Find something worth watching.Video guides

Walkthroughs, demos, and deep dives. Our notes first, the original next.

Real-time research powered by

Getting started

Start with the essentials.

Choose an introduction, then explore a worked example.

99 videos · showing 97–99

JEV Breakdown: The First AI Model Built For Code

by Rob Shocks

Rob Shocks explains TypeSafe's Jev model, built to output typed decisions rather than generative text. He reviews its core primitives (choice, score, Noul), demonstrates playground examples for triage and smart home actions, and discusses routing use cases.

TypeSafe Launches Jev, an AI That Can't Hallucinate

by The Runtime Report

This video breaks down TypeSafe AI's Jev model, examining how replacing freeform text with predefined typed outputs aims to eliminate hallucinations, the RLCD training method for probability calibration, claimed speed and cost advantages, and where fuzzy decision logic fits in production software architectures.

Jev CEO: I made ChatGPT, now I'm building what's next

by AI Engineer

TypeSafe AI CEO Diogo Almeida explains why post-training techniques like RLHF optimize for pleasing human users rather than execution. He distinguishes human-in-the-loop assistance from autonomous automation and outlines TypeSafe's approach to decision-making models.