Emergency Dispatch Decision Demo
Asta built a small demo simulating a city emergency dispatch center to test Jev’s quality. It sends each incident to Jev to identify the incident type and assess urgency.
Asta@asta_td𝕏
Jev has just launched, and its approach to handling a large volume of independent, parallel decisions is quite impressive. But does "fast and cheap" also mean accurate? I built a small demo to test the model's quality. Setup: Emergency Control Room An app simulating my city's emergency dispatch center. Each incident is sent to Jev to: - Identify the incident type - Assess urgency - Select the appr
The demo followed Jev’s launch. Asta wanted to test whether the model’s speed and low cost also meant accuracy.
Also filed under Triage & routing
- Jev-Assisted Codex Model and Effort Routing
The project provides Jev-assisted model and reasoning-effort routing for local Codex Desktop and CLI.
- Plain-English Gmail Filter Judge
The project uses Jev (TypeSafe) to judge Gmail filters written in plain English.
- Framework-Agnostic Jev Intent and Tool Router
Huzeyfe_dev built a lightweight, framework-agnostic intent and tool router using TypeSafe’s Jev decision model to speed up agent loops.
- MCP Tool Router with Jev and MCTS
Harness-router is a lightweight tool router that uses Jev for fast tool selection and Monte Carlo Tree Search for harder multi-step decisions. It uses MCP as the tool interface and falls back when routing is uncertain.