Overview & Result
Rizzo AI Academy 展示了基于 Jev 的 rizzo-flow 应用：The open, local take on Jev: typed decisions without generating a token.
How Jev fits in the loop
- Agent 收集输入状态并提取候选操作选项。
- 将决策边界输入 Jev System One 快速评估模型。
- 根据置信度得分触发对应的动作或工具调用。
How to reproduce
- Review the source documentation and repository at https://github.com/Rizzo-AI-Academy/rizzo-flow.
- Configure environment with TypeSafe Jev / System One API keys.
- Run test prompts against the decision endpoints.
Why this build matters
展现了 Jev 在 Research & Data Analysis (科研、文献与数据提取) 领域的实战落地能力。
Limitations
- Performance and latency benchmarks are community author-reported.
- Production deployments require custom guardrail calibration.