In this video I basically asked a simple question: why do two AI-driven websites with the same features sell differently? And the answer is UI. If your UI looks “highly classified” (clean, modern, premium), people pay. If it’s messy, they think twice. So I tested a workflow that honestly feels illegal: Google Stitch for unique UI generation, Antigravity to turn that UI into real working code, and Supabase to handle the database. I start by connecting Stitch to Antigravity using an MCP server (API key setup, install Stitch skills, and let it generate an implementation plan). Then I prompt it to build a resume builder web app with modern UI principles. Stitch spins up multiple design directions fast, Antigravity builds the app and runs it locally (localhost:5173), and then I iterate—because the first version missed auth and PDF download. After adding login/signup/logout + download, I hook it up to Supabase using the Project URL and anon public key, run the SQL to create tables, and even bypass email verification to test quickly. End result: signup works, resume data saves, PDF downloads, and users show up in Supabase. No team, no manual coding—just prompts and a clean workflow.