Worked on the ruvnet/ruflo repository to deliver a persistent semantic routing learning loop, focusing on improving routing reliability and enabling data-driven enhancements. Developed a persistence layer for routing outcomes, allowing the system to learn from previous successful task executions. Utilized TypeScript and Node.js to implement load, save, and merge utilities for routing data, supporting more accurate and adaptive routing decisions. Updated the way task patterns are loaded and consumed by the semantic router, reducing misrouting and enhancing operational stability. Addressed a critical issue in hooks-tools to close the learning loop, preventing runaway learning and ensuring consistent, stable routing behavior.