A user used Jev to predict Sunday NFL games, fed fresh context via p0 search, compared win estimates on Robinhood, and sized bets with the Kelly criterion, risking $67.14 for a $97 payout and 44% profit.
I had Jev predict every nfl game this sunday and walked away with a 44% profit It found 5 bets with an edge. 4 won $67.14 risked → $97 payout We gave it fresh context through @p0 search, compared its win estimates on robinhood, and used the kelly criterion to size bets
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.