Jev: TypeSafe's Decision Model for High-Frequency Agent Tasks
This article analyzes TypeSafe's Jev, a specialized decision model that returns structured choices, scores, or boolean judgments for high-frequency agent tasks like game AI, browser automation, and ticket triage, offering lower latency and cost than LLMs by narrowing training to calibrated classification with confidence gating.
