AI agents function by continuously observing their environment, processing information, and executing actions to achieve specific goals. They typically involve several core components: sensors to gather data, a perception module to interpret it, a reasoning or decision-making engine to choose actions based on goals, and actuators to perform those actions. The process begins with data input, followed by analysis using algorithms or machine learning models to understand the current state. Next, the agent's intelligence component determines the optimal response or action. Finally, the agent interacts with its environment, often adapting and improving through a learning component. This iterative perceive-think-act cycle allows AI agents to operate autonomously and achieve complex tasks effectively. More details: https://charterschoolpartners.org