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    <title>Amar Gautam - Essays</title>
    <description>Articles and thoughts on agentic AI, reusable solution patterns, and enterprise GTM.</description>
    <link>https://amargautam.com</link>
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      <title>When infrastructure gets commoditized, data becomes the moat</title>
      <description>Anthropic just made agent infrastructure a commodity. That doesn&#039;t threaten companies whose moat is data. It threatens companies whose moat was plumbing.</description>
      <link>https://amargautam.com/writing/when-infrastructure-gets-commoditized</link>
      <pubDate>Fri, 10 Apr 2026 00:00:00 GMT</pubDate>
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      <title>What the Claude Code leak actually reveals about building AI agents</title>
      <description>Anthropic accidentally open-sourced 512,000 lines of Claude Code internals. Forget the drama. The code is a masterclass in agentic architecture, and every company building AI agents should be studying it.</description>
      <link>https://amargautam.com/writing/what-the-claude-code-leak-reveals</link>
      <pubDate>Fri, 03 Apr 2026 00:00:00 GMT</pubDate>
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      <title>Revenue systems need memory</title>
      <description>The same problem that makes most AI systems useless for serious work is what makes revenue systems so brittle. The fix is the same too.</description>
      <link>https://amargautam.com/writing/revenue-systems-need-memory</link>
      <pubDate>Wed, 01 Apr 2026 00:00:00 GMT</pubDate>
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      <title>The evaluation problem nobody wants to solve</title>
      <description>Everyone wants to ship AI. Almost nobody wants to build the evaluation framework that tells you whether it&#039;s working.</description>
      <link>https://amargautam.com/writing/the-evaluation-problem</link>
      <pubDate>Sun, 29 Mar 2026 00:00:00 GMT</pubDate>
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      <title>Guardrails are the product</title>
      <description>Most teams treat AI guardrails as a safety feature bolted on at the end. In production, the guardrails are what actually makes the system usable.</description>
      <link>https://amargautam.com/writing/guardrails-are-the-product</link>
      <pubDate>Sun, 22 Mar 2026 00:00:00 GMT</pubDate>
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      <title>The learning gap is the real AI crisis</title>
      <description>The biggest barrier to enterprise AI isn&#039;t model quality or regulation or talent. It&#039;s that most AI systems can&#039;t learn. And almost nobody is building to fix this.</description>
      <link>https://amargautam.com/writing/the-learning-gap</link>
      <pubDate>Sun, 15 Mar 2026 00:00:00 GMT</pubDate>
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      <title>The death of the demo</title>
      <description>The traditional software demo is becoming counterproductive for AI products. When you&#039;re selling intelligence, not features, the whole buyer engagement model needs to change.</description>
      <link>https://amargautam.com/writing/the-death-of-the-demo</link>
      <pubDate>Thu, 12 Mar 2026 00:00:00 GMT</pubDate>
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      <title>The case for a revenue intelligence layer</title>
      <description>Deal context lives in a dozen different systems. What would happen if something actually stitched it all together?</description>
      <link>https://amargautam.com/writing/the-case-for-a-revenue-intelligence-layer</link>
      <pubDate>Sun, 08 Mar 2026 00:00:00 GMT</pubDate>
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      <title>Your forecast is a fiction</title>
      <description>Revenue forecasting is narrative-based, not evidence-based. Sellers declare stages, managers interpret stories, leadership aggregates opinions. AI can fix this, but most organizations aren&#039;t ready for that level of transparency.</description>
      <link>https://amargautam.com/writing/your-forecast-is-a-fiction</link>
      <pubDate>Sun, 22 Feb 2026 00:00:00 GMT</pubDate>
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      <title>Why your CRM can&#039;t handle AI deals</title>
      <description>CRM systems were designed for linear SaaS buying. AI deals are non-linear, multi-threaded, and governed by organizational readiness. Your pipeline view can&#039;t represent any of it.</description>
      <link>https://amargautam.com/writing/why-your-crm-cant-handle-ai-deals</link>
      <pubDate>Thu, 19 Feb 2026 00:00:00 GMT</pubDate>
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      <title>Build vs. buy is the wrong question for AI</title>
      <description>Everyone asks whether to build AI internally or buy from vendors. It&#039;s the wrong question. What actually determines success is how fast your organization can learn.</description>
      <link>https://amargautam.com/writing/build-vs-buy-is-the-wrong-question</link>
      <pubDate>Sun, 08 Feb 2026 00:00:00 GMT</pubDate>
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      <title>How sales changes in the AI era</title>
      <description>AI isn&#039;t a harder version of SaaS to sell. It&#039;s a different commercial problem entirely. The entire revenue stack needs to be rebuilt.</description>
      <link>https://amargautam.com/writing/how-sales-changes-in-the-ai-era</link>
      <pubDate>Thu, 22 Jan 2026 00:00:00 GMT</pubDate>
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      <title>The 95% problem: why almost every enterprise AI deployment fails</title>
      <description>95% of enterprise AI tools never make it to production. The MIT study quantified what builders already knew, but the reasons aren&#039;t what most people think.</description>
      <link>https://amargautam.com/writing/the-95-percent-problem</link>
      <pubDate>Tue, 25 Nov 2025 00:00:00 GMT</pubDate>
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    <item>
      <title>What the MIT AI study actually reveals</title>
      <description>Everyone is citing this study as proof that AI fails. They&#039;re reading it wrong. The study shows why organizations fail at building systems, period.</description>
      <link>https://amargautam.com/writing/mit-study-pov</link>
      <pubDate>Sun, 16 Nov 2025 00:00:00 GMT</pubDate>
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