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    <title>Agrim Singh</title>
    <link>https://agrimsingh.com</link>
    <description>Building Niyam AI — turning hardware design from guesswork into systems. Teaching builders at Code With AI and running 65labs, Singapore's AI builder collective.</description>
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    <lastBuildDate>Thu, 11 Jun 2026 21:18:04 GMT</lastBuildDate>
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      <title><![CDATA[from 70% to 95%: the unglamorous path to accuracy]]></title>
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      <pubDate>Thu, 22 Jan 2026 00:00:00 GMT</pubDate>
      <description><![CDATA[how error analysis, ground truth fixes, and deterministic guards turned a brittle extraction system into a reliable one.]]></description>
      <category>ai</category>
      <category>evals</category>
      <category>electronics</category>
      <category>niyam</category>
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      <title><![CDATA[building an ai system for electronics data extraction]]></title>
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      <pubDate>Mon, 19 Jan 2026 00:00:00 GMT</pubDate>
      <description><![CDATA[how we built parallel extraction pipelines, race-loop streaming, and schema validation to turn 200-page datasheets into production-ready footprints.]]></description>
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      <category>building</category>
      <category>electronics</category>
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      <title><![CDATA[ralph for idiots: the only explanation you need]]></title>
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      <pubDate>Mon, 12 Jan 2026 00:00:00 GMT</pubDate>
      <description><![CDATA[a no-mysticism guide to the ralph technique - why ai agents forget on purpose, and how to make that work for you.]]></description>
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