What Is an AI Agent? Explained Simply

You’ve probably heard the term “AI agent” everywhere lately. Nvidia is building them. OpenAI is building them. Anthropic is building them. But what actually is an AI agent?

The Simple Definition

An AI agent is an AI system that can take actions on its own to achieve a goal. Unlike a chatbot that waits for your next prompt, an agent can:

• Break down a complex task into steps
• Use tools (browsers, calculators, APIs)
• Remember what it’s done so far
• Make decisions about what to do next
• Keep going until the task is done

A Real Example

Chatbot: “Write a draft email to my client.” → You get an email draft. Then you send it.

Agent: “Schedule a meeting with my client and prepare a briefing.” → The agent checks your calendar, emails the client, finds a mutual time, books the meeting, researches the client’s business, and writes a briefing document. All without you managing each step.

Australian Examples

For Australian businesses, AI agents could:

• For tradies: Automatically quote jobs from photos, order materials, and schedule the team
• For real estate: Draft listings, schedule inspections, answer buyer questions, and generate reports
• For accountants: Collect receipts, categorise expenses, flag anomalies, and prepare BAS summaries
• For retailers: Monitor stock, reorder automatically, respond to customer enquiries

What’s Available Now?

• OpenAI’s Agent mode — Available in ChatGPT Plus and Atlas browser
• Claude Code — Anthropic’s coding-focused agent
• Google’s Project Mariner — Browser-based agent (experimental)
• Microsoft Copilot agents — Enterprise-focused

The Catch

Agents are powerful but imperfect. They can:

• Get stuck on unexpected problems
• Make confident mistakes (see our story on Claude’s false police tip)
• Cost more to run (more compute = more tokens)
• Need careful oversight

Bottom line: AI agents are where the industry is heading. Start experimenting with simple agent tasks now, but keep humans in the loop for anything important.