
Build an ai influencer saas with ChatGPT, Aiden, and Lovable. Learn sign up flows, ai character creation, chat, image workflows, and cloud setup with Supabase.
Explore the agenda to learn how we build an AI girlfriend SaaS, from fundamentals, cloud server setup, domain, and subscriptions to a prototype and extension steps with lovable front end.
Uncover the big picture of building a saas: sign up, free credits, ai influencer creation and chat, paid plans via stripe, on a cloud architecture with nginx and gunicorn.
Explore fundamentals of building a Flask app with Gunicorn and Nginx, manage dependencies in a virtual environment, and understand app routes, environment variables, and basic deployment concepts.
Discover essential course prerequisites and costs for building a SaaS, including GitHub, Norton, super base, stripe, OpenAI playground, replicate, domain hosting, and guided workflow.
Copy my GitHub repo for this course to access all resources, PDFs, codes, and files in the folder structure, then import and explore the branches tailored to each chapter.
Learn the fundamentals of ai basics for building ai agents, including llms, prompting, roles, goals, and common pitfalls like hallucinations and context window limits.
Build a foundation in IT basics to follow the course and use ChatGPT to generate Python code, understand programming languages, syntax, and debugging without full mastery.
Explore data types in code, including strings, integers, booleans, and lists, and learn why providing the expected type prevents errors and enables reliable calculations.
Learn how JSON, a four-type, valid data format, stores and exchanges data via APIs and webhooks, and why exact syntax matters.
Learn how variables act as label boxes that store data, with a name and value, such as username equals Dominic, enabling flexible reuse and easy data storage and code scalability.
Explore how logic drives coding decisions by translating natural language into computer readable rules. See a Python example using a boolean variable and if-else to model conditions and outputs.
Learn how loops let code repeat a task automatically until a condition is matched, running as many times as JSON array elements and applying logic to each.
Discover how Python makes AI agent building accessible through readable code. Use Python for calculations, data transformations, and connecting web apps in no-code AI agent builders.
Learn how APIs and webhooks exchange data between apps, with post and get requests driving the AI agent and webhooks triggering data from sources like a Google Sheet.
Define input and output variables and data types, then use ChatGPT to generate Python scripts. Craft prompts that transform data formats for precise outputs in ai agent tools.
Understand Java as a versatile language for apps and Android apps, with rules that reduce errors. Learn HTML as the web page structure language that tells browsers what to show.
Learn to set up a Vultr cloud server for hosting web apps or a SaaS, selecting location and resources, deploying Ubuntu 22.04, and accessing the server.
Log into your cloud server from the terminal with ssh root@your_ip and enter the password to access and manage files; use Cyberduck for visual file management.
Discover how to move the cursor precisely within a file opened in the terminal using the mouse wheel or arrow keys to safely edit text and avoid misplacing content.
Self-host n8n on your cloud server using Docker. Configure domain, firewall, and secrets, obtain a Let's Encrypt certificate, then start a persistent 24/7 SaaS-ready automation instance.
Learn how to buy and use your own domain for your ai influencer SaaS, including checking availability and using subdomains for hosting.
Connect your domain to your server by configuring two DNS records: an A record pointing to your IP and a CNAME ensuring both the domain and www are reachable.
Set up a supabase database for a SaaS by pasting a ChatGPT generated SQL script to create tables and security rules, enabling user accounts and data like messages and images.
Customize the Supabase confirmation email by editing the HTML template to match your branding, previewing in authentication emails, and preparing go-live with a transactional email provider.
Set up a Stripe test account, switch to test mode, create a subscription product, copy price IDs and API keys, and configure webhooks and a customer portal for SaaS payments.
Set up the live prototype of a SaaS app on your cloud server by building a Flask backend with static html, enabling sign up, and configuring Nginx for HTTP service.
See how to instruct ChatGPT to set up a Supabase database, Stripe subscriptions, and DNS, then craft a minimal Flask app with signup, login, and a Pro dashboard.
Create a working prototype of the signup and login flow for an AI influencer SaaS, setting up the server, nginx, SSL, and a 24/7 service before integrating payments and features.
Set up a cloud server for the first saas prototype by configuring ssh access, folder structure, dependencies, and deploying the app with nginx and certbot.
Test the first SaaS prototype by signing up, confirming email via Supabase, logging in to a dashboard, and upgrading to Pro through Stripe test mode, validating signup and subscription flow.
Sign up, verify email, and access a dashboard to create ai influencer via workflow using supabase, a flask app, and webhooks that generate a base prompt and image with replicate.
Import and configure the ai influencer workflow in n8n by switching to the extension branch, obtaining the production webhook URL, and linking OpenAI and replicate credentials to enable image generation.
Advance your AI influencer SaaS by performing server adjustments, updating Supabase, and uploading the new dashboard files, including database updates and app restart for testing.
Log in to the SaaS, configure a sweetheart with name, bio, and work-in-progress prompts, chat with the influencer, and generate the initial AI influencer image to test the new feature.
Explore the ChatGPT-driven approach to building correct credit management for a SaaS that creates AI influencers, detailing one-time initial influencer creation, free and pro credit rules, and monthly resets.
Implement credit management for the SaaS by updating the Supabase database with subscription period start and end, switching to app.py, and testing credits from free to pro with stripe checkout.
Do you want to launch your own AI-powered SaaS — even if you’ve never coded before?
In this course, you’ll learn step by step how to build a fully working AI web application using ChatGPT, n8n, Supabase, and Lovable. Our example project is an AI Girlfriend platform where users can create characters, chat, and even generate images — a hot topic that perfectly demonstrates the full SaaS process.
But here’s the key: this isn’t just about copying one project. You’ll learn the repeatable framework for building anyAI SaaS. Along the way, I’ll share the exact prompts I used with ChatGPT, plus my thought process, so you can adapt everything to your own unique idea.
No coding skills required — ChatGPT generates all the scripts for you.
Beginner-friendly — I’ve added extra chapters covering AI, IT, and n8n basics (skip them if you’re advanced).
Practical & efficient — no fluff, just clear steps that get you results fast.
By the end of the course, you’ll know how to:
Set up your own cloud server
Run n8n for free
Connect a Supabase database
Automate chat and image generation with n8n workflows
Build a clean, modern frontend with Lovable
Use ChatGPT as your coding partner to create and adapt real-world applications
If you’ve ever dreamed of creating a platform where users pay monthly for access — but thought it was impossible without being a programmer — this course will show you how achievable it really is.
Whether you want to launch your own SaaS business or just gain valuable modern skills in AI and automation, this training gives you everything you need.
Enroll today, and start building your own AI SaaS from scratch!