Daily build-and-ship sequences focused on rapid learning. Covers structured 24-day technical arcs, progressive complexity, and hands-on deployments shipped in small, atomic wins.
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How to create 4 subnets (2 public, 2 private) in different availability zones for high availability
Day 1: Your AI agent's first phone call Day 1 ↗
Day 2: Give your AI agent a real-world mission Day 2 ↗
Day 3: You claimed your territory (VPC) Day 3 ↗
Today: We'll build our neighborhood with subnets
How to create a Virtual Private Cloud (VPC) in AWS - your AI agent's private territory
Days 1-2: Your AI caller agent ran on your laptop.
Today: We're moving it to the cloud
How to give your AI agent a real job: call and book restaurant reservations
Yesterday, your AI agent called you and you had a basic conversation.
Today? We're giving it a real job: booking restaurant reservations.
By the end of today, your AI agent will:
✅ Call a phone number
✅ Act as your personal assistant
✅ Request a dinner reservation
✅ Handle follow-up questions
✅ Sound professional and polite
And you'll test it by answering the phone and roleplaying as the restaurant.
This is where it gets fun.
How to build your first AI phone caller agent in 15 minutes. Your code. Real calls.
Your AI agent is trapped.
It can write emails. Answer questions. Generate code.
But it is stuck in your chat text box. It can't pick up a phone and call someone.
But what if it could?
What if you could say:
"Hey ChatGPT, call the restaurant and book me a table at 7pm"
or
"Hey ChatGPT, call the doctor's office and reschedule my appointment"
What if your AI agent could exist in the REAL world and not just in your browser?
That's what we're building.