Easy-Jev is a demo that allows users to change inputs and see real-time classification changes. Developed by a master's thesis researcher in classification models, it showcases a modern approach to combining different models for problem-solving.
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Ranked from stored criteria vectors. No live classification on this page.
JevForm utilizes dynamic branching to customize questions based on user input, simplifying complex form creation. Built with Vercel's json-render and XState for state management.
This tool flags AI-generated replies on X by analyzing common writing signals. It provides instant probability assessments for each reply through a Chrome extension.
This Chrome extension listens to YouTube audio and detects sponsor segments to skip them in real-time. It is a prototype project that costs approximately $0.005 per video and is open-source.
This Chrome extension uses TypeSafe’s Jev model to label posts in your X timeline, identifying ragebait, hype trains, hidden ads, spam, payout farming, AI content, and genuine posts with probability breakdowns.
This small game simulates a traffic stop where players' responses influence the tension meter. Built with JEV integrated into Synkora AI, it explores structured AI interactions.