JEV Tutorial: System 1 AI, Structured Outputs & Python Examples
Mohamed Naji Aboo introduces TypeSafe AI's Jev model as a fast System 1 decision engine. He walks through the Python SDK using Noul, Choice, and Score in a single API call to classify customer support message topics, tone, and urgency.
Original by Mohamed Naji AbooGetting startedBeginner12 min 10 secPublished Source reviewed
Before you press play
What you’ll find in the video
Jev functions as a fast System 1 decision engine designed to output structured judgments rather than long conversational text.
The TypeSafe SDK provides Noul, Choice, and Score question primitives that can be evaluated together in a single request.
Urgency scoring maps against an ordered rubric, returning a continuous score relative to rubric criteria indices.
Worth knowing
Gemini-assisted video/transcript review. Demonstrated latency and calibration reflect a single interactive notebook call and should not be treated as a controlled multi-sample benchmark.