Proposes a smarter cost-cutting approach than switching to a cheaper LLM: stop sending every decision to an LLM. Build a three-layer intelligence system using Jev, DuckDB, Claude, and jev-calibrate, letting software handle facts while Jev manages layered decisions.
There's a smarter way to cut AI costs than switching to a cheaper LLM. Stop sending every decision to an LLM in the first place. I'd build a three-layer intelligence system using: Jev + DuckDB + Claude + jev-calibrate. The idea is simple. Let software handle facts, Jev
LLM holds memory/context, uses agent-desktop to take snapshots and sends them to Jev, which selects the right element to act on for faster Computer Use, with Cursor enabled and headless support.
Riley Brown shares that TypeSafe AI's Jev classified 500 emails in seconds for just 3.5 cents, highlighting its fast and low-cost email classification.
A comprehensive explainer video introducing Jev, an AI that doesn't write text but determines which department to route inquiries to and how urgent they are.
