jev 让 agent 更快更省的四个用法
作者列出用 jev 做模型路由、computer use、自动审查和子代理编排，把 GPT-6 Astra 的调用成本压下来的思路。
jev will make agents 10x faster and cheaper, here's how: 1/ model routing: pick the right model for each task, without training a custom router https://x.com/mdlahfir/status/2100314182201802811?s=20 2/ computer use: faster, cheaper and more reliable for action-heavy tasks https://x.com/gregpr07/status/2100411066966749359 3/ auto review: ask jev whether an action is safe, instead of using a slow and expensive LLM https://x.com/fazxes/status/2100300097695232164?s=20 4/ less obvious: subagent orchestration long-running agents (cursor projects, grokbot, energy) parallelize work with subagents. but every user message, email, or subagent reply can wake the expensive orchestrator. example: it costs $1 to wake up gpt 6 astra w 100k input tokens jev can decide what each event needs: - route directly to a subagent - queue for later - wake the orchestrator
这条是引用着另一条写的：「Browser Use + Jev：7 秒查航班，成本约 $0.0039」