📰 Originally published on Securityelites — AI Red Team Education — the canonical, fully-updated version of this article.
🤖 BUILD AI AGENTS FOR BEGINNERS FREE
What is an AI Agent – Day 1 of 5 · 20% complete
Forty minutes. One sentence. Seventeen pages.
Let me start with something I actually want you to understand before we get into any technical terms.
A few months ago, I gave an AI agent a task that would normally take me around two hours. I told it:
“Research the top five open-source AI agent frameworks, compare their security models, and create a structured report.”
That’s it.
I didn’t give it a list of websites. I didn’t tell it which search queries to use. I didn’t give it a security checklist. I didn’t even tell it exactly how I wanted the research to be done.
I gave it the goal and let it work.
When I came back about forty minutes later, I had a seventeen-page report. It contained source citations, a comparison table, and something that caught my attention: it had identified a framework that depended on an unpatched library.
Now, here’s the important part.
I hadn’t explicitly told the agent, “Check every framework for vulnerable dependencies.”
It decided that this was something worth checking while working toward the goal.
And that’s where I want you to see the difference between a chatbot and an AI agent.
If you’ve used ChatGPT or another AI chatbot, you’re probably familiar with the basic workflow. You ask a question, the AI gives you an answer, and then you decide what happens next.
You might say, “Now search for this.”
Then, “Compare these two results.”
Then, “Put that into a table.”
Then, “Check whether this library has any known vulnerabilities.”
You are effectively sitting in the middle of the process, telling the AI what to do next.
An AI agent changes that workflow.
Instead of giving the system every individual instruction, I can give it a goal and allow it to work through multiple steps on its own.
It can decide what information it needs. It can use tools to obtain that information. It can look at the results, decide whether they are useful, adjust its approach, and continue.
So if you remember only one sentence from this entire introduction, remember this:
A chatbot mainly gives you answers. An AI agent works toward a goal.
That sounds like a small difference, but it isn’t.
Once an AI can browse the web, call APIs, execute code, search databases, read documents, use software, and make decisions between multiple steps, you’re no longer dealing with something that simply generates text for you.
You’re giving the AI the ability to do things.
And this is exactly where things become interesting for us at SecurityElites.
Because every new capability creates a new security question.
What happens if the agent misunderstands my goal?
What happens if it receives malicious information from a website?
What happens if someone tricks it into using a tool it shouldn’t use?
What happens if the agent has access to sensitive files, email, databases, or production systems?
And perhaps the biggest question: what happens when the AI can take an action without asking me first?
We’re going to answer those questions throughout this five-day series.
But I’m not going to throw complicated architecture diagrams at you on Day 1 and expect you to somehow understand them. I want to build this from the ground up.
First, I’ll show you what an AI agent actually is.
Then we’ll break down the loop that makes an agent different from a chatbot.
We’ll look at how agents plan, remember things, use tools, and decide what to do next.
And because we’re learning this on SecurityElites, I’ll also show you where that autonomy creates opportunities for attackers—and where developers can put guardrails in place.
So forget the hype for a moment.
Forget the claims that AI agents are going to replace every job.
Forget the idea that an agent is some magical AI that can do absolutely anything.
Let’s start with the basics and understand what is actually happening under the hood.
By the end of this lesson, when someone says “AI agent,” I want you to know exactly what they mean.
🎯 What You’ll Understand After Day 1
The precise difference between a chatbot and an AI agent
The four components of the agent loop — Perceive, Plan, Act, Observe
Why the loop makes agents fundamentally more capable and more dangerous than LLMs
The five types of AI agents already deployed in the real world
Why 2026 is the year agents went from experiment to infrastructure
⏱ 24 min read · 3 exercises · Just a browser needed 📋 Before You Start:
- No technical background needed — this course starts from zero
- You’ve used ChatGPT, Claude, or any AI chatbot at least once
- Optional foundation: AI Basics and LLM Basics — these aren’t required but they make Day 1 land faster
📖 Read the complete guide on Securityelites — AI Red Team Education
This article continues with deeper technical detail, screenshots, code samples, and an interactive lab walk-through. Read the full article on Securityelites — AI Red Team Education →
This article was originally written and published by the Securityelites — AI Red Team Education team. For more cybersecurity tutorials, ethical hacking guides, and CTF walk-throughs, visit Securityelites — AI Red Team Education.
