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    <title>AI on Inês Garcia</title>
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    <description>Recent content in AI on Inês Garcia</description>
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    <copyright>© 2026 Inês Garcia</copyright>
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      <title>The Data Analyst&#39;s Survival Guide to the Agentic Era</title>
      <link>https://null-hypothesis.ines-garcia263.workers.dev/posts/data-analyst-survival-guide-agentic-era/</link>
      <pubDate>Wed, 08 Apr 2026 00:00:00 +0000</pubDate>
      
      <guid>https://null-hypothesis.ines-garcia263.workers.dev/posts/data-analyst-survival-guide-agentic-era/</guid>
      <description>&lt;p&gt;I need to say something that makes some data analysts uncomfortable: the job is changing. Not disappearing — changing. And the analysts who understand the change will thrive. The ones who don&amp;rsquo;t will spend the next five years fighting it.&lt;/p&gt;</description>
      
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      <title>Open Source Won the AI Agent War — Here&#39;s What That Means for Data Teams</title>
      <link>https://null-hypothesis.ines-garcia263.workers.dev/posts/open-source-won-the-ai-agent-war/</link>
      <pubDate>Thu, 05 Mar 2026 00:00:00 +0000</pubDate>
      
      <guid>https://null-hypothesis.ines-garcia263.workers.dev/posts/open-source-won-the-ai-agent-war/</guid>
      <description>&lt;p&gt;In January 2024, Hugging Face published a benchmark that most people in the data world missed. They compared open-source LLMs against GPT-3.5 and GPT-4 on agent tasks — using a dataset that requires web search and calculator use, the fundamentals of any analytics agent.&lt;/p&gt;</description>
      
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      <title>The Berkeley AI Lab Figured Out Why Analytics Agents Work (And It&#39;s Not About AI)</title>
      <link>https://null-hypothesis.ines-garcia263.workers.dev/posts/why-analytics-agents-work-berkeley/</link>
      <pubDate>Sun, 22 Feb 2026 00:00:00 +0000</pubDate>
      
      <guid>https://null-hypothesis.ines-garcia263.workers.dev/posts/why-analytics-agents-work-berkeley/</guid>
      <description>&lt;p&gt;In February 2024, the Berkeley AI Research Lab published a paper that quietly explained everything. Not &amp;ldquo;how to build AI&amp;rdquo; — but &lt;em&gt;why the move from single LLM calls to multi-component systems is inevitable&lt;/em&gt;. And once you read it, you see analytics differently.&lt;/p&gt;</description>
      
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    <item>
      <title>What Meta&#39;s Data Warehouse AI Taught Me About Building Analytics Agents</title>
      <link>https://null-hypothesis.ines-garcia263.workers.dev/posts/what-metas-data-warehouse-ai-taught-me/</link>
      <pubDate>Wed, 14 Jan 2026 00:00:00 +0000</pubDate>
      
      <guid>https://null-hypothesis.ines-garcia263.workers.dev/posts/what-metas-data-warehouse-ai-taught-me/</guid>
      <description>&lt;p&gt;In August 2025, Meta published an engineering blog post that changed how I think about analytics agents. It&amp;rsquo;s called &amp;ldquo;Creating AI Agent Solutions for Warehouse Data Access and Security,&amp;rdquo; and it describes a multi-agent system they built for their internal data warehouse.&lt;/p&gt;</description>
      
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