TypeSafe and LangChain release guide to building agents with Jev
The guide covers using Jev as the decision layer in an agent loop: routing simple tasks to fast models and harder ones to stronger models, while keeping full traces of every Jev decision for later tuning.
TypeSafe x LangChain just dropped a guide on how to build agents with Jev “Jev is about making fast decisions from well scoped questions with type safe schemas” → route simple tasks to fast models and harder ones to stronger models without another heavy LLM call → keep full traces of every Jev decision so you can inspect inputs, outputs and tune the system later they’re basically turning Jev into the decision layer inside the agent loop save this, then watch below ↓
This post quotes another post: “Jev creator publishes 10-step blueprint for Jev-native coding agents”