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Course

If your AI can’t call a phone, it’s just a demo.Most AI calling demos never ship.
This shows you how to deploy one.In this course you'll go from a local demo to a real AI caller that can make and receive phone calls.Most AI voice projects stop at the interesting demo.In this course you'll deploy a real AI caller on AWS in under an hour.
Self-paced • Developer-focused • No fluff

Developers build demos:✔ AI agents that can talk
✔ AI agents that can answer calls
✔ Voice agents running locallyBut they don't run in production.✘ No authentication
✘ No infrastructure
✘ No real phone number connected
✘ No callable endpointSo the project never actually ships.This course shows you how to ship a real AI caller.
Deploy a real AI caller
Move from demo → system.Learn the exact stack required to move from local demo to deployed system.Your AI will have a real phone number and can make and receive phone calls.
Understand the architecture
See what actually makes AI calling work:
authentication
infrastructure
callable endpoints
deployment pipelines
So you're not stuck building demos forever.
Own the stack
Deploy your own caller on AWS.Not a wrapper.
Not a hosted platform.A real system you control.
Hi, I'm Norah 👋
I help developers deploy their first AI caller agent - not just demo it.Over the last year I’ve been building AI calling systems using OpenAI, Twilio and AWS infrastructure.What I noticed:
Most tutorials stop at the exciting part → the demo.But real systems require something completely different:✔ A real phone number
✔ A backend
✔ Infrastructure
✔ DeploymentSo I built the Ship It course to show developers how to cross that gap.From:
“it works locally”To:
“it can call real people from my AWS account”You’ll deploy your first AI caller in under 1 hour.
✔︎ YES, if...
✔ You’re building AI agents or calling systems
✔ You've built demos but haven't deployed them
✔ You want to understand the real infrastructure behind AI calling
✔ You want to deploy your first working AI caller
✔ You want your AI to actually make calls
✗ NO, if...
✘ You're looking for a no-code tool
✘ You don't want to touching infrastructure
✘ You want someone else to implement this for you
Ship It Course
One time payment. Lifetime access.
Best if you want to deploy your first AI caller agent quickly and understand the real stack behind AI calling systems.Inside you'll get:
The full deployment walkthrough
The architecture explained
The stack used in production voice agents
Coming next
The Ship It course helps you deploy your first AI caller fast.But many developers want to go deeper - into the full infrastructure behind production AI calling systems.I’m currently building a flagship course that covers the complete AWS voice stack, including the architecture required to run scalable AI callers in production.The flagship course goes deeper into the full AWS infrastructure behind production AI calling systems.If you want to go beyond the first deployment → join the waitlist.
For developers who want the full stack

Most tutorials about AI calling show a quick demo.But they stop before the hard part:✗ No deployment
✗ No authentication
✗ No infrastructure
✗ No real phone integrationThis course exists to bridge that gap.Instead of another demo, you’ll deploy a real AI caller that can make phone calls.

PRIVATE SETUP
I’m opening a small number of private AI calling deployments for teams that want this capability implemented on their own infrastructure.Instead of learning the entire stack yourself, I’ll help you deploy a working AI caller tailored to your business.
Best fit for founders, agencies, and teams with a real use case.
SHIP YOUR FIRST CALLER
Stop building demos.Ship something that actually makes phone calls.
Free Technical Breakdown
If your AI can’t call a phone, it’s still a demo.A 3-page technical breakdown showing the exact stack required to deploy an AI that can make real phone calls → including the infrastructure most demos skip.

Here’s what this resource will help you understand:

Why most AI demos fail when connected to a phone
Everything that breaks the moment you try to plug your AI into a real phone number

Demo stack vs real calling system
What changes when your AI needs to handle real phone calls, not just run locally

The fastest path to your first real deployment
The minimum stack required to go from “it works locally” → “it can call a real phone”
Grab your free download:

This breakdown shows what’s required to turn a demo into a real AI caller that can make phone calls.
The goal is simple:
Help you understand what it actually takes to deploy a real AI caller.
Also sent to your email
Ship It course shows you how to deploy your first AI caller.The upcoming flagship course goes deeper into the full AWS AI calling system infrastructure behind production AI calling - including the architecture most demos skip.Join the waitlist to:
Get early access when the course launches
See the full stack behind scalable AI calling systems
Receive launch pricing for early builders
Planned release: Q2 2026
For developers who want the complete stack, not just the first deployment
I occasionally work with a small number of teams to deploy AI callers on their own infrastructure.This is best suited for businesses that want the capability of AI calling without building the full system themselves.Examples include:
AI receptionists
outbound calling agents
customer support automation
lead qualification calls
Submit your details and I’ll review whether it’s a good fit.
I’ll personally review your request.
PRIVATE IMPLEMENTATION
I help teams deploy AI voice callers on their own infrastructure.This is a private implementation service for businesses that want the capability of AI calling without building the entire system themselves.Instead of using a hosted platform, we deploy the system on infrastructure your team controls.Typical use cases include:
AI receptionists
outbound calling agents
customer support automation
lead qualification calls
Private deployment of an AI voice caller
Infrastructure configured on your AWS environment
Integration with Twilio phone provider
Guidance on customizing the agent for your use case
✔ Agencies offering AI services
✔ Startups building AI products
✔ Teams with real calling workflows
✔ Founders exploring AI automation
PRIVATE SETUP
Submit your details and I’ll review whether it’s a good fit.
Limited availability - a small number of deployments each month.
I personally review each implementation request.Please check your inbox and reply to my email with a short note about what you’d like the AI caller to handle.That gives me the context I need to evaluate fit.