Build & Launch Your First AI App in 30 Days Without Writing a Single Line of Code Yourself

A friendly roadmap that shows how an idea becomes something people can actually use. Think of it like planning a trip before you start driving.

Key takeaways:

1. Understand what you’re building and why
2. See how AI can power simple, useful products
3. Know the steps from sketch to shareable app

By the end you’ll feel clear about the journey and what comes next.

In this lesson, we will prepare your workspace to have all the necessary tools, including AI editors and required developer tools that will be explained in non-technical terms and installed by AI.

Key takeaways:

1. Pick the best editor for you (I’ll show options)
2. Get the basics installed (prep now saves time later)
3. Set simple defaults so things “just work”

By the end you’ll have everything you need to build AI apps.

In this lesson, we jumpstart your first AI app using a ready-made starter kit. Think IKEA but with clear instructions. You’ll see something working on screen very quickly!

Key takeaways:

1. Choose a clean starting point
2. Run it locally with a few clicks
3. Make a few small tweak so it feels like yours

By the end you’ll have a starter app running and ready to extend.

Treat AI like a smart co‑planner that turns your brain dump into a simple plan. It helps you ask better questions and find examples fast. We will use Grok or ChatGPT, whatever you have a subscription to. 

Key takeaways:

1. Organize messy ideas actionable steps
2. Spot what’s essential vs. what’s optional
3. Collect real examples you can copy.

By the end you’ll have a short, clear plan with next actions.

In this lesson, I will teach you what GitHub is and how to use it. It will save you from lots of frustration. Think “time machine + cloud backup” for your project. Try ideas safely, and undo mistakes without stress.

Key takeaways:

1. Save changes with messages you’ll understand later
2. Revert calmly when something breaks
3. Share your code without losing track

By the end, your project will be safely backed up with a clear history.

Give people keys to your app and a locker for their stuff. The app becomes personal and more useful. We use Supabase to add both. 

Key takeaways:

1. Let people create accounts and sign in
2. Store their data safely
3. Personalize their experience

By the end, your app will have a database, user logins, registrations, and password resets.

Many of my students say that this is the most valuable lesson in the program. I will teach you the inner workings of how your app actually works with a simple-to-understand house analogy. So you actually know where things live, and changes feel much simpler.

Key takeaways:

1. Know how “Next.js” actually works
2. Learn where things belong and why
3. Gain confidence in your app’s structure

By the end, you’ll feel confident moving around and making changes.

Create the things your users will see. Clean, welcoming, and simple. Keep what helps and remove what distracts.

Key takeaways:

1. Design and build a clear layout
2. Show only what matters
3. Leave space to grow

By the end, you’ll have an impressive and working dashboard.

Add the signage and good lighting, clear navigation, friendly sign‑in, looks great on phones. Small touches make everyday use feel smooth.

Key takeaways:

1. Make navigating easy
2. Tidy up sign‑in flows,
3. Optimize mobile friendliness

By the end, your app will feel professional and easy to use.

Upload example content so the app learns from you, like giving it a style guide. You stay in control of what it uses.

Key takeaways:

1. Let users upload content (emails)
2. Store emails in the database
3. Manage database content easily

By the end, your saved examples will be ready for the app to learn from.

Let users fill out a simple “order form” so the brain of the app knows what to generate with AI. This sets up the magic of your AI wrapper.

Key takeaways:

1. Create a clear form for users to use
2. Connect the form to the app’s brain (Claude AI)
3. Test the initial user experience to generate

By the end, the users will be able to generate new content (emails) based on their existing ones using AI.

In this lesson, we watch the AI brain (Claude) come together with clear, natural-sounding emails that match your user’s voice. Then we tweak the details.

Key takeaways:

1. Generate email drafts you’d actually send
2. Adjust tone and length (system prompting)
3. Test the full user flow

By the end, you’ll have a working email generator your users could actually use. 

In this lesson, we will add a simple ticket booth, so your users can actually buy your app’s offer. We’ll make it easy and trustworthy with Stripe.

Key takeaways:

1. Show clear pricing
2. Offer simple subscription plans
3. Use a clean Stripe checkout

By the end, payments will be connected in test mode and ready to try.

In the second part of this lesson, we add automatic payments that update access on its own and count user usage with credits. No manual babysitting, just making money.

Key takeaways:

1. Update access automatically after payment
2. Track usage or credits
3. Fix common hiccups with confidence.

By the end, payments will feel solid and usage will be tracked.

In this lesson, we’ll do a friendly home safety check. We lock the doors, close the windows, and add a simple alarm. It’s small fixes that lead to big peace of mind.

Key takeaways:

1. Spot the easy risks
2. Apply quick, high‑value fixes
3. Avoid amateur vibe coding mistakes

By the end, you’ll have safer defaults and a short checklist to reuse.

In this lesson, we will flip the open sign and create a public link. It includes a few guided steps that couldn’t be easier, and you will learn how to get your app live without the fuss.

Key takeaways:

1. Share your project with a public link
2. Follow simple steps to go live
3. Handle small bumps calmly and confidently

By the end, you’ll have an easy process to use Vercel to deploy your app to the world, with real users. Congratulations!