Blog
Architecture, latency, and what breaks in production — technical writing for the people actually shipping voice agents on real phone lines.
Latest articles
Choosing 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 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 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.
7 min readDefining an Open Standard for Voice Transcription
This article explains how an open voice transcription standard would unify diverse ASR outputs, simplifying integration and improving the reliability of voice AI applications. Readers will understand the technical components of such a standard and its profound benefits for developers and the broader voice technology ecosystem.
8 min readFlux TTS: Conversation-Native Text-to-Speech for Real-time Voice Agents
This article explains how Flux TTS, a conversation-native text-to-speech system, addresses the unique demands of real-time AI voice agents. Readers will understand the architectural shifts required to move beyond static speech synthesis to dynamic, context-aware conversational output.
6 min readVoice Agent Latency Optimization for Natural Conversations
This article details how to identify and reduce voice agent latency across the entire interaction chain, from audio capture to speech synthesis, ensuring natural and responsive conversational AI experiences.
7 min readNew writing
Get the next one in your inbox.
An email when we publish. Nothing else — no digest, no product updates.