Jev: what it is and what you can build

Jev is TypeSafe AI's model for fast, bounded decisions. Give it relevant context and questions with defined answers; it returns choices, rubric scores and probabilities. Its practical uses include document classification, support routing, agent evaluation, retrieval, adaptive interfaces and attention management. Application code still owns policy, arithmetic and actions, while generative models supply prose and deeper reasoning.

Read the complete deep dive: What is Jev, and what can you do with it? The guide explains the three primitives, examines real builds and GitHub examples, and shows how to design a useful first experiment. Evidence is current to September 20, 2026, five days after the public launch; demonstrations and narrow benchmarks do not establish broad production reliability.

The evals discussion reinforces atomic criteria and shared-state batching; confidence thresholds still require task-specific validation.