JEV PLAYGROUND ARCADE

JEV Playground Arcade offers an interactive environment to experiment with TypeSafe AI's Jev decision model through 8 distinct 'cabinets.' This platform demonstrates how to: * Route support tickets * Measure customer sentiment * Detect refund requests * Evaluate resumes across multiple criteria Unlike a traditional chatbot, Jev operates by taking application state (text, JSON, or string arrays) and typed questions, then returning calibrated, typed decisions with confidence scores within milliseconds. It focuses solely on judgment, leaving policy and side effects to your existing code. The arcade features different decision types: 'Choice' for selecting one option from many, 'Score' for placing state on an ordered rubric with fractional results, and 'Noul' for providing a calibrated probability of a condition being true. This confidence-gated routing allows for automated actions when Jev is certain, while uncertain decisions can be flagged for human review or routed to more expensive language models. Built for developers and product managers exploring advanced decision logic, JEV Playground Arcade provides a hands-on experience for understanding and integrating precise, high-speed decision primitives into various applications. Each cabinet simulates real-world use cases, making it an excellent resource for optimizing operational efficiency and enhancing user experience by embedding calibrated judgment where it's most needed.