Great Lakes Institute for Applied Intelligence

An introduction to AI agents

What they are, what they can help with, and a small first task you can try today.

Level

Beginner. No coding required.

Reading time

About 6 minutes

What is an AI agent?

An AI agent is software that uses AI to work through a task toward a goal. Depending on the tools it has access to, it might search the web, read a file, compare information, or create a document. It can use what it finds to decide what to do next.

Think of the difference between asking for advice about a task and handing over a small assignment. A chat can explain how to compare three products. An agent with web access can look them up, gather details, and put a comparison together for you to review.

The boundary is not absolute: many chat apps also use tools. What matters is what the system can actually do, what you have allowed it to do, and whether the result is useful. OpenAI’s overview of agents describes this combination of goals, tools, and multiple steps.

Goal → steps → tools → check

You describe an outcome. The agent works through steps, uses available tools, and checks its progress. It may repeat that loop or ask you a question. You review the finished work.

What could that look like in everyday life?

  • Learning: Find beginner resources on a topic and organize them into a short study plan with links.
  • Community work: Turn a set of public event details into a draft calendar, then flag missing times or locations.
  • A small business: Read a fictional set of customer questions and draft a helpful FAQ for the owner to check.
  • A practical purchase: Compare a few products against your requirements and explain the tradeoffs, without buying anything.

These are possible assignments, not promises that every agent can do them. An agent without web access cannot look up current information. An agent without access to your files cannot read them.

How to get started now

You do not need to build an agent or write code to try one. Start with a tool that already offers task delegation. One current option is ChatGPT.

  1. Open ChatGPT and look for Work. If it is available in your account, switch to Work to give it a task with a clear result. Availability and usage limits can vary; check what your account offers before paying for anything.
  2. Choose a small assignment. Use public information and an outcome you can easily check. You do not need to connect your email, calendar, or private files for the exercise below.
  3. Describe the result and the boundaries. Say what you want, which information to use, and when it should stop or ask you.
  4. Follow along and review the result. Answer any useful questions, correct misunderstandings, and check the sources yourself.

Product steps are based on OpenAI’s getting started with Work guide. Names and availability can change; that guide is the place to check the latest instructions.

If you only have ordinary chat available, you can still practice writing a clear assignment and reviewing a draft. Ask it to work from text you provide. That is useful preparation, but it does not give the chat access to websites or other tools it does not have.

Your first exercise: plan a small herb garden

Try a low-stakes research task with a result you can inspect in a few minutes. Copy this into a tool with web access, or adapt the subject to something you are curious about.

I am a beginner planning a small outdoor herb garden in Michigan’s Upper Peninsula for next summer. Help me compare basil, chives, and parsley.

Use public university extension or botanical garden sources. Make a short table with sunlight needs, watering guidance, and one beginner tip for each herb. Link the sources and say which growing conditions could change your advice.

Then suggest one plant to start with and explain why. Keep the answer under 500 words. Do not buy anything, create accounts, contact anyone, or use private information. If you cannot browse, tell me instead of guessing about sources.

Notice how the prompt gives a goal, a location, a source preference, an output format, and clear limits. You can reuse that structure for a different project.

How do you know whether it did a good job?

  • Open the links. Do the pages exist, and do they actually support the claims?
  • Check the fit. Does the advice account for your location and circumstances, or did the agent make assumptions?
  • Look for missing information. A neat table can still leave out something important.
  • Ask for a focused revision. For example: “Which advice depends on whether I use pots or plant in the ground? Revise the comparison to make that clear.”

An agent’s own check is not independent verification. If a claim matters, return to the original evidence or someone qualified to assess it.

Keep yourself in charge

Agents can misunderstand instructions, use weak sources, and make mistakes across several steps. Start with drafts and research. Give access only to what a task needs, and use public or fictional material while you learn.

For actions such as sending a message, spending money, publishing, or changing a record, use the tool’s approval controls and review the exact action first. A sentence in a prompt is helpful guidance; it is not a substitute for access and permission settings.

A good first goal

Finish one small task you understand well enough to check. Notice what helped, what needed correcting, and what you would explain more clearly next time.

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