Jason Zhou shows how to set up three workflows with Jev + Treg in under 6 minutes: fraud detection & signup screening, finding and qualifying buying signals, and tracking viral content. Treg finds the data, Jev classifies it, saving $8K a month.
Jason Zhou says 3 workflows built with Jev + Treg saved his team $8K a month. In less than 6 minutes, he walks through the setup: • fraud detection & signup screening • finding and qualifying buying signals • tracking viral content Treg finds the data → Jev classifies it
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.
