The build uses AI to scan NFT listings and determine whether a cheap NFT is an opportunity or a trap. It covered 20 collections and 898 listings, screened 801, rejected 11 traps, and 1 passed.
Found this HypeMeter build made with Jev + Minds in just 4 hours. The idea is simple: use AI to scan NFT listings and figure out whether a cheap NFT is actually an opportunity or just a trap. 20 collections, 898 listings 801 screened → 11 traps rejected → 1 passed. Jev
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.