Agents3h ago
How Iterative Loops Power AI Agents
Iterative loops serve as the core mechanism for decision-making in autonomous agents. These cycles allow systems to refine outputs through continuous feedback and self-correction. While the concept is fundamental to machine learning, this explanation remains basic. Practitioners should view these loops as the primary driver for agentic reliability and goal-oriented behavior.