Grok Bot workshop: using Jev to return typed routing decisions
A 54-minute workshop on running an agent team like a product org, contrasting frontier models that output routing decisions as prose with Jev, which returns typed options and probabilities.
SpaceXAI just released a free Grok Bot workshop 54 minutes on running a bot team like an actual product org Grok Bot → Specialists → Shared Context → Delegation → Self-Improving Teams 7% → 03:34 - Why managing several agent threads gets tricky 25% → 13:30 - Organize agents around real company roles 44% → 23:58 - Have agents work on multiple questions in parallel 56% → 30:07 - Share context automatically, without copy-pasting 75% → 40:38 - See an agent learn to delegate and review tasks A frontier model returns every routing decision as prose Who takes the task → What needs checking → Who approves it That’s not an intelligence architecture Jev returns typed options and probabilities, without writing a sentence LLM creates the work → Jev picks the next step → Code enforces the decision Save this before building another coordinator agent ↓
This post quotes another post: x.com/0xwhrrari/status/2108905400653279271