Jev Scores High-Volume Telemetry

JEV FILTERS 40 BILLION DATA POINTS EVERY 15 MINUTES. AN LLM ON EVERY RESULT COULDN'T DO IT a research team pushes that volume through their pipeline. the first version put an LLM on every result. it worked, and it was unusable: millions of explanations nobody read, latency stacking at every stage, inference bills growing with the dataset. so they moved the LLM out of the hot path and put a judge in it. jev doesn't explain the data. it scores it and decides what the system investigates next. this is the telemetry from that redesign. p95 latency before and after, stage by stage: planner -24ms, r