JevMade field notes / Video guide

Jev and Herdr: The Best Way to Route Models (Must-Try Workflow)

Nidhi Singh demonstrates using TypeSafe AI's Jev model inside a custom CLI router and Herdr agent runtime to automatically select harnesses, models, and reasoning efforts.

Original by Nidhi SinghAgent workflowsIntermediate17 min 11 sec Published 2026-09-17Source reviewed 2026-09-26

Before you press play

What you’ll find in the video

Jev acts as a fast decision engine using three parallel question output types (choice, score, and boolean) rather than chat-based generation.
A custom CLI router leverages Jev to select coding harnesses, target models, and reasoning budgets without manual switching.
Session-level routing rather than per-message switching is used to preserve prompt caches and manage token consumption across planning and execution phases.

Worth knowing

Auto-generated English captions reviewed with Gemini. The custom routing CLI shown is a personal prototype requiring early-access API credentials, and its decisions reflect prompt heuristics rather than standardized router benchmarks.

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