Paul Jasper demonstrates how to use Jev to extract company names from earnings call transcripts and determine whether someone is recommending buying stock or discussing products like an Apple Watch.
Using Jev in I am extracting company names from transcripts by matching them against a catalog of publicly traded companies I then use jev to find out if someone said "you should buy more apple stock" or "you should by a apple watch"
James Long uses Jev to tackle the most annoying problem in personal finance tools: generating good payee descriptions from raw bank data. It got about 95% of the way there on the first try, with many ways to improve the prompting.
A developer uses Jev to decide buy or sell and executes real trades on Kuru's on-chain order book via Monad every 300ms block. Link
Erik Spock Gafni suggests that those who make a lot of profit from Jev trading donate some of their profits to charity.