An LLM can generate an answer. But an AI Agent needs to do something beyond generating text. The important distinction is the layer around the model: LLM → Instructions → Tools → State/Memory → Permissions → Control Loop For example, imagine an agent that needs to retrieve the current weather. The LLM itself does not magically call the weather API. A typical flow looks like this: The application defines an available tool. The model decides that the tool is required. The mo...