Build a Multi-Channel AI Agent

Building production AI agents means solving infrastructure problems before writing agent logic. Channel integration requires webhook handlers, WebSocket servers for voice, session management, and memory persistence. Multi-channel support multiplies this work across web, voice, and SMS, plus synchronisation to preserve conversation context. Middleware can eliminate this complexity by providing a unified interface to communication channels with built-in conversation memory. Developers implement agent logic while the middleware manages webhooks, connections, and state across channels. In this workshop, you'll build and deploy a multi-channel agent using Twilio Agent Connect (TAC) with OpenAI (bring your own API key). The agent will handle voice, SMS, and web interactions with shared context. You'll gain hands-on experience with middleware patterns, understand architectural tradeoffs, and learn when these solutions reduce development overhead versus building custom integrations.