What is the continuous cycle of observing, interpreting, planning, and acting that makes up an...

The reasoning loop is the recurring process through which an AI agent observes its environment or receives information, interprets the current state, plans an appropriate next step, and acts by using a tool or producing a response. The result of that action becomes another observation, allowing the cycle to continue until the agent achieves its objective or reaches a stopping condition. This iterative behavior distinguishes an agent from a model that merely generates a single response. Model training develops or adjusts the model before deployment and is not the agent’s runtime thinking cycle. Platform integration connects the agent with systems and services, while the user interface provides a means of interaction. Neither defines the observe–interpret–plan–act process. Consequently, this continuous decision-and-action cycle is correctly identified as the reasoning loop.