Jev 加速 Computer Use:LLM 记忆配合 Jev 执行操作
LLM 持有记忆与上下文,通过 agent-desktop 截图并发送给 Jev,由 Jev 选择正确元素执行操作,实现更快的 Computer Use,支持 Cursor 与无头模式。
数据管道识别候选信号,JEV 按标准筛选,Opus 探索解释。美丽的模式也可能是噪声,通过结构化调查来区分。
A beautiful pattern can still be noise. Here’s a JEV × Opus 5.5 workflow I’d test: → A data pipeline identifies candidate signals. → JEV selects which candidates to investigate using defined criteria. → Opus helps explore those candidates and propose explanations. →