How to build an AI Startup App in under 20 minutes 🚀🤖 Part 3
Building an AI-Powered Startup App in Under 20 Minutes: A Step-by-Step Guide
At Maiv AI, we specialize in delivering AI-powered MVPs quickly and efficiently. Whether you’re a CTO, founder, or developer looking to integrate AI into your product, we’ve got you covered. In this post, we’ll walk you through how to build an AI startup app in under 20 minutes, leveraging ChatGPT and Supabase. This guide follows the transcription of a recent video from our series, giving you practical insights into launching your own AI-driven applications.
Step 1: Setting Up Your ChatGPT API
To get started, you'll need access to OpenAI’s ChatGPT APIs. Here’s how to do it:
Navigate to the ChatGPT Platform.
Create a new project (in this case, called Project FinWiz).
Generate your API key: Go to the "API Keys" section, create a new secret key, and save it.
In your code repository, set up an environment variable to store this key:
OpenAIAPIKey=YOUR_API_KEY
Step 2: Create a New Route for API Calls
Next, you need to build a route in your app to make API calls to ChatGPT.
In your app's API folder, create a new folder called
openai.Write code to send the prompt to OpenAI using a pre-built library (we’ve provided a Gist in the video).
This route will handle user requests, send the prompt to ChatGPT, and return the AI-generated response.
Step 3: Building the Frontend - Generate Button
Now, it’s time to build the frontend, where users will interact with your app.
In your components folder, create a button called
Generate.When a user clicks this button, the app will send their input to ChatGPT and display the response.
For example, if a user types “How can I manage my mortgage?” into the text box, your app will send this question to ChatGPT, and the AI-generated response will appear on the webpage. This creates an interactive experience where users can receive real-time advice on topics such as personal finance.
Step 4: Capture User Data with Supabase
To take your app to the next level, integrate lead generation by capturing user emails.
Set up a table in Supabase for storing user emails.
Use the SQL editor in Supabase to create a table for leads based on Shipfast’s tutorial.
Implement a row-level security policy that allows inserting data without authentication.
When a user provides their email after interacting with the AI, their data is saved in the leads table for future follow-up, enabling you to build an email list.
Step 5: Deploying Your App with Vercel
Now that your AI app is built, the final step is deploying it for the world to see.
Push your code to a Git repository and connect it to Vercel.
Set up your environment variables on Vercel to match those in your development environment (e.g., OpenAI API key, Supabase URL).
Deploy your app using Vercel’s one-click deployment process.
Within minutes, your AI startup app will be live and accessible online.
Why Building AI MVPs Quickly is Important
At Maiv AI, we believe in empowering founders and CTOs to launch AI products rapidly. With the right tools and guidance, you can integrate AI capabilities into your apps and begin adding value to your users in no time. The ability to prototype and launch AI-driven apps within 20 minutes offers a massive advantage in today’s fast-paced tech landscape.
If you’re ready to transform your ideas into AI-powered solutions, contact us today at Maiv AI. Let’s build something great together.
Boost Your AI App Development with Maiv AI
Looking to build your own AI app? Explore more resources and our full video series on how to create AI-driven applications from scratch.