Build an AI Web App with OpenAI's GPT-3: Full SaaS Tutorial

Set up your development environment by installing Node.js and npm, Visual Studio Code with extensions like dot env, and configure GitHub Desktop and MongoDB for the Udemy SAS project.

Set up the backend for a sas app by creating server.js and a config file, and installing express, mongoose, body-parser, and dotenv on port 4242.

Set up a MongoDB database for your sas application, create the cluster on the free tier with Azure, and configure the MongoDB uri while securing credentials in the ignore file.

Set up the frontend by creating a client directory, installing React and routing tools, and running the app on localhost:3000. Install Material UI and icons to speed UI development.

Learn to implement backend user authentication with a Mongoose user model, bcrypt password hashing, and JWT-based access and refresh tokens, including sign-up, login, and logout routes using cookies.

Integrate front-end and back-end authentication with login and register pages built on React Router and Material UI. Handle forms with Axios calls, store the auth token, and enable log out.

This lecture guides you to integrate OpenAI into a SaaS app by installing the npm package, creating and loading an OpenAI API secret, and wiring a controller to make requests.

Build an ai text summarizer by integrating the Open Eyes API, configuring completions, tokens, and temperature to generate concise summaries from user-provided text.

Learn to generate a paragraph using OpenAI text generation, build a paragraph generator screen, and integrate navigation and API calls to produce concise, topic-based blurbs.

Generate JavaScript code with an Open Eyes API converter, building a JavaScript converter screen and a JS convert route that displays code in a pre tag.

Generate sci fi images with OpenAI and integrate them into your web app using a dedicated image generator route, image tag, and 512 by 512 square outputs.

Strengthen user authentication with cookie parsing, refresh tokens, and a JWT-based protect middleware, then implement client-side refresh checks and logout logic in preparation for integrating Stripe later.

Integrate Stripe into a saas app by configuring keys, loading Stripe, and building a subscription checkout session with a price ID. Learn frontend and backend integration and test mode setup.

Integrate stripe web hooks to handle checkout session completions, payment outcomes, and subscription updates, updating user records and metadata in your ai web app.

Integrate Stripe billing portal into the app by creating a portal session from the customer ID and redirecting users to the billing page; webhooks update subscriptions on renewal or expiry.

Learn code cleanup for deployment by implementing protected routes and subscription checks, wrapping routes with a normal wrapper, and streamlining error handling to reduce API calls and guard access.

Deploy a full stack AI web app to Azure by configuring app services, Linux East US, Node version checks, GitHub actions, environment variables, 8080 port, and production front-end build.

Enable application insights and configure backend and frontend integrations, set instrumentation keys and connection strings, install packages, and monitor failed requests, server response times, and user sessions in Azure.

Buy a Google domain, link it to your app by configuring Azure domain verification and DNS records (A and TXT), then deploy app on Azure with Stripe and GPT-3 prompting.