AI Agent Education 1 article

An AI agent is often designed to pursue a bounded objective using model outputs, tools, and a controlled sequence of actions. Tool calls, intermediate decisions, feedback loops, permissions, and stopping conditions are important concepts. Practical explanations should distinguish supervised workflows from systems granted more autonomy and consider how actions are monitored. Designing a bounded task, defining permitted actions, and logging tool use are practical foundations for evaluating an agent's behavior.