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.
该仓库是一个免费的端到端教程，包含12个Jupyter notebook，使用TypeSafe AI的Jev / System One模型构建13个AI智能体用例，并提供真实输出、基准测试和可运行的demo，是实质性的Jev集成与教学项目。
TypeSafeAITypeSafeAI/jev-harnessOfficialTypeSafeAI community repository implementing a Jev-based proposal-review workflow: an LLM proposes, Jev answers four narrow questions, code decides and leaves receipts; includes offline tests, routing experiments and a Next.js demo.
hardness1020hardness1020/learn-agent-architectureExplains 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.
ekzhangekzhang/openjev-sglangJev-compatible API endpoint based on open models (prefill-only), implementing TypeSafe Jev/System One evaluation endpoints with Qwen3.6-35B-A3B on SGLang.
