A new AI trading bot architecture integrates Claude Opus 5.5 with Jev to separate high-level strategy design from real-time execution. The four-component system uses Opus 5.5 as the strategic brain for backtesting and strategy creation, while Jev serves as the decision layer that processes live market data to generate setup probabilities. A strategy.md file manages risk parameters including stop losses and position sizing, with the exchange handling final trade execution. The workflow converts strategies designed by Opus 5.5 into specific queries for Jev, which evaluates live data and returns probability scores that trigger trades against predefined rules. This division of labor leverages Opus 5.5 for complex strategic thinking and Jev for cost-effective, high-frequency decision-making. Demonstrated applications include news-based trading, high-frequency strategies, prediction market probability trading, momentum and volatility systems, and general portfolio management.