AI Agent Types

What exactly is an AI agent?

People use the term for everything from a custom chatbot to a full company platform. It gets simpler when you sort these tools into seven groups.

Where do most people start?

With custom assistants, like Custom GPTs and Gemini Gems. You give the chatbot a role, instructions and files. Connect it to tools like your calendar, and it can take actions too.

What if you want AI to finish a whole task for you?

That's where agent modes like ChatGPT Work come in. Ask for a summary of this week's project updates, and it goes through your files and email to prepare it.

Can AI keep working when you are not chatting with it?

Yes. Always-on agents like Meta's Muse, OpenAI's Dots and Claude Duet watch your apps and flag what needs you. They message you on WhatsApp, Slack or their own app.

What about processes your team repeats every day?

Step-by-step workflows in tools like Google Workspace Studio or Zapier let you set each step. And agents inside business software, like Salesforce Agentforce, work on the records your company already keeps there.

What if no ready-made tool fits your need?

No-code builders like Voiceflow let you drag and drop to build your own agent, say, a clinic receptionist. For full control, developers build coded agents from scratch.

So what makes something more of an agent?

It decides its next step, acts on it and checks its progress towards a goal. The more it does on its own, the more of an agent it is.

What to remember

Decide what the AI should handle and which actions need your approval. Then pick the simplest option that does the job reliably.