Most enterprise agent traffic is decisions, not prose — yet every branch is still produced by an autoregressive model.
Once the decision layer moves out of the LLM and back into code, the agent becomes two planes (decision and generation) joined by a control layer you can test, version and audit. This follow-up to the Jev piece covers cascade architecture, calibration over raw accuracy, and where the pattern fits (and where it does not).
Read the full essay on my site: The Decision Plane: Why Jev Changes Enterprise Agent Architecture
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