Voice Ai Infrastructure Guide

Lays out the layers of a production voice agent and what each does, from turn-taking to guardrails and observability. Useful as a checklist when evaluating or designing a voice stack, though it is written from a vendor perspective.

• AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
• LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
• MCP — The Model Context Protocol — an open standard that lets any AI assistant plug into any tool or data source without custom integration code.
• guardrails — The checks around a model that block bad inputs and outputs — filters, validators, and permission rules the model itself can't override.

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