How to build full stack AI apps with a visual backend (complete guide)

This video is sponsored by Xano. Try Xano here: https://go.xano.co/3NSyIxn Learn how to build full-stack apps using Xano as the backend with database, API logic, and AI agents all managed visually. In this comprehensive tutorial, I'll show you the complete process from creating a Xano workspace to deploying a working AI chat app with user authentication. You'll see how to use Cursor to write XanoScript that builds your backend, then visualize all the logic in Xano's dashboard. Something you can't do with pure code. Finally, we'll connect a Lovable frontend to create a complete, production-ready app. This tech stack keeps you on the cutting edge of AI app development. What You Will Learn - Building a full-stack AI chat app with Xano backend + Lovable frontend - Setting up Cursor with the XanoScript extension to write backend code - Creating AI agents in Xano with custom models and system prompts - Visualizing your backend logic on Xano's canvas (unlike pure code tools) - Building database tables, API endpoints, and user authentication - Testing APIs directly in Xano dashboard before connecting frontend - Connecting Lovable to Xano using Swagger documentation URLs - Real debugging workflow: fixing authentication tokens and conversation flows - Understanding when to use Xano's visual editor vs writing code - Examples of extending this: adding tools to agents, CRM integrations, custom workflows CHAPTERS: 00:00 Setting Up the Workspace in Xano 02:21 Connecting Cursor to Xano 02:46 Building the Backend with Cursor 06:28 Creating and Testing the AI Agent 18:23 Building the Frontend with Lovable 21:39 Final Testing and Conclusion