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Grok Bot 多 agent 编排 vs Jev 结构化决策对比

54 分钟 Grok Bot 工作坊讲多 agent 协调,作者反驳:路由该用 Jev 返回带概率的类型化选项,而非让模型写一段话。

silentguy
@silentguyy662026.10.03收录原推发布于 2026.10.02
silentguy @silentguyy66原推发布于 2026.10.02
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SpaceXAI just released a free Grok Bot workshop 54 minutes on running a team of bots like a real product org: 03:37 - it gets really hard to babysit multiple agent threads. everyone built their own coordinator agent, never first-class 13:32 - map it to a real company: specialists, and knowing who to turn to with a data question vs a design question 23:59 - agents multitask, several questions in parallel 30:08 - context gets shared behind the scenes, nobody copies and pastes 40:40 - the em agent learned to task out work and review it. nobody told her to Every routing decision inside that org comes back as a paragraph from a frontier model Who takes it, what to check, who signs off, all of it as prose That is not intelligence architecture Jev returns typed options plus a probability, $0.042 per million input tokens, and never writes a sentence LLM creates the work → Jev decides what happens next → code enforces it Save this before you build another coordinator agent

这条是引用着另一条写的:「Jev 把路由打分验证做成决策层」

x.com/silentguyy66/status/2105975931483365418采集于 2026.10.03 10:04