Jev adds a front decision layer to cut wasted Grok Bot calls
Jev first asks five bounded questions to route work, and only calls Grok Bot when generated text is actually needed, avoiding a full model call for every event.
JEV FOUNDER DIOGO ALMEIDA JUST SHOWED HOW 5 CHEAP DECISIONS CAN STOP GROK BOT FROM WASTING FULL MODEL CALLS letting a writing model decide everything is expensive before it even knows whether the event needs writing. Jev moves that control step in front. signal → harness → Jev → deterministic / Grok Bot / human → tests → logs → next turn jev asks 5 bounded questions first: route, urgency, evidence, safe to send, keep or drop. grok bot only enters when one of those decisions says generated text is actually needed. simple work stays deterministic, risky paths go human, and grok bot gets a smaller context with one clear job instead of the entire desk state. that’s the part i care about: Jev becomes the control layer, Grok Bot becomes the writing layer, and the expensive model stops deciding when it should be expensive.
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