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AI Agent Fundamentals: What Is an AI Agent?
Everyone says "AI agent" but almost nobody explains it simply. Here's the short version: a chatbot replies with text, a workflow runs fixed steps you wrote, and an agent decides its own steps to get a job done. Once that clicks, the rest stops being magic.
The Big Picture module is free, no card needed.
What you'll understand
- Chatbot vs workflow vs agent, and when each one is the right tool
- What a system prompt is and why "You are helpful" is a weak one
- Why agents need tools and web search to actually do things
- What RAG is, in plain language, and when you'd use it
- Guardrails, human-in-the-loop, and how agents stay safe
How you'll learn it
Concepts you can see
Every idea is animated and explained from first principles, then you watch a real agent make decisions live.
A free starter module
The Big Picture module is free. Build intuition before you commit to anything.
Then you build
Fundamentals leads straight into hands-on labs where you write prompts and add guardrails yourself.
Graded instantly
Hit Check my work and get told exactly what you got right and what to fix, no waiting.
Common questions
What is an AI agent in simple terms?
An AI agent is a model that can take actions and decide what to do next based on what it sees. A chatbot just talks back; an agent can search, look things up, and choose its own steps to finish a task.
What's the difference between an AI agent and a chatbot?
A chatbot replies with text. An agent acts: it can use tools, read results, and decide the next step on its own without you scripting every branch.
Do I need experience to start?
No. Fundamentals is built for absolute beginners and ChatGPT users. Every concept starts from zero, and the first module is free.
Understand AI agents, then build one
Start with the free Big Picture module, then build your first real agent in the browser.