Jev's engineering loop: moving repeated decisions out of the large model
The author breaks down Jev's six-step loop for speeding up agents: structured state, isolating repeated decisions, smart routing and a verification loop, with a visualization.
JEV does not make an AI agent faster by magic the real speed comes from removing unnecessary thinking from decisions the system makes over and over again. formula: Faster Agent Loop = Structured State + JEV Decision Layer + Smart Routing + Verification 8% -> define the task. Separate the real objective from all the extra context around it. 21% -> isolate repeated decisions. Things like “which tool?”, “retry or stop?”, “is this valid?”, and “what happens next?” 43% -> move those decisions into JEV. Give it structured state, exact criteria, and a small set of possible outcomes. 68% -> route execution intelligently. Easy decisions stay inside the fast path. Hard or uncertain cases fall back to the stronger model. 84% -> verify every important output. Failed checks loop back into the system before they become real actions. 100% -> update memory and run the next cycle. The loop gets cleaner because every decision, route, and result becomes part of the next state. JEV handles the repeated decisions. The larger model handles ambiguity and complex reasoning. Verification keeps bad routes from propagating through the system. I visualized the full JEV Engineering loop below ↓
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