Code calculates the state, Jev provides the decision, code applies policy, the risk engine checks, and the order is executed—forming a complete automated trading loop.
Code calculates the state → Jev answers the battery → code applies policy → the risk engine checks → execution places the order.
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.