Building Production Agents with Jev and LangGraph

Last week, TypeSafe AI released Jev, a new kind of model. Unlike traditional LLMs, Jev doesn't generate text. It makes decisions your code can act on directly, for what TypeSafe calls AI-powered software, where "code owns the workflow and AI handles narrow, structured decisions." TypeSafe sums up its philosophy as building "prod, not god." As frontier LLMs have gotten more capable, we've started treating them like god, reaching for them for any task with fuzzy inputs: prose generation, document extraction, search, ranking, research, classification, and more. Unfortunately, god is expensive, and slow. You pay for that generality on every call, even when all you needed was a yes or no. That's why Jev's launch drew so much attention. On narrow decision tasks, like the routing and classification steps many agents are built around, TypeSafe's benchmarks show Jev running up to 200x faster and 400x cheaper than…