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In this video, I put Codex 5.3 to the test by building a luxury retail website prototype end-to-end — using nothing but prompts, real backend services, and AI-generated assets. This is not a mockup or static design. Codex generates: ✔️ A full modern storefront UI ✔️ A luxury brand identity (name, logo, visuals) ✔️ AI-generated images and Sora video assets ✔️ A real backend powered by Supabase ✔️ Metadata-rich products designed for AI agents + RAG 🔧 What this demo covers • Using Codex 5.3 inside VS Code and the Codex app • Prompting Codex to design and implement a luxury retail storefront • Generating images and videos using OpenAI image tools + Sora • Connecting product data from a Supabase backend • Structuring product metadata for agent-driven queries • Deploy-ready setup with Vercel MCP integration • Designing an AI concierge that answers real customer questions You’ll see how an AI agent can answer questions like: “Show me men’s shoes under $500 for wide feet” …and return accurate, budget-aware, metadata-driven results — not hallucinations. This demo is about more than just website generation. It’s about how AI agents, RAG, and structured data come together to create meaningful customer experiences in retail. If you’re experimenting with AI-assisted development, agentic UX, or AI-driven commerce, Codex 5.3 is worth a serious look. ⸻ 🔍 High-Intent Hashtags #Codex53 #AIDevelopment #AIWebsite #GenerativeAI #AICommerce #Sora #Supabase #Vercel #AIAgents #RAG