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    <title>16-62 Insights</title>
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    <description>Field notes on data architecture, reporting and applied AI.</description>
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      <title>Is your AI workflow ready for operations? Five tests.</title>
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      <pubDate>Sun, 25 Oct 2026 00:00:00 +0000</pubDate>
      <description>Most AI pilots look convincing in a demo. Far fewer survive contact with real documents, real exceptions and real consequences. Before a workflow touches operations, it should pass five tests.</description>
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      <title>Why every system shows a different revenue number.</title>
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      <pubDate>Sun, 25 Oct 2026 00:00:00 +0000</pubDate>
      <description>The webshop says one figure, the payment provider another and the accounts a third. Usually all three are correct. They answer different questions. Here is where the differences come from, and how to settle them for good.</description>
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      <title>Search, retrieval, or RAG? Start with the question.</title>
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      <pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
      <description>Retrieval-augmented generation is useful when a system needs to find relevant material and write an answer from it. It is not the right default for every knowledge problem. The design should follow the question being asked.</description>
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      <title>A warehouse is only useful when its metrics mean something.</title>
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      <pubDate>Tue, 20 Oct 2026 00:00:00 +0000</pubDate>
      <description>Connecting systems to a warehouse is the easy part. The work that matters is agreeing what a customer, an active account or net margin means, and keeping those definitions consistent as new data arrives.</description>
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