Grok Bot multi-agent orchestration vs Jev's structured decisions
A 54-minute Grok Bot workshop covers multi-agent coordination, and the author argues that routing should use Jev to return typed options with probabilities rather than having a model write a paragraph.
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
This post quotes another post: “Jev turns routing, scoring and verification into a decision layer”