无人机配送用 Jev 做每秒两次的飞行决策
LLM 只在起飞前规划一次路线，Jev 每秒读两次状态并返回 CLIMB/STRAFE L/HOLD 等类型化选择，低置信度才唤醒 LLM，整趟 47 次决策零文本生成、成本约 0.0019 美元。
a drone flew a full courier run and nobody asked an LLM what to do next 47 decisions. 0 words generated. $0.0019 for the whole run, in this demo the loop is split into four jobs: > LLM - writes the route once, before takeoff > JEV - reads the state 2 times a second and returns one typed choice: CLIMB, STRAFE L, HOLD > GATE - confidence of 0.85 or higher goes straight through, anything lower wakes the LLM > CODE - actually flies the thing eight fields come in: altitude, wire clearance, wind, battery, drop zone distance, dog distance, window, payload. one label comes out in about 200 ms wires are close and altitude is low, so it climbs. payload is empty and the zone is reached, so it holds. none of that needs a paragraph that's why the cost stays near zero. the expensive model only shows up when the state is unclear planning is slow and expensive. steering has to be fast and cheap. splitting them is the whole trick state schema, gate logic and the full loop in the thread below