Traditional AI resets after every query, but agentic AI uses memory to refine decisions. Mistakes are no longer just errors—they’re learning data. This ongoing feedback loop allows the system to improve autonomously, reducing human intervention and leading to more intuitive and precise outcomes in future interactions.