ai-voice-agent

To build an AI voice agent, you orchestrate Twilio media streaming with low-latency speech to text, an LLM for function calling, and text to speech. This enables inbound call automation by managing conversational state per session to resolve tier-1 support without human operators.

Automating outbound cold-call qualification requires an AI voice agent that runs conversational discovery and scores leads naturally. By leveraging LLM function calling and orchestrated conversation state, the agent qualifies leads and schedules next steps over the phone.

Real-time STT and TTS integration is fully supported for phone calls. The pipeline streams Deepgram for speech to text and ElevenLabs for text to speech over Twilio media streams, meeting strict latency targets for natural conversational responses.

You can replace your existing IVR system with a production AI phone agent. It answers FAQs, routes requests intelligently, and handles tier-1 support calls by understanding callers and taking actions to complete tasks without human operators.

AI voice agents handle caller interruptions using robust failure mode management within the orchestrated conversation state. The real-time voice pipeline detects interruptions during the STT and TTS streaming process, ensuring the agent responds naturally without talking over the caller.

Twilio media streaming is required to deploy these production AI voice agents. It provides the real-time telephone audio pipeline necessary to bridge low-latency STT and TTS integration, enabling the agent to handle actual telephone conversations and complete business tasks.