AI Agents Explained Like You’re 5

So you’ve been hearing “AI agents” tossed around like it’s the new sliced bread.

Maybe you’ve played around with ChatGPT or Google Gemini, and you’re thinking, “What’s the big deal with AI agents? Aren’t they just… smarter chatbots?”

No, they’re not just chatbots. And understanding the difference might be the single most useful thing you’ll learn about AI this month.

This week’s pick is crucial if you're curious about AI but don’t have a technical background.

It cuts through the clutter and gives you clarity, like switching from a foggy windshield to HD glass.

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VIDEO OF THE WEEK: AI Agents, Clearly Explained by Jeff Su 

Link: Watch it here

Why you should care:

This is the explainer you wish you’d seen before getting lost in jargon like "RAG," "ReAct," or "agentic workflows." Jeff takes a simple path from chatbots to AI agents, using real-world examples and storytelling that sticks.

You’ve probably already tried asking ChatGPT to help you write an email or summarize a blog post.

That’s Level 1 AI - impressive, but passive. You type something, it types back. It doesn’t know you, it doesn’t do anything unless you ask. Think of it as an obedient parrot with a master’s degree.

Then comes Level 2: AI workflows.

This is where things get spicy. Imagine telling your chatbot, “Hey, if I ask about meetings, check my Google Calendar first.” Now it’s useful, right? But it still follows a script. You designed the path. It doesn’t think on its own.

And that’s where AI agents come in. Level 3. This is where machines stop being tools and start becoming collaborators.

An AI agent doesn’t just wait for your instructions. It reasons. It decides. It uses tools. It iterates.

You don’t say, “Step 1, do this. Step 2, do that.” You say, “I need this goal achieved.” And the AI figures out how to get there.

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In Jeff’s video, he explains this shift with the simplest (yet mind-blowing) metaphor: turning from a workflow puppet master into a hands-off manager. You set the goal; the agent figures out the plan, the tools, the iteration—everything.

The human is removed from decision-making.

Why does this matter?

Because it’s a massive leap. It’s the difference between having a GPS that needs constant input and having a self-driving car that gets you where you want to go, and adapts if the road changes.

If you’re a creator, a coach, a freelancer, or just someone curious about AI, this is your moment. AI agents can schedule your meetings, write your posts, critique your work, and even fix themselves when they mess up.

And they do it all while you focus on what matters most: thinking bigger.

Still skeptical?

Jeff shares a practical, relatable example of how he built a content publishing agent. It summarizes news articles, drafts social media posts, and even critiques itself to get better… all automatically.

You don’t need a PhD to see the potential. You need the right mindset.

So, if you're only using AI to answer questions or write drafts, you’re at the beginning of the story. AI agents are where it gets interesting.

And that story is just starting.

Watch the video. Understand the leap. Then start thinking like a leader, not a taskmaster.

Thanks for reading!

Best,

Miroslav from The Zilahut

AI TOOLS YOU SHOULD KNOW

• Text-to-speech - ElevenLabs, Murf

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• Automate anything - Make

• Video editing: Pictory,

• Short video generator: Short AI, Videotok

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