How I Built a $50,000/Month AI Study App Without Writing Any Code

This revolutionary AI app from the app store is making over $50,000 every month, and I copied the entire app without having to write one single line of code.

Building a profitable AI app without coding skills might sound impossible, but with the right AI tools, anyone can create a lucrative application in just a few hours.

To demonstrate this powerful concept, I created an AI-powered study app that’s essentially a legal clone of Gizmo AI flashcards, replicating all their features and even connecting it to Stripe to receive payments immediately.

All of this was accomplished using just one AI coding tool called Replet, which handled the entire development process from start to finish.

The process included legally replicating Gizmo’s proven design and features, utilizing the AI tool for all coding requirements, and setting up Stripe integration to monetize the app from day one.

This comprehensive guide walks through the entire process of building a profitable app with AI, providing all the necessary steps to get started on your own money-making application.

Let’s explore how anyone can build their own successful AI app without programming knowledge.

We strongly recommend that you check out our guide on how to take advantage of AI in today’s passive income economy.

Getting Started with Replet AI

Setting Up the Foundation

The AI tool that we’re going to use is Replet, which offers full access to the Replet agent with a 10% discount using the code “Mikey”.

Before diving into the smart AI features, every app needs a solid foundation, starting with a crucial element: a login system.

Instead of building this manually, Replet AI can be guided to create it step by step through simple prompts.

The process begins by typing the first prompt: “build an AI powered study app for mobile applications, I’ll provide the features. First, let’s start with a login page.”

Replet waits for more direction, which is perfectly fine as we don’t want to overwhelm it immediately.

The follow-up prompt “Go ahead and proceed with the first feature first and create the login page” initiates the process after checking the “build the initial prototype” box and hitting “approve plan and start.”

Replet quickly generates a clean login screen with fields and a nice layout, exactly what we need.

However, when trying to click in the username field, it doesn’t allow typing, requiring another prompt: “I still can’t type on the username bar and also add a database for it.”

This fixes the issue quickly, making the field functional and connecting the login system to a backend database.

Testing the account creation reveals another error, which is communicated to Replet: “I tried creating an account and this error occurred” followed by the error code.

After this adjustment, the entire flow works seamlessly – users can sign up, log in, and their data is properly stored in the system.

However, Replet added a preview of all the app’s features directly on the login page, which isn’t ideal for user experience.

A simple prompt fixes this issue: “Great, the login page is all done now, although the overview of the features should not be in the login page, so create a landing page and put all that stuff in there.”

Replet moves the content to a separate landing page, resulting in a much more polished appearance and improved user flow.

Logging out and back in confirms everything flows cleanly, providing essential functionality: a working login system, a proper landing page, and a solid foundation for the AI-powered study app.

Building Core Functionality

Creating the Dashboard and Study Features

Once inside the app, it’s time to develop the actual study features, beginning with the dashboard.

Clicking the “Go to Dashboard” button initially does nothing, requiring the prompt: “The Go to Dashboard button is not working, please fix it.”

After this is resolved, the next step is testing the flashcard feature through the “Create Study Sets” menu.

An error appears immediately, requiring another prompt: “I tried using the flashcards feature and this error occurred,” followed by pasting the error code.

Replet resolves the issue, making the flashcard generator responsive as it should be.

Generating sample cards shows the AI handles content generation smoothly, but saving them doesn’t work properly, necessitating another fix: “The study sets that I created were not being saved.”

Testing and Debugging Flashcard Functionality

After solving the saving issue, testing continues by opening one of the saved sets and attempting to answer a flashcard.

Another bug appears, requiring the prompt: “I tried to answer on my saved flashcard and this error,” followed by the error code.

Once resolved, answering flashcards works correctly, and everything becomes connected – creating, saving, and studying – completing the core functionality cycle.

It’s worth mentioning that Replet allows building unlimited apps and deploying them to the public, making it a valuable tool for aspiring app developers.

Transforming from Basic Tool to Study Companion

At this point, the app performs its basic functions with live and functional flashcards, but it still feels like a rough draft.

The goal is to transform it from a simple tool into a proper study companion – something flexible, smart, and enjoyable to use.

To build this next layer, the prompt “Now add these particular features” introduces several enhancements: customizable decks and better organization, rich content support, and progress tracking with analytics.

Customizable decks allow grouping flashcards by topic or subject, making content management much more efficient instead of having everything in one disorganized pile.

Rich content support expands beyond plain text, recognizing that different people learn in different ways – some need visuals, others benefit from bolded key terms, bulleted points, or code snippets.

Progress tracking and analytics add substantial value by providing data on study habits and areas needing improvement, transforming the app from a digital notepad into a feedback loop that promotes smarter learning.

Enhancing the User Interface

These features shouldn’t be buried deep in the interface but should be immediately visible, leading to the prompt: “Add these features on the landing page and make it more visually appealing for the users to show what kind of features our study AI app has.”

This refreshes the landing page with a cleaner layout and clearer breakdown of the app’s offerings, creating something users would actually want to sign up for.

Testing the Progress menu reveals a 404 error, which needs fixing, and there’s no easy way to return to the landing page from the dashboard.

A simple prompt addresses this: “Create a button on dashboard page that will redirect users to the landing page,” resulting in cleaner navigation and a more polished feel.

In the flashcard section, answering cards means typing into a blank field, which isn’t ideal for guided learning.

The solution comes with the prompt: “Make the answer multiple choices or a true/false method for our users to understand,” instantly making the flashcard experience more interactive and digestible.

Advanced Features and Polishing

Implementing Progress Analytics

After completing a full flashcard set and checking the progress tab, no data appears, requiring another prompt: “I finished one of the flashcards that I created but it didn’t show the progress analytics here.”

Replet fixes this, enabling real-time analytics updates that show which cards were completed, how many were correct, and progress toward completing a set.

At this stage, the app isn’t just usable but feels solid, with a smoother experience, smarter features, and behavior that encourages consistent use.

Refining the User Experience

Although the app is functioning well, there’s still room for improvement to polish the experience, refine what works, and enhance features needing more depth.

The prompt “The mobile AI study app should contain the following” introduces several upgrades, starting with enhanced flashcard generation that handles multiple content types – text, PDFs, links, and images.

This requires specifying: “Create flashcards from text, PDFs, links, or images, automatic extraction of key concepts and conversion to a Q&A format.”

Since this uses OpenAI, Replet requests an API key, which once provided, enables testing of URL-based flashcard generation, confirming everything works properly.

Next comes spaced repetition, customizable decks, and organization, all of which are implemented through prompts and brief testing.

While saving a new flashcard, an issue arises where it redirects to the landing page instead of the dashboard, fixed with: “After saving flashcards it redirects to the landing page instead of the dashboard, please fix it.”

Additional problems are addressed methodically: the non-functional “See All” button on the dashboard, progress indicators not updating after studying, and adding options to edit or delete study sets.

Flashcard choices are made more challenging and better thought out, improving the learning experience.

Expanding Rich Content Support

Rich content support is expanded to allow users to add images, audio, PDFs, and formulas, and create multi-sided flashcards for layered learning.

Testing confirms everything works properly – users can upload files, switch between sides, and build deeper, more dynamic cards.

Progress tracking and analytics are enhanced to include session history, most used decks, and statistics on strengths and weaknesses, with the progress menu showing session counts, top decks, and a clean progress bar for card completion.

Account settings initially don’t work, requiring the prompt: “Fix and activate the account settings functionality,” which enables users to edit their profile information and manage settings properly.

Testing PDF uploads for flashcard generation reveals another error, addressed by taking screenshots and sending them to Replet, which eventually resolves the issue.

Monetization and Final Touches

Implementing Stripe Integration

With all core features in place, it’s time to introduce monetization while keeping the app accessible at a basic level but requiring payment for premium features.

A Stripe-powered paywall provides a clean solution, initiated through Replet’s Stripe integration process.

This requires two keys from the Stripe dashboard – the secret key and the public key – found under Developer > API Keys.

After copying these into Replet, the payment system setup is ready for implementation.

Enhancing the Subscription Experience

To improve user experience, a visual indicator showing whether a user has an active subscription is added with the prompt: “Create an indicator or a button on the dashboard page so users can see if they’re subscribed or not.”

This eliminates confusion by making it immediately clear whether premium features are accessible or still locked behind the paywall.

Testing the complete subscription flow reveals some errors during checkout, addressed using screenshots to pinpoint issues, which Replet quickly resolves.

Once everything is fixed, the entire process becomes smooth and user-friendly – subscribers simply tap “Subscribe,” enter their payment details (credit card or other supported methods), and gain instant access to all features.

There are no redirects or friction, just a clean, secure Stripe integration embedded seamlessly into the app.

Conclusion

The result is a complete AI-driven study app built feature by feature without writing a single line of code.

It includes smart flashcards, progress tracking, media support, and a fully functional payment system, all created by communicating with an AI agent.

This represents just the beginning – the app can be tweaked, scaled, branded, and customized according to individual vision and requirements.

The possibilities are limitless, limited only by imagination and creativity.

This approach to app development demonstrates how AI tools like Replet are democratizing software creation, allowing anyone to build profitable applications without programming knowledge.

With these powerful AI tools now widely available, the barrier to entry for app development has been dramatically lowered, opening opportunities for entrepreneurs and creators of all backgrounds.

We strongly recommend that you check out our guide on how to take advantage of AI in today’s passive income economy.