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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
Optimizing Student Enrollment with Conversational AI Voice Agents
This article explains how AI voice agents streamline student enrollment by automating routine inquiries, personalizing interactions, and improving lead qualification. Readers will understand the technical mechanisms behind these agents and their measurable impact on university operations.
7 min readBuilding Real-Time Voice Agents: The Core Pipeline Explained
This article explains the fundamental architecture behind responsive voice agents, detailing how Speech-to-Text, Natural Language Understanding, and Text-to-Speech components integrate within a real-time pipeline to create seamless conversational experiences. Readers will understand the technical mechanisms that enable low-latency, natural interactions.
6 min readDesigning and Evaluating Speech-to-Speech Voice Agent APIs
Readers will learn the critical technical considerations for building and selecting speech-to-speech voice agent APIs, focusing on latency, accuracy, naturalness, and developer experience.
7 min readArchitectural Strategies for Lowest Latency Voice Agents
This article details the architectural and technical strategies for minimizing end-to-end latency in voice agent interactions, explaining how to achieve a more fluid and natural conversational experience. Readers will understand how to identify and mitigate latency sources across the entire voice agent pipeline.
8 min readOptimizing Real-Time STT Latency for Conversational Voice Agents
This article explains what real-time speech-to-text (STT) latency is, why minimizing it is crucial for effective voice agents, and provides methods for benchmarking and strategies for optimization.
8 min readNew writing
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