Voice AI Agents: Building Speech-to-Speech Apps with TypeScript

Voice AI Agents: Building Speech-to-Speech Apps with TypeScript Voice is the most natural interface for AI. In 2026, speech-to-speech applications are transforming customer service, virtual assistants, and real-time translation. But building voice AI pipelines traditionally requires stitching together multiple SDKs: one for Speech-to-Text (STT), another for LLM inference, and a third for Text-to-Speech (TTS). NeuroLink unifies this entire pipeline into a single TypeScript SDK. In this guide, you'll learn how to build real-time voice AI agents using NeuroLink's streaming architecture. We'll cover speech-to-text integration, streaming LLM responses, text-to-speech synthesis, and practical patterns for production voice applications. Why Voice AI Is Hard (And How NeuroLink Solves It) Building voice applications traditionally involves three disconnected systems: ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ STT API │ → │ LLM │ → │ TTS API │ │ (Whisper) │ │ (Various) │ │ (Eleven) │ └────