Quick answer
An AI agent is an LLM-powered system that can take actions: call tools, query APIs, browse the web or write code. Agents are LLMs plus a loop plus tools.
What it is
An AI agent is an LLM with a loop and a set of tools. The agent decides what to do next, calls a tool, observes the result and repeats until the task is done. Agents can use search, APIs, code execution and other LLMs as tools.
Why it matters
Agents turn LLMs from chat partners into operators. They can research, draft, file tickets, run code and orchestrate multi-step workflows.
How to use it
- Define a clear goal and a tight set of tools.
- Start with read-only tools and add write tools once you trust the agent.
- Log every action for audit and review.
- Always have a human in the loop for high-stakes actions.
Examples
- A research agent that searches the web, reads top results and drafts a brief.
- A support agent that triages tickets, drafts replies and escalates to humans.