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    <title>Emily Sas: writing</title>
    <link>https://emilysas.com/writing</link>
    <description>Essays on product leadership, health and care, data and AI.</description>
    <language>en-gb</language>
    <item>
      <title>Give Product The Whole Picture</title>
      <link>https://emilysas.com/writing/give-product-the-whole-picture</link>
      <guid>https://emilysas.com/writing/give-product-the-whole-picture</guid>
      <pubDate>Wed, 30 Sep 2026 09:00:00 GMT</pubDate>
      <description>What a business gives product to work with explains more about its impact than talent does. The four things real autonomy runs on, and the hidden cost of constant pivots.</description>
    </item>
    <item>
      <title>We're not the problem, the pattern is</title>
      <link>https://emilysas.com/writing/were-not-the-problem-the-pattern-is</link>
      <guid>https://emilysas.com/writing/were-not-the-problem-the-pattern-is</guid>
      <pubDate>Mon, 28 Sep 2026 09:00:00 GMT</pubDate>
      <description>Sewing patterns are drafted from a 1951 survey, so almost everyone has to "adjust" them. What that vocabulary reveals about edge cases, personas, and the workarounds users quietly absorb.</description>
    </item>
    <item>
      <title>The Moat, Not the Feature</title>
      <link>https://emilysas.com/writing/the-moat-not-the-feature</link>
      <guid>https://emilysas.com/writing/the-moat-not-the-feature</guid>
      <pubDate>Tue, 22 Sep 2026 09:00:00 GMT</pubDate>
      <description>When growth slows, strategy quietly narrows to efficiency. Here's why that leaves a business replaceable, and five tests for what actually makes it hard to copy in the age of AI.</description>
    </item>
    <item>
      <title>Ship Happens: AI can give you a forecast, but it still can't make the call</title>
      <link>https://emilysas.com/writing/ship-happens</link>
      <guid>https://emilysas.com/writing/ship-happens</guid>
      <pubDate>Tue, 08 Sep 2026 09:00:00 GMT</pubDate>
      <description>In 1944 two teams read the same weather data and reached opposite conclusions. Replaying that call with a modern AI model shows why better forecasts don't remove the need for judgment, or for designers.</description>
    </item>
    <item>
      <title>Systems Thinking isn't a Personality Trait, it's a Habit</title>
      <link>https://emilysas.com/writing/systems-thinking-is-a-habit</link>
      <guid>https://emilysas.com/writing/systems-thinking-is-a-habit</guid>
      <pubDate>Tue, 08 Sep 2026 09:00:00 GMT</pubDate>
      <description>A target to double throughput, two approved projects, and a bottleneck neither of them touched. Three habits that keep teams asking what else a fix affects, especially when AI lets them build in an afternoon.</description>
    </item>
    <item>
      <title>The Role of AI in Product-Building</title>
      <link>https://emilysas.com/writing/the-role-of-ai-in-product-building</link>
      <guid>https://emilysas.com/writing/the-role-of-ai-in-product-building</guid>
      <pubDate>Mon, 28 Jul 2025 09:00:00 GMT</pubDate>
      <description>What building a production-ready MVP with Cursor taught me about where AI coding tools help, where they break, and why the Product Trio matters more as delivery speeds up.</description>
    </item>
    <item>
      <title>Learning by Building: How Launchling Became My AI PM Playground</title>
      <link>https://emilysas.com/writing/learning-by-building</link>
      <guid>https://emilysas.com/writing/learning-by-building</guid>
      <pubDate>Fri, 18 Jul 2025 09:00:00 GMT</pubDate>
      <description>I built Launchling to learn AI product management hands-on rather than from the sidelines. What it taught me about prompts as UX, guardrails as product work, and evaluating AI output properly.</description>
    </item>
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