The post lists 10 interesting Jev use cases, such as classifying 1,000 emails across multiple questions (invoice, phishing, urgency, etc.), noting 7 classifications across 1,000 emails in 6 seconds.
10 Jev use cases I found interesting: (+2 bonus ones in the image) 1. Email classification - Give it 1,000 emails and ask multiple questions at once: invoice, phishing, email type, urgency, sponsor fit, etc. Jev processed 7 classifications across 1,000 emails in 6 seconds for
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.
