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    <title>Memtro</title>
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    <description>Notes on company memory, AI cost and context, from the team building Memtro.</description>
    <language>en-GB</language>
    <lastBuildDate>Tue, 13 Oct 2026 09:00:00 GMT</lastBuildDate>
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      <title>Your AI pilot did not stall because of the model</title>
      <link>https://www.memtro.com/blog/why-ai-pilots-stall/</link>
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      <pubDate>Tue, 13 Oct 2026 09:00:00 GMT</pubDate>
      <description>Most internal AI projects die somewhere between the demo and the second week. The model is almost never the reason, and the thing that is has a name.</description>
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      <title>What it costs to paste your company into every prompt</title>
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      <pubDate>Sat, 10 Oct 2026 09:00:00 GMT</pubDate>
      <description>Background context is the largest line on most AI bills, it is re-sent on every turn, and almost nobody measures it. Here is the arithmetic.</description>
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      <title>A knowledge graph is not a better vector search</title>
      <link>https://www.memtro.com/blog/knowledge-graph-vs-rag/</link>
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      <pubDate>Tue, 06 Oct 2026 09:00:00 GMT</pubDate>
      <description>RAG finds passages that look like your question. A graph knows two records are the same customer. The difference shows on exactly the questions that matter.</description>
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      <title>When your AI gets it wrong, can you prove what it knew?</title>
      <link>https://www.memtro.com/blog/what-did-the-ai-know/</link>
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      <pubDate>Thu, 01 Oct 2026 09:00:00 GMT</pubDate>
      <description>Most AI memory overwrites. That is fine until somebody asks why a decision was made in July, and the only honest answer is that the record no longer exists.</description>
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