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🧠 Project Overview: GPT-4 Coaching Tool Built with RAG Architecture
The UncleMatt.ai project was a powerful and innovative solution designed to deliver personalized, faith-aligned mentoring through a custom GPT-4 chat interface. At its core, this coaching tool uses LangChain’s Retrieval-Augmented Generation (RAG) architecture combined with OpenAI’s GPT-4 API, backed by vector databases like Pinecone or Weaviate.
The project involved full-stack development from scratch using:
- React.js frontend (embedded via iframe or shortcode)
- Python + FastAPI backend
- LangChain for orchestration
- Stripe/Kajabi/Memberstack for authentication & access control
- Vercel + Render/Heroku for deployment
- Integration with Kajabi + WordPress
📦 Milestone-Based Delivery Breakdown
🟩 Milestone 1: Project Setup & Prompt Engineering
- FastAPI and React project initialization
- Integrated GPT-4 API
- Designed a custom system prompt matching Matt’s tone
- Built a basic LangChain setup to test response behavior
🟩 Milestone 2: Chat UI Development
- Fully responsive React chat interface
- Custom branding (logo, avatar, welcome screen)
- UX enhancements: loading states, typing indicator, errors
- Frontend-backend integration via secure API
🟩 Milestone 3: Auth & Paywall Setup
- Stripe/Kajabi integration
- Role-based access control
- Trial period and discount support
- Secure token/session system
🟩 Milestone 4: Vector Embedding & RAG Integration
- Pinecone/Weaviate vector DB setup
- Embedded and indexed documents with LangChain
- Enabled dynamic document-based prompt injection
- Admin interface for document re-uploading
🟩 Milestone 5: Deployment & Kajabi Embedding
- Deployed on Vercel (frontend) and Render/Heroku (backend)
- Configured CORS, routes, and secure .env usage
- Embedded into Kajabi via iframe
- Domain masking on unclematt.ai
- WordPress linking support
🟩 Milestone 6: Testing & Documentation
- QA across devices
- Validation of RAG relevance and GPT output
- Delivered complete:
- Developer documentation
- Admin guide
- Embedding setup (Kajabi + WordPress)
✅ Final Outcome
The completed UncleMatt.ai project met all outlined deliverables:
- ✅ Real-time RAG-powered coaching using GPT-4
- ✅ Seamless Kajabi and WordPress integration
- ✅ Fully responsive and branded frontend
- ✅ Secure auth and paywall system
- ✅ Admin-friendly document upload workflow
- ✅ Complete technical documentation
🔧 Tech Stack
| Layer | Technology |
|---|---|
| Frontend | React.js |
| Backend | FastAPI (Python) |
| AI Engine | OpenAI GPT-4 + LangChain |
| Vector DB | Pinecone or Weaviate |
| Authentication | Stripe / Kajabi / Memberstack |
| Hosting | Vercel, Netlify, Render, Heroku |
| Embedding | Kajabi + WordPress via iframe/script |
🏁 Conclusion
UncleMatt.ai is a real-world example of how AI, when orchestrated thoughtfully with the right tech stack, can deliver meaningful coaching experiences. If you’re considering building an AI tool using GPT-4, LangChain, and RAG — this project sets a proven blueprint.