AI Agent

Simple Definition

An AI agent is a system that can take a goal, break it into steps, make decisions along the way, and complete those steps autonomously — often using AI tools, web search, and external services.

Unlike a chatbot that responds to a single question, an AI agent works toward a goal over multiple steps without needing you to guide each one.

Why It Matters

Agents represent the next evolution beyond AI assistants. Instead of you prompting the AI for each step, you give the agent a goal (“research this topic and write a summary”) and it handles the intermediate steps itself.

Example

Chatbot approach:

• You: “Find the top 5 AI tools for marketers.”
• AI: Gives you an answer.
• You: “Now summarize the pros and cons of each.”
• AI: Summarizes.
• You continue prompting each step manually.

Agent approach:

• You: “Research the top AI tools for marketers and write a comparison report.”
• The agent: Searches the web, collects information from multiple sources, compares features, writes a draft report, and delivers the finished output.

How AI Agents Work

Most AI agents are built on a loop:

1. Plan — break the goal into steps
2. Act — take the next step (search, write, calculate, call an API)
3. Observe — see the result
4. Repeat — continue until the goal is complete

Current Reality

AI agents are increasingly capable but still imperfect. They can make errors, get stuck in loops, or take unexpected approaches. For important work, human oversight of agent outputs is still necessary.

Related Terms

• AI Workflow — a structured process using AI tools
• LLM — the AI technology that powers agents