Learn how to create a complete AI-powered restaurant voice receptionist with OpenAI Realtime API, reservation management, and email confirmations using Lovable Cloud. Build a production-ready AI restaurant receptionist with real-time voice conversations, automatic reservation booking, and email confirmations - all in one comprehensive implementation.

Learn how to create a complete AI-powered restaurant voice receptionist with OpenAI Realtime API, reservation management, and email confirmations using Lovable Cloud. Build a production-ready AI restaurant receptionist with real-time voice conversations, automatic reservation booking, and email confirmations - all in one comprehensive implementation. Key Notes - Complete frontend with 4 pages: Live Demo, Conversations, Reservations, Settings - OpenAI Realtime API integration with WebRTC for voice - Database schema: agent_config, conversations, messages, reservations tables - Edge functions for session management and email confirmations - Function calling for creating reservations from voice conversations - Automated email confirmations using Resend API - Dark theme with lime green accents and audio visualizations The Prompt Sequence Follow these prompts in order to recreate the app. Copy any prompt to use it. 1 Complete Restaurant AI Voice Receptionist Implementation Context: This is a comprehensive single-prompt implementation that recreates an entire AI restaurant voice receptionist application from scratch. Copy >>> Create a complete AI restaurant receptionist application with voice calling capabilities via Twilio and real-time web demo. This app should work immediately after setup. CRITICAL: Getting Your Twilio Edge Function URL After this prompt completes, you'll get an edge function URL that looks like: https://[YOUR-PROJECT-ID].supabase.co/functions/v1/twilio-voice/twiml You need to configure this URL in your Twilio phone number settings: Go to Twilio Console → Phone Numbers → Active Numbers Select your phone number Under "Voice & Fax" → "A CALL COMES IN" Set to "Webhook" and paste: https://[YOUR-PROJECT-ID].supabase.co/functions/v1/twilio-voice/twiml Method: HTTP POST