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    <title>AgentCrucible Notes</title>
    <link>https://botingwang.pages.dev</link>
    <description>Research notes on AI agent organization, agent self-evolution, evals, and project-grounded AI engineering.</description>
    <language>en-us</language>
    <lastBuildDate>Thu, 25 Jun 2026 21:36:11 GMT</lastBuildDate>
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      <title>When Agents Learn From Work, the Data Wall Changes</title>
      <link>https://botingwang.pages.dev/articles/when-agents-learn-from-work-the-data-wall-changes/</link>
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      <pubDate>Tue, 23 Jun 2026 00:00:00 GMT</pubDate>
      <description>Exhausting high-quality human text would not exhaust data for improving LLMs: agent work can produce new grounded experience, and selected experience can already improve later systems.</description>
    </item>
    <item>
      <title>Why Evals Are the Bottleneck for Useful Agent Systems</title>
      <link>https://botingwang.pages.dev/articles/why-evals-are-the-bottleneck-for-useful-agent-systems/</link>
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      <pubDate>Thu, 11 Jun 2026 00:00:00 GMT</pubDate>
      <description>A project-grounded argument for why useful agent systems need eval infrastructure before they need more orchestration complexity.</description>
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