Models & Agents
The difference between an AI model and an agent, how agents work, and how to choose a model.
A model generates a response from the prompt and context it receives. Web searches and file operations require tools.
An agent combines a model with tools and a loop. It can act, inspect the result, and decide what to do next.
Agents use tools to interact with the real world, such as reading files, running commands, browsing, or calling APIs.
Simple tasks do not always need the most capable model. A faster model can save time and money.
The agent loop is observe, decide, act, and evaluate. Tool results help the agent choose its next action.
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