Jev Crash Course
An 11-level runnable crash course on TypeSafe AI's Jev/System One decision model, with real API examples, tests, and evals.
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Curated Jev SDKs, tools, demos, integrations, benchmarks, and research projects. Repository metrics come from GitHub; titles, summaries, and categories are editorial.
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An 11-level runnable crash course on TypeSafe AI's Jev/System One decision model, with real API examples, tests, and evals.
A Chinese beginner tutorial for Agentic RL with 25 chapters and a runnable minimal-verl example; Chapter 25 analyzes the capability boundary between TypeSafe AI's Jev/System One discriminative model and reinforcement learning.
A free hands-on course that builds 13 AI agent use cases with Jev System One and an LLM across 12 notebooks, with real outputs and benchmarks.
Explains how modern AI agents are built, covering loops, tools, memory, and more. Section 22 integrates TypeSafe Jev as a typed decision edge in graph engineering.