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Agents That See and Speak: Building voice and multimodal AI agents with realtime APIs, vision, and speech pipelines
Paperback
Series: Applied LLM Engineering, Book 12
Publisher: Independently Published
Published: Jul 29 2026
Pages: 82
Weight: 0.27
Height: 0.17 Width: 6.00 Depth: 9.00
Language: English
Voice AI has crossed the demo-to-production threshold. Realtime speech-to-speech models, sub-second time-to-first-audio, and mature telephony middleware now make phone-grade conversational agents achievable for any serious engineering team. Agents That See and Speak is your comprehensive, end-to-end guide to designing, building, and deploying production-grade voice and vision AI systems that scale.
- Latency Budgets: Build a concrete latency budget targeting sub-800ms time-to-first-audio using off-the-shelf components.
- Architectures: When to choose realtime speech-to-speech APIs (like OpenAI Realtime and Gemini Live) versus cascaded STT-LLM-TTS pipelines.
- Turn-Taking & Barge-In: Implement robust endpointing, Voice Activity Detection (VAD), and barge-in algorithms that make conversational flows feel human.
- Multimodal Systems: Integrate camera feeds, live screen shares, and video streams into the realtime conversational audio loop.
- Telephony Engineering: Connect your agents to the public phone network using SIP, PSTN, Twilio, Telnyx, LiveKit, and Pipecat.
- On-Device Voice: Run local voice agents utilizing Apple Neural Engine, Google Tensor, and Qualcomm NPUs.
- Evaluation & Safety: Learn LLM-as-judge, automated latency metrics, and adversarial red-teaming.
Packed with concrete latency benchmarks, real-world APIs (Deepgram, ElevenLabs, Vapi, Retell), and production-tested architectures, this guide is written specifically for AI engineers, product developers, and conversational AI specialists who want to ship voice agents that work, not just demo well.
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