great at writing, but they have distinct patterns: Over-reliance on transition words ("Furthermore", "In conclusion"). Perfect but hollow sentence structures. A lack of specific, messy human anecdotes. SlopSentry uses these very LLMs to detect their own kind. Technical Architecture 1. The DOM Observer (Content Script) The biggest challenge in social media extensions is handling dynamic content. Platforms like X and LinkedIn use infinite scrolling. We implemented a MutationObserver that watches for new nodes being added to the DOM. // Simplified ob