https://github.com/ShaliniAnandaPhD/Neuron/tree/main/Tutorials

Hey there! Welcome to your AI journey 👋

So you want to build AI agents? That's awesome! You're about to learn something really cool - how to create agents that can actually think, remember, and talk to each other. No more mysterious black boxes or fancy APIs you don't understand. We're building this from the ground up, together.

Think of this like teaching a digital pet to respond when you talk to it. Except this "pet" is going to be way smarter and eventually grow into something that could power real applications.

🚀 Ready to dive in? Open the interactive notebook and follow along!

What are we actually building here?

By the end of this tutorial, you'll have created your very first AI agent. Here's what makes it special:

• It can receive messages - Like getting a text, but for AI
• It processes them in the background - While doing other things (multitasking!)
• It responds intelligently - Well, with "Hello World" for now, but hey, we all start somewhere
• It keeps track of its performance - Because knowing how well you're doing is important

This might sound simple, but you're actually learning the fundamental building blocks that power every sophisticated AI system out there.

The "Aha!" moments you'll have

1. "Oh, so THAT'S how agents talk to each other!"

You'll understand why everything in AI should work like sending messages instead of direct function calls. It's like the difference between shouting across a room versus sending a well-formatted email - much more civilized and scalable.

2. "Wait, this can handle multiple things at once?"

Your agent will process messages in the background while you do other things. It's like having a really good assistant who can multitask without getting confused.

3. "I can actually see what's happening inside!"