devwithjevRoutes Agent Decisions Through Jev
Noonez describes a single agent run split into 40 decisions: 28 go through Jev, 9 through deterministic code, and 3 require a frontier LLM.
View on X cost$0.8960 with a frontier model vs $0.0056 with Jev
noonez@0xnoonez๐
๐จ YOUR AGENT DOESN'T NEED A SMARTER MODEL it needs to stop waking one up 40 times per task I broke a single agent run into 40 decisions: โ 28 can go through Jev โ 9 belong in deterministic code โ only 3 actually need a frontier LLM the insane part: those 28 decisions cost $0.8960 with a frontier model vs $0.0056 with Jev same job. ~160x less money burned on decisions that never needed generation i
For the 28 decisions handled by Jev, the source compares the cost with using a frontier model for the same job. No latency is reported.
Also filed under Triage & routing
- Jev Intent and Tool Router
Huzeyfe_dev built a lightweight, framework-agnostic intent and tool router using Jev AI. It is designed to speed up agent loops by routing decisions without relying on large generative LLMs at every step.
- Local Candidate Scoring with Jev
Bev performs local Jevfire-style candidate scoring using ternary models and a System One API. Its probabilities are candidate-relative.
- Team Agent Workspace for Routing and Model Selection
Agentconnect is a team agent workspace that uses Jev typed decisions for response routing and model selection.
- Desktop AI Assistant with Jev Plugin
PyGPT is a desktop AI assistant with a Jev plugin for typed classification, routing, verification, and scoring.