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voice AI architecture.

Homevoice AI architecture
April 1, 2026
Alberto GonzalezComments Off on Production Voice AI Architecture for Regulated Industries

Production Voice AI Architecture for Regulated Industries

Early Voice AI deployments were built on a straightforward pattern: Speech To Text, LLM, Text To Speech. That pipeline was enough to produce compelling prototypes for customer support, sales automation, and meeting summaries. The pattern holds well until it meets a regulated environment. Telecom platforms, telehealth systems,

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December 2, 2025
Hector ZelayaComments Off on How to Choose Voice AI Agent Patterns: Conversation-based vs Turn-based Design

How to Choose Voice AI Agent Patterns: Conversation-based vs Turn-based Design

The choice between conversation-based and turn-based Voice AI agent patterns is a strategic business decision, not just a technical detail. Beyond what your agent will say, you must decide how it will run. This architectural choice defines how your voicebot will scale, what it will cost to

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October 14, 2025
Hector ZelayaComments Off on Slow Voicebot? How to Fix Latency in Voice-Enabled Conversational AI Systems

Slow Voicebot? How to Fix Latency in Voice-Enabled Conversational AI Systems

Voicebot latency is the most critical performance metric for voice-enabled Conversational AI systems. While text-based interactions can tolerate response delays of several seconds, voice agents must respond as quickly as possible to maintain natural dialogue flow. Even slight delays create slow voicebots with perceptible awkwardness that degrades

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Recent Blog Posts

  • Voicebot Platforms and Strategy for Non-Tech Teams
  • Alberto González on Building Voice and Streaming Apps for the Enterprise
  • Production Voice AI Architecture for Regulated Industries
  • Watch WebRTC Live #111: Improving End-to-End Quality with WebRTC Observability
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