FULL-STACK SAAS DEVELOPMENT WITH Next.js, Supabase, and Groq AI: A Real-World Case Study

How to Build, Deploy, and Launch a Fully Functional AI-Powered SaaS Product from Idea to Live URL

De: Applied AI Engineering Group

Narrado por: Virtual Voice

Build a Real AI-Powered SaaS Product. Ship It. Launch It. From Zero.

This is not a sanitized tutorial where everything works on the first try. This is a documented real-world build — every decision, every error, every workaround, and every fix, exactly as it happened.

Follow the complete development of AI Engineering Copilot, a fully functional SaaS platform for electrical contractors powered by Groq AI and Next.js 15 — built from idea to live production URL in a single session.

You will build: A secure multi-user app with email auth and Row Level Security • An AI proposal generator producing NEC-cited technical proposals in seconds • A NEC Article 220 load calculator • An AI-powered code assistant with cited answers • A live production deployment on Vercel.

The complete free stack: Next.js 15 • Supabase (PostgreSQL + Auth) • Groq AI (LLaMA 3.3 70B — 14,400 free requests/day, no credit card) • Vercel • GitHub. Total cost: $0.

What makes this book different: The Google Gemini API that returned "limit: 0" on every model. The TypeScript build error that blocked deployment. The git repository initialized in the wrong folder. The CVSS 10.0 security vulnerability that triggered a Vercel deployment block. Every obstacle is documented with its exact solution — because this is what building software actually looks like.

Also includes: A complete AI SaaS guidelines appendix (architecture, prompt engineering, security, cost management) and a full SaaS technology stack reference covering 18 categories with free and paid pricing for 80+ tools and monthly cost scenarios from $0 to $2,000+.

If you want a tutorial that ends at a live URL — not just a code editor — this is the book.