Justin Massey: Demo - Building an AI voice agent that answers real customer calls while staying provably on-script.

LLMs are great conversationalists, but can be terrible rule-followers. Point one at a customer call and it'll happily chat, but skip the questions you actually need answered, ask them out of order, or invent a path through your call flow you never intended. Old-school IVR solved determinism by removing the conversation entirely. That's not the trade we want to make.
In this live demo, I'll build an AI voice agent that answers real customer calls while staying provably on-script. You'll see how to constrain an LLM so it collects every required piece of information, asks the right questions at the right moments, and honors your call tree, without collapsing back into a rigid "press 1 for support" menu. The agent still improvises, handles interruptions, and sounds human;it just does so inside guardrails you define.

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