Realtime Voice Agents
Realtime voice agents are the next frontier of conversational AI. Unlike traditional chatbots, voice agents stream audio in both directions simultaneously, detect when you're speaking or silent, let you interrupt mid-sentence, and respond with human-like latency budgets measured in hundreds of milliseconds. This series teaches you how to architect, prompt, and deploy production voice agents from scratch.
You'll learn the core technologies: realtime speech-to-text (STT) and text-to-speech (TTS) APIs that stream continuously, voice activity detection (VAD) to know when the user is actively speaking, turn-taking logic to orchestrate who speaks when, and barge-in handling so users can naturally interrupt. You'll master the latency budget—every millisecond matters when you're talking to a machine—and discover how to invoke tools (like database lookups or API calls) mid-conversation without breaking the flow. By the end, you'll integrate with telephony systems (SIP, PSTN) and deploy a fully functional voice agent to production.
This series assumes you're familiar with LLMs and prompt engineering. Each article is self-contained but builds on prior knowledge. Start with speech API basics, then advance through the real-time mechanics, and culminate in a deployed agent handling live phone calls.
Articles in this series
- Realtime Voice Agents: Introduction to Speech APIs (2026)
- Full-Duplex Audio Streaming: Building Bidirectional Conversations
- Voice Activity Detection (VAD): Detecting When Users Speak
- Turn-Taking in Conversation: Managing Speaker Switching
- Barge-In Interruptions: Let Users Cut Off Your Agent
- Latency Budgeting: Speed Goals for Realtime Voice
- Tool Use During Realtime Conversations: Async Actions
- Telephony Integration: Voice Agents on Phone Networks
- Prompt Engineering for Voice: Conversational Personality
- Deploying a Production Voice Agent: Full Walkthrough