Gevva0 is a local decision engine built on Gemma 26B that replaces slow autoregressive JSON generation with direct logit scoring and calibration techniques, delivering deterministic classifications with audit trails in 15–45ms. It addresses four failure modes in LLM classification: logit poisoning, positional bias, poor calibration, and latency, using cyclic debiasing and Platt temperature scaling.