Overview & Result
Ably Labs 展示了基于 Jev 的 Jev Pong 应用：Pong where the ball moves one step per model decision. Jev against the LLMs.
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/ably-labs/jev-pong.
- 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 Games & Real-Time Decision (游戏AI与实时对抗) 领域的实战落地能力。
Limitations
- Performance and latency benchmarks are community author-reported.
- Production deployments require custom guardrail calibration.