ElevenLabs guide explains building an AI voice assistant from speech, LLM and TTS parts
Overview
ElevenLabs publishes a guide on building an AI voice assistant by linking speech-to-text, a large language model and text-to-speech into one real-time pipeline.
The guide recommends keeping round-trip response time under 500 ms using voice activity detection, requiring verbal confirmation before the assistant takes actions, and handing off emotionally charged or complex queries to a live agent. It also compares building directly on raw ElevenAPI calls with using ElevenLabs' managed ElevenAgents platform. The guide comes from ElevenLabs' own blog, so its recommendations are the company's own.
Written by AI from the articles below · updated Oct 27, 8:45 PM ET
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- ElevenLabs BlogOfficialHow to build an AI voice assistant with ElevenLabs tools
AIElevenLabs explains how to build an AI voice assistant by connecting speech to text, an LLM, and text to speech into one real-time pipeline. It recommends keeping round-trip response below 500 ms with voice activity detection, requiring verbal confirmation for actions, and handing off to a live agent for emotionally charged or complex queries. The guide also compares building from raw ElevenAPI calls with using the managed ElevenAgents platform.
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