<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Goldlayer Insights</title>
    <link>https://gold-layer.com/insights</link>
    <description>Analysis of the upstream data preparation, governance, lineage, and retrieval work behind reliable enterprise AI.</description>
    <language>en</language>
    <atom:link href="https://gold-layer.com/insights/feed.xml" rel="self" type="application/rss+xml"/>
    <item>
      <title>Stop Building More AI Agents. Build Reliable Loops Instead</title>
      <link>https://gold-layer.com/insights/stop-building-ai-agents-build-reliable-loops</link>
      <guid isPermaLink="true">https://gold-layer.com/insights/stop-building-ai-agents-build-reliable-loops</guid>
      <description>AI agent loops can plan, act, verify, and repeat. Learn what makes them reliable, and why enterprise data quality remains the real constraint.</description>
      <pubDate>Thu, 23 Jul 2026 00:00:00 GMT</pubDate>
      <category>Data governance</category>
    </item>
    <item>
      <title>Kimi K3 vs Claude Fable 5: What Real-World Testing Means for Enterprise AI</title>
      <link>https://gold-layer.com/insights/kimi-k3-vs-claude-fable-5-enterprise-ai</link>
      <guid isPermaLink="true">https://gold-layer.com/insights/kimi-k3-vs-claude-fable-5-enterprise-ai</guid>
      <description>Kimi K3 brings frontier AI closer to open-weight economics. A hands-on comparison with Claude Fable 5 reveals the enterprise trade-offs.</description>
      <pubDate>Wed, 22 Jul 2026 00:00:00 GMT</pubDate>
      <category>Self-hosted AI</category>
    </item>
    <item>
      <title>When Enterprise Documents Disagree, RAG Needs Context</title>
      <link>https://gold-layer.com/insights/when-enterprise-documents-disagree-rag-needs-context</link>
      <guid isPermaLink="true">https://gold-layer.com/insights/when-enterprise-documents-disagree-rag-needs-context</guid>
      <description>Conflicting policies can mislead enterprise RAG. Learn how metadata, versioning, retrieval filters, and clarification improve AI answers.</description>
      <pubDate>Tue, 21 Jul 2026 00:00:00 GMT</pubDate>
      <category>Enterprise RAG</category>
    </item>
    <item>
      <title>Why AI-Ready Data Is the Foundation of Enterprise RAG</title>
      <link>https://gold-layer.com/insights/ai-ready-data-foundation-enterprise-rag</link>
      <guid isPermaLink="true">https://gold-layer.com/insights/ai-ready-data-foundation-enterprise-rag</guid>
      <description>Learn why enterprise AI and RAG need structured, governed, searchable data and how Goldlayer accelerates AI data preparation securely.</description>
      <pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate>
      <category>AI-ready data</category>
    </item>
  </channel>
</rss>
