Jev scans 200+ HFT models to pick the best fit for a specific market setup, going from prompt to paper trade in 12 minutes.
Jev just replaced a $750K/year quant at Jane Street It scanned +200 HFT models and picked the best fit for my exact market setup - in miliseconds setup takes literally 12 minutes: prompt + market state → Jev filters models → selects the best fit → backtest → paper trade →
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.