I’m putting together a proof-of-concept that proves a single spoken request or tap can connect any user, anywhere, with a verified provider and deliver a confirmed booking in seconds. Communications sits at the heart of this MVP, so every flow must run smoothly across voice, WhatsApp, and an app interface. Here’s the vision: a user speaks into the phone, sends a WhatsApp message, or taps a button in the FlutterFlow-built app. Deepgram handles voice recognition, Google Translate bridges languages, and an AI workflow orchestrated in Emergent Labs routes the request through Vertex AI / Claude 2.1 for intent detection and provider matching. Supabase (with Baserow for lightweight tables) stores profiles and transactions, while Vonage and 360dialog push real-time confirmations back to the user. Mapbox or Google Maps supplies location data, Adyen or Razorpay secure the payment, and Cloudinary or S3 covers any media uploads. Everything must remain GDPR- and DPDP-compliant, authenticated through Supabase Auth or Clerk, and deployed on Emergent Cloud with Vercel / Firebase as needed. Deliverables • A working Emergent Labs orchestration that chains voice recognition, translation, AI routing, data persistence, mapping, and payment into one seamless flow • FlutterFlow (or Bravo Studio) front-end for mobile and web demonstrating the three entry points (voice, WhatsApp, in-app) • Vonage / 360dialog integration sending confirmations and status updates in real time • Supabase/Baserow schema, seeds, and secure auth setup • Deployment scripts or documented Make.com scenarios so I can reproduce the entire pipeline in my own accounts • Short video walkthrough plus README outlining key environment variables, webhooks, and rate-limit considerations Acceptance Criteria 1. A user can complete a booking end-to-end via voice, WhatsApp, and app with the same latency and data integrity. 2. AI correctly recognizes intent, translates when required, and selects an available provider at least 90% of the time in demo scenarios. 3. Payments are authorised in test mode and a receipt is logged back to Supabase. 4. All PII remains encrypted at rest and no secret keys are exposed in the repo. If you’ve already connected AI workflow tools with no-code builders and enjoy wrestling with webhooks, auth flows, and multi-channel messaging, I’d love to see how you’d stitch this together. 1. Initially a end to end POC is required so that we can deploy the app in the IOS & Android 2. We need all documentation and Knowlege sessions recorder video while doing in person face to face 3. All workflows & code should be provided ( preferred git repo) 4. During online session - we will customize the name and try to deploy with different name it should work. 5. Define a framework model so that same solution can work for other projects by these these agent apis or agents.