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    <description>Field notes on AI in production engineering, from a practicing AI engineering company. AI adoption for complex enterprise line-of-business applications.</description>
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    <lastBuildDate>Wed, 20 May 2026 18:56:34 GMT</lastBuildDate>
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      <title>Hype rides high. The thirty percent compounds.</title>
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      <pubDate>Wed, 20 May 2026 00:00:00 GMT</pubDate>
      <description>Most enterprise AI noise is incentive-driven. Underneath is the smaller, real story — the 30 to 50% of AI that compounds inside production systems.</description>
      <author>noreply@ibotsystems.com (Gopal Koratana)</author>
      <category>AI Hype</category>
      <category>Enterprise AI</category>
      <category>Line of Business Apps</category>
      <category>AI SDLC</category>
      <category>Compounding</category>
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      <title>Pilots stall, or pilots compound. There isn&apos;t a third option.</title>
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      <pubDate>Tue, 19 May 2026 00:00:00 GMT</pubDate>
      <description>The pilot trap Sid Mookerji named in retail AI isn&apos;t a retail problem. Any enterprise running AI on systems built before AI hits the same wall — the pilot survives the lab, meets the legacy, and stops compounding.</description>
      <author>noreply@ibotsystems.com (Gopal Koratana)</author>
      <category>AI SDLC</category>
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