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Architecture, latency, and what breaks in production — technical writing for the people actually shipping voice agents on real phone lines.
Latest articles
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.
8 min readIntegrated 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 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 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 readSpeech-to-Speech vs. Cascade: Voice Agent Architecture Deep Dive
This article explores the fundamental differences between traditional cascade and advanced speech-to-speech architectures for AI voice agents. Readers will gain a clear understanding of how each approach impacts latency, error handling, and the overall naturalness of conversational AI.
10 min readConversation Intelligence for Voice Agents: Real-Time & Post-Call
This article explains how conversation intelligence enhances voice agents through both real-time and post-call analytics, detailing the technological mechanisms that enable immediate operational adjustments and long-term strategic improvements.
8 min readSecure Caller Identity for Voice Agents: Authentication Flows
This article explains how to design robust and secure caller identity authentication flows for AI voice agents. Readers will understand the unique challenges of the voice channel, various authentication methods, and strategies for implementing multi-factor authentication while balancing security, usability, and compliance.
8 min readMinimizing Latency in AI Voice Agents for Real-Time Conversation
This article explains the components of AI voice agent latency, from audio capture to speech output, and details the engineering strategies for reducing it at each stage. Readers will understand how optimizations in Speech-to-Text, Large Language Model inference, Text-to-Speech, and network design combine to achieve human-like conversational responsiveness.
7 min readOutbound Call Center Automation with AI Voice Agents
This article explains how AI voice agents automate outbound call center operations, detailing the underlying technological mechanisms and their impact on efficiency, scalability, and strategic communication. Readers will understand the technical components, use cases, and the benefits of integrating AI into outbound dialing strategies.
6 min readNew writing
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