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Architecture, latency, and what breaks in production — technical writing for the people actually shipping voice agents on real phone lines.
15 SEPTEMBER 2026
Building a Custom AI Phone Agent for Real-time Interaction
This article details the technical architecture and challenges involved in deploying a custom AI model to answer phone calls in real-time. Readers will understand the integration of speech-to-text, text-to-speech, and telephony to create responsive conversational agents.
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Integrated Platforms vs. Modular APIs for Real-time Conversational AI
This article explores the architectural differences between integrated voice agent platforms and modular real-time audio APIs for building responsive conversational AI. Readers will understand the mechanisms, benefits, and tradeoffs of each approach to guide their technology choices.
8 min readChoosing the Right STT API for Voice Agents
This article details the critical factors for selecting a Speech-to-Text (STT) API for voice agents, covering accuracy, real-time performance, cost, language support, and advanced features.
8 min readWhy WebRTC Outperforms WebSockets for Voice AI Agents
This article explains why WebRTC offers superior performance for real-time voice AI agents compared to WebSockets, detailing the underlying mechanisms that enable WebRTC's low latency, robust media handling, and adaptability to network conditions.
7 min readTotal Cost of Ownership: AI Voice Agents vs. Call Center Staff
This article breaks down the Total Cost of Ownership (TCO) for AI voice agents compared to human call center staff, detailing the direct and indirect expenses, scalability implications, and strategic advantages of each. Readers will understand the underlying cost mechanisms and how to evaluate the long-term economic impact of these solutions.
9 min readDesigning Voice AI Workflows: STT, NLP, TTS Integration
Building effective voice AI agents requires a deep understanding of how Speech-to-Text, Natural Language Processing, and Text-to-Speech technologies combine. This article details the mechanisms, challenges, and integration principles for designing robust conversational workflows.
9 min readMastering Turn Detection for Intuitive Voice Agents
This article explains how voice activity detection (VAD), sophisticated endpointing, and advanced model-based approaches combine to enable precise turn detection in AI voice agents. You will understand the technical mechanisms that facilitate natural, human-like conversational flow.
9 min readVoice AI Agents: Unpacking the Mechanisms of Conversational AI
This article explains how voice AI agents leverage the core principles of conversational AI, detailing the underlying technologies like speech recognition, natural language processing, and dialogue management that enable real-time spoken interactions.
7 min readAI Voice Agent Call Center Guide: Architecture & Deployment
This guide details the core architecture, technical challenges, and iterative design principles essential for deploying effective AI voice agents in call centers.
9 min readVoice AI Agents Transform Call Centers: A Technical Deep Dive
This article explains the technical underpinnings of voice AI agents and details how they enhance call center operations, improve customer experience, and drive efficiency through advanced automation and data insights.
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