Jev Brain adds local pre-routing layer that cuts tokens by 95%
Jev Brain routes agent decisions locally before the model, auto-executing when confidence is at least 0.80 and escalating only ambiguous cases to Claude, Grok or GPT, with tests showing a 95.2% token reduction.
Most teams still send every agent decision to a frontier model. That’s why inference is slow, expensive, and unsafe. Jev Brain sits in front of the model. Local pre-execution routing in <1ms. Confidence ≥ 0.80 → AUTO_ACT. Ambiguous cases only escalate to Claude / Grok / GPT. Everything else is handled by cache, pruning, and a deterministic warden. Benchmarks on 10k real events: 95.2% token reduction mean latency 0.18ms vs 2,140ms unrouted $15.36 vs $320 per 100k queries <15MB footprint GitHub Action + pre-commit hook included This is the missing layer between “agent can do anything” and “agent should do this.” Route first. Think only when it matters.