Agent architecture uses Jev for routing and Grok for deep reasoning
A 24-second animation shows an 84-node workflow where Jev classifies requests and scores context, Grok handles only the parts needing reasoning, and code validates permissions before acting.
you're f*cking wasting Grok on the dumbest jobs in your agent. stop paying a frontier brain to sort the queue. i created this 24-second animation with Grok and expanded the graph to 84 nodes and 1,109 connections. follow the paths. some requests need research. others need a label, a lookup or someone to approve an action. sending all of them through another reasoning call adds work at every branch. the Grok + Jev setup in this animation separates those jobs: › Jev classifies incoming requests and scores relevant context. › Grok handles research, writing and cases that need deeper reasoning. › code validates the result, checks permissions and runs the allowed action. › uncertain or sensitive requests go to review. take one customer email. "where's my order?" can route to a status lookup. a product question can go to Grok with the relevant documentation. a refund request can wait for approval before anything moves. you don't need the same expensive reasoning step for all three. and you can ask Jev several narrow questions about the same input in one call: which category? how complex? does it need review? keep those questions independent. let code combine the answers and choose the route. for a custom Grok API workflow, define these before adding more boxes: › the destinations a request can reach › the context each worker receives › the fallback when the route is unclear › the actions that require your approval › the examples you'll use to check routing mistakes the animation illustrates the architecture. its counters are illustrative, not results from a live deployment. start with one queue and compare routing errors, response time and total cost before expanding it.
This post quotes another post: x.com/kocer_eth/status/2092216029816472002