Continuous Learning Agent

Tracks prediction accuracy against actual maintenance outcomes. Identifies model drift and triggers retraining when performance degrades. Incorporates feedback from technicians and adjusts risk models based on real-world repair data. Maintains agent memory for improved future predictions.