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    <title>Voice AI on Yash Chudasama</title>
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    <description>Recent content in Voice AI on Yash Chudasama</description>
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    <copyright>Copyright © 2026, Yash Chudasama; all rights reserved.</copyright>
    <lastBuildDate>Wed, 25 Mar 2026 00:00:00 +0000</lastBuildDate>
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      <title>Voice AI Latency: Why Sub-200ms Response Time Matters</title>
      <link>https://www.yashchudasama.com/blog/ai/voice-ai-latency/</link>
      <pubDate>Tue, 18 Nov 2025 00:00:00 +0000</pubDate>
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      <description>Voice AI has a problem that text-based AI doesn&amp;rsquo;t: time pressure. When a human asks a voice agent a question, they expect a response in the same cadence as a human conversation. Not in 2 seconds. Not in 1 second. In the time it takes a human to inhale before responding — roughly 200-500ms.&#xA;Miss that window and the user perceives the system as broken, stupid, or both. Hit it consistently and the interaction feels magical.</description>
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      <title>Real-Time Voice AI Pipelines: STT, LLM, and TTS</title>
      <link>https://www.yashchudasama.com/blog/ai/realtime-ai-pipelines/</link>
      <pubDate>Wed, 25 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://www.yashchudasama.com/blog/ai/realtime-ai-pipelines/</guid>
      <description>The most interesting AI systems in 2026 aren&amp;rsquo;t chatbots. They&amp;rsquo;re voice agents — AI that listens, thinks, and speaks in real-time within live communication flows. Building one that actually works in production requires solving problems at the intersection of WebRTC, speech processing, and language models.&#xA;This is the architecture guide I wish existed when I started building these systems.&#xA;The Reference Architecture A production real-time AI voice pipeline has five layers:</description>
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