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  <title>The AI Build</title>

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  <copyright>© 2026 The AI Build</copyright>
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  <description><![CDATA[<p>Welcome to <b>The AI Build</b>, the podcast for the engineers, architects, and visionaries moving Generative AI out of the sandbox and into the real world.</p><p><br></p><p>Most AI projects die in the "demo chasm." We’re here to help you cross it. Join us as we strip away the hype to focus on the brutal reality of production-grade systems. From mastering <b>multi-agent orchestration</b> and building resilient <b>n8n workflows</b> to selecting the right <b>foundation models</b> (GPT-4, Claude, Llama) and implementing <b>observability tracing</b>, we dive deep into the engineering that makes AI work at scale.</p><p><br></p><p>Whether you're wrestling with latency cascades, designing strict schema gates, or scaling specialized agents, <em>The AI Build</em> is your technical blueprint for building the future—one deployment at a time.</p>]]></description>
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    <itunes:title>The Demo Chasm</itunes:title>
    <title>The Demo Chasm</title>
    <itunes:summary><![CDATA[You’ve seen the flashy Twitter demos: an AI agent perfectly navigating a "happy path" to solve a complex task. But what happens when you take that sports car off the pristine test track and drop it into the "potholes and detours" of real-world traffic?. In our debut episode of The AI Build, we deconstruct the brutal transition from potential to production. We’re moving past the "vibe coding" phase to look at why probabilistic guessing engines fail when forced into rigid, deterministic enterpr...]]></itunes:summary>
    <description><![CDATA[<p>You’ve seen the flashy Twitter demos: an AI agent perfectly navigating a &quot;happy path&quot; to solve a complex task. But what happens when you take that sports car off the pristine test track and drop it into the &quot;potholes and detours&quot; of real-world traffic?.</p><p>In our debut episode of <b>The AI Build</b>, we deconstruct the brutal transition from potential to production. We’re moving past the &quot;vibe coding&quot; phase to look at why probabilistic guessing engines fail when forced into rigid, deterministic enterprise workflows.</p><p><b>In this episode, we cover:</b>* <b>The Reliability Paradox:</b> Why chaining five &quot;95% reliable&quot; agents actually results in a system that fails 23% of the time. * <b>The Coordination Tax:</b> How a $6 demo scales into an $18,000 monthly bill due to context bloat and &quot;chatty&quot; agents. * <b>Quiet Failures:</b> Why your monitoring dashboards show a &quot;sea of green&quot; while your agents are secretly spiraling and hallucinating successes. * <b>Architectural Cures:</b> A first look at <b>Schema Gates</b>, <b>Step-Level Tracing</b>, and why <b>n8n</b> deterministic routing is your best defense against agent chaos.</p><p>Stop building toys. Start building systems. It’s time to bridge the chasm.</p>]]></description>
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    <itunes:author>Pieter Steyn</itunes:author>
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    <pubDate>Mon, 06 Apr 2026 18:00:00 +0200</pubDate>
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