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What is an AI agent?

An AI agent is software that uses an LLM and tools to complete a goal. Unlike a chatbot, it can take steps, check its work, and change files or apps you allow it to use.

A plain way to picture it

Picture a capable assistant sitting at a desk. The assistant has a computer, a filing cabinet, and a checklist. You give the assistant a result to produce, not every click to make.

The LLM is the assistant's thinking and writing skill. The tools are the computer and filing cabinet. The checklist tells the assistant when to stop and what to check.

An AI agent combines those parts. It can plan a task, use a tool, inspect the result, and try again. It keeps working inside the limits you set.

That analogy helps, but the real definition matters. An agent is a system built around a language model. The system gives the model tools, instructions, memory, and a work loop. This surrounding system is called an agent harness.

How an agent differs from a chatbot

A chatbot mainly returns text. You ask a question, it answers, and it waits. You must copy the answer into the right place.

An agent can act on the answer. It may open a file, edit a sheet, or use a browser. Then it can check whether the action worked.

For example, ask a chatbot to sort a customer list. It may explain the steps or draft a formula. Ask an agent with file access, and it can create a new sorted file. It can also count the rows before and after.

This doesn't make an agent correct by default. It can misunderstand your goal or make a bad change. Give it clear limits and review important work.

What an agent can touch

Access depends on the harness and the permission you grant. Common tools include:

• Files: Read, create, rename, and edit items in a chosen folder
• Browser: Open pages, gather public details, fill forms, and check a site
• Email and messages: Draft replies or work through an approved connection
• Spreadsheets: Clean rows, compare exports, and create a new report
• Terminal: Run commands that process files or check results

Some agents can click and type in desktop apps. Others stay inside one folder. Treat access like a key. Grant only the access needed for that job.

Drafting an email is safer than sending it. Preparing a file is safer than replacing the original. Keep approval steps before actions that affect customers, money, or records.

What this means for a small business

The best first task is narrow, repeated, and easy to check. Think about work you already do from a folder or spreadsheet.

An agent could compare two weekly exports and flag changed rows. It could read product notes and draft descriptions in your style. It could review pages in a browser and list missing details. You still decide what gets used.

Start with copies of real files. Keep the originals outside the working folder. Tell the agent the output name, the rules, and the check it must run.

A useful request might say: "Read these two inventory files. Create a new file listing changed quantities. Keep every product ID. Confirm the row count when done."

That request states the outcome and the test. It doesn't tell the agent which buttons to press.

If you're asking how to use AI in my business, begin with one task like this. Learn how the agent handles your files before adding more access.

Where the LLM fits

The LLM predicts the words used to plan and respond. It doesn't have hands by itself. The harness connects that model to tools and returns each tool result.

Model, harness, and permissions all shape the result. A strong model with vague rules can still damage a file. A clear task with a good check is easier to trust.

Common questions

Can an AI agent work without me watching?

Some agents can run scheduled work, but start with review steps. Check the output before anything is sent, published, deleted, or charged.

Does an AI agent remember my business?

Some harnesses keep memory across sessions, while others don't. Put lasting rules and examples in the working folder instead of relying on memory.

Is an AI agent the same as automation?

Not quite. Fixed automation follows preset steps, while an agent chooses steps toward a goal. Both still need clear limits and checks.

Next step

Type what your business does and see three examples, or send us a message about one task you'd like help with.

Keep reading

• Hermes Agent for business owners: what it is, what it costs, how to start
• What is an LLM?
• What is an agent harness?
• Codex vs Claude Code vs Hermes Agent: which should a business owner start with?
• How to talk to an AI agent: your first hour