Tech Events & Workshops

Join us for a practical, business-focused session on building a **voice agent** that can answer calls, collect useful information, and trigger real workflows behind the scenes. Voice AI is moving quickly from demos into real business operations. In this session, we'll look at how to connect a conversational voice layer to a backend and an event-driven workflow so your agent can do more than talk: it can capture leads, record context, publish events, and kick off follow-up actions. ## What We'll Cover - **Vapi for Voice Agents:** Build a real-time voice assistant for web or phone conversations, handle call events, and connect the agent to custom tools and backend APIs. - **Supabase as the Business Backend:** Use Postgres, Auth, Realtime, and Edge Functions to store customer context, call outcomes, transcripts, and structured lead data. - **Google Cloud Pub/Sub for Async Workflows:** Publish call events to topics so downstream services can process notifications, analytics, CRM sync, and follow-up tasks without blocking the conversation. - **End-to-End Business Flow:** Map an inbound conversation into a durable workflow: greet the caller, qualify the request, save the data, and trigger the next business action. - **Reliability & Human Handoff:** Discuss logging, retries, acknowledgements, escalation paths, and where a voice agent should stop and hand the conversation to a person. ## Session Flow - Architecture walkthrough: voice layer, backend layer, event layer - Vapi assistant setup and tool-calling strategy - Supabase schema and Edge Function integration - Publishing business events through Google Cloud Pub/Sub - Practical discussion: what makes a voice agent useful, safe, and maintainable ## Perfect For - Business owners exploring AI-powered customer workflows - Developers building voice, automation, or backend integrations - Teams interested in lead capture, appointment routing, support intake, or call automation - Anyone curious about connecting AI agents to real production systems Whether you're new to voice agents or already experimenting with AI automation, this session will give you a practical mental model for building a voice workflow that fits real business needs.

Join us for a comprehensive session on **Agent Development Kit (ADK)** and **Firebase Studio**! 🚀 In this event, we'll dive into the ADK, learning how to set up and deploy LLM-based agents using Python, explore the creation of parallel agent workflows, and demonstrate the process of containerizing and deploying agents in the cloud. If time permits, we'll also get hands-on with Firebase Studio to prototype an app! What to expect: - Introduction to the key features and use cases of ADK - Step-by-step guide on installing and setting up a basic agent - Techniques to run multiple sub-agents concurrently - Live demos on deploying agents and containerization - Optional exploration of Firebase Studio for enhancing application productivity - Sample code, demos, and Q&A sessions for deeper insights Don’t miss this opportunity to boost your AI development skills and explore the future of productive computing! 😎🐍