Launching today

gg-friggin-ez
Fast & free profanity and toxicity screening via Jev & Laya
30 followers
Fast & free profanity and toxicity screening via Jev & Laya
30 followers
Fast, free, drop-in multilingual profanity and toxicity screener for Node.js, powered by System 1 models like TypeSafe AI Jev and Laya. Catches leetspeak, ASCII drawings, character spacing, and romanized profanity across all languages including Kannada, Telugu, Tamil, Hindi, and Bengali. Ultra-low cost • Multilingual • Native Indic support • Evasion-aware • Sub-500ms • ~$0.000004/message • Configurable moderation actions • Open source (npm i gg-friggin-ez)
Products used by gg-friggin-ez
Explore the tech stack and tools that power gg-friggin-ez. See what products gg-friggin-ez uses for development, design, marketing, analytics, and more.
LLMs 1
LLMs 1

JevFast, structured AI decisions for software automation
5.0 (1 review)
Also considered:
General-purpose generative LLMs can be too slow and expensive to run on every live-chat message. OpenAI's omni-moderation model is genuinely good at general moderation, but starts missing things on obfuscated text, romanized Indic, and the usual game chat evasion tricks.
Jev returns calibrated probabilities/scores for toxicity, profanity, severity, language, and obfuscation type. gg-friggin-ez then applies deterministic policy thresholds to produce ALLOW / SUSPICIOUS_REVIEW / AUTO_CENSOR / AUTO_BAN.
OpenAI