Worker Integration

Routes background worker tasks to specialized agents based on trigger patterns and learns from execution history to improve dispatch decisions. Each trigger like ultralearn or optimize maps to specific agents (researcher, coder, performance-analyzer) with fallback options and multi-phase pipelines. The system tracks quality scores, success rates, and latency across executions to refine agent selection over time. Stores results in structured memory keys and monitors agents against benchmark thresholds. Useful when you're running automated workflows and want intelligent routing instead of hardcoded assignments, though the real value comes after it accumulates enough feedback data to make meaningful performance comparisons.