Build a Twilio Chatbot Without Hand-Rolling Dialog State

Twilio provides reliable messaging, voice, telephony, channel delivery, and compliance infrastructure for SMS, WhatsApp, and calls, but it does not provide a full conversational AI layer with durable state, intent understanding, knowledge grounding, evaluation, or cross-channel context. Although tools such as Studio, Functions, and Conversations API can support simple workflows, embedding expanding dialog logic in them often produces difficult-to-maintain flows with limited observability and unreliable handling of unexpected customer requests. A more scalable architecture uses Twilio strictly as the transport layer while routing inbound events through a lightweight webhook to a dedicated agent platform that manages conversation state, retrieval, evaluations, human escalation, and shared logic across channels. Before launching, teams should verify webhook performance under load, cross-channel identity and session continuity, contextual human handoffs, realistic conversation evaluations, and failure behavior when the agent layer is unavailable.

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