Holy crap, the emergence of JEV might just be the starting point for automated intelligent trading. Yesterday, JEV was blowing up in the AI community, and today Monad engineers have already built an automated trading bot using JEV. It reads the real-time MON/USDC price. JEV doesn’t write analysis reports or explain a bunch of logic to you—it focuses on the core task: deciding whether to Buy or Sell, providing a confidence level, and then directly sending the trade to Kuru’s on-chain order book for execution. Suddenly, I understand why JEV was designed as a model that doesn’t talk. Trading doesn’t need AI to write you an essay every 300ms. What it needs is: Market data comes in → decision → order placement → new market data → reevaluation. And this entire loop needs to be fast and cheap. Right now, Monad happens to produce a block every 300ms, and Kuru is an on-chain order book. High-performance chains handle execution, JEV handles decision-making. When you combine the two, it’s already starting to feel like an AI-native trading system. The trading agents of the future might not need a super large model that writes research reports. What they’ll need more is a brain capable of making millions of decisions in ultra-low latency. By the way, the WL I submitted yesterday got approved today. Next, I’m going to test the waters and see what’s really going on.