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 Python and 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.