How to Build a SaaS MVP Using AI — A Practical Lovable.dev Guide

Have you ever dreamed of creating your own web application without any programming knowledge? Today I’ll show you how to build a fully functional SaaS application in just a few hours using only artificial intelligence.

Finding a Real Problem to Solve

Instead of inventing another “revolutionary” app, I decided to look for actual market demand. While browsing offers on Upwork, I found an interesting posting — a client needed a platform for young athletes where they could showcase their skills to talent scouts.

This was the perfect starting point — a real problem, a concrete client, clear requirements.

Step 1: Expanding the Idea with AI

The initial posting was quite general, so I used Grok (the chatbot built into X/Twitter) to develop the concept further. I asked it about potential functionalities for such an application.

AI suggested a range of features:

• Athlete profiles with basic information
• Video section for uploading highlights and training sessions
• Photo gallery from competitions and achievements
• Statistics — performance metrics, achievements, rankings
• Search system for scouts
• Built-in messaging system

However, this was too much for an MVP. I asked the AI to limit the features to the absolute minimum needed for concept validation.

Step 2: Preparing the Product Requirements Document (PRD)

Next, I asked AI to create a PRD — a document describing all product requirements. But not just any PRD — one that would serve as a prompt for the app-building tool.

Key information to include:

• Integration with Supabase database
• Ability to upload videos directly to the server
• Internal messaging system (instead of emails)

Step 3: Generating the Application in Lovable.dev

Lovable.dev is a competitor to Bolt.new — a tool that creates complete web applications based on natural language descriptions. I simply pasted the prepared PRD and hit Enter.

Within minutes I received:

• Professional landing page
• Registration and login system
• Basic panels for athletes and scouts
• Responsive design

Step 4: Iterative Improvements

The real magic began during testing and improving the application. I solved each problem through simple conversation with AI:

Problem: Blue color didn’t fit the sports theme Solution: “Change the color to green, more appropriate for athletics”

Problem: No database integration Solution: “I want to integrate the project with Supabase database”

Problem: Profile photo upload wasn’t working Solution: “Fix the photo adding function in the profile”

Step 5: Building Key Features

Athlete Panel

• Profile with basic data (age, sport, position, team)
• Upload and playback of videos with highlights and training
• Statistics with editing capability
• “Recent Updates” section from competitions
• Messaging system from scouts

Scout Panel

• Scout profile with logo and information
• Advanced athlete search with filters
• Video browser for all athletes
• Contact system with athletes

Key Takeaways from the Project

1. Simplicity is Key

MVP is not the place for all fancy features. Focusing on core value allowed for quickly creating a working product.

2. Iterative Approach Works

Instead of trying to create the perfect application in one go, I solved each problem gradually. Test → find bug → fix → test again.

3. Context Matters

Preparing a good PRD was crucial. AI needs clear, detailed instructions to create what you actually need.

4. Monitor Changes

AI sometimes introduces unnecessary changes. It’s important to check each modification and roll back to previous versions when something goes wrong.

Technical Details

Tools Used:

• Grok — for planning and preparing PRD
• Lovable.dev — for generating and modifying code
• Supabase — as backend and database
• React — frontend framework (automatically generated)

Implementation Time: approximately 4–5 hours of actual work

Summary

Creating a SaaS MVP without programming knowledge is no longer science fiction. Thanks to AI tools, you can go from idea to working product within a single day.

The key to success is:

• Finding a real problem to solve
• Preparing a good plan (PRD)
• Iterative approach to development
• Patience in testing and fixing bugs

This application for young athletes is just the beginning. The next step would be testing it with real users, gathering feedback, and further development based on actual needs.

Are you ready to create your first application with AI assistance?