AI Form Builder Application

Jun 28, 2024

AI Form Builder Application Lecture Notes

Overview

  • Developing an application that can generate forms using AI
  • Creation of an admin dashboard for tracking forms and results
  • Settings page for managing subscriptions
  • Deployment and adding analytics using Drizzle ORM

Key Features

  1. Form Generation using AI:

    • Users describe the form they need via a text area.
    • Sends a request to OpenAI API to generate form content.
    • Parses response to create a publishable and shareable form.
  2. Admin Dashboard:

    • Track existing forms and create new ones.
    • View the results of forms.
    • Settings Page to manage subscriptions:
      • Free plans can create up to three forms.
      • Option to upgrade to a premium plan for more forms.
  3. Deployment and Analytics:

    • Deploy the application.
    • Add analytics to track usage and custom events.

Tools and Libraries

  • Next.js: Project setup with TypeScript, Tailwind CSS, Source directory, and app router.
  • OpenAI API: For generating form content.
  • Drizzle ORM: Interacting with the database.
  • ShadCN: UI component library used within the application.
  • Stripe: For managing subscriptions and payments.
  • Plausible Analytics: For tracking user interactions and page views.

Technical Steps and Implementation

Project Setup

  • Initialized project using npx create-next-app.
  • Selected configuration options: TypeScript, ESLint, Tailwind CSS.
  • Added ShadCN UI library and configured with TypeScript and Tailwind CSS.
  • Set up global CSS and customized theme.
  • Created initial components and setup file structure.

Form Generation Feature

  • Popup with text area for form description.
  • On submit, make API call to OpenAI to generate form content.
  • Parse response and construct a form to be shared.
  • Added integration with OpenAI API and handling parsing.

Admin Dashboard

  • Created page to track forms and their results.
  • Included a settings page for subscription management.
  • Defined user access restrictions based on subscription status.

Authentication and Subscription

  • Implemented authentication using NextAuth (Google Provider).
  • Created user session and state management using hooks and providers.
  • Integrated Stripe for subscription management.
  • Created API routes for handling subscriptions.
  • Implemented Stripe webhooks and customer portals.
  • Developed frontend and backend logic for subscription and payment handling.

Database Setup

  • Set up schema and relations using Drizzle ORM.
  • Defined tables for user, sessions, accounts, and tokens.
  • Added tables for forms, questions, and form answers.
  • Handled database interactions for creating and storing forms and their responses.
  • Managed database migrations and changes.

Deployment and Analytics

  • Deployed application using Vercel.
  • Configured environment variables and redeployed with updates.
  • Integrated Plausible Analytics for tracking user interactions.
  • Implemented tracking events for key user actions (e.g., creating a form).

Challenges and Solutions

  • Handling AI outputs and parsing responses.
  • Managing Stripe customer IDs and subscriptions adequately.
  • Implementing secure routes and avoiding unauthorized access.
  • Ensuring database migrations align with schema requirements.

Review and Conclusion

  • Successful form generation using AI integration with OpenAI API.
  • Smooth user and form management through an admin dashboard.
  • Effective handling of subscriptions and payments with Stripe.
  • Deployable and analytics-integrated application using modern libraries and best practices.

Explore More: Next.js, Plausible Analytics, Stripe Documentation.