<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Planncode Blog</title>
    <link>https://www.planncode.com/en/blog/</link>
    <description>Planncode articles on data architecture, applied AI, governance, FinOps and Databricks, written by the people who build for the people who decide.</description>
    <language>en</language>
    <atom:link href="https://www.planncode.com/en/blog/rss.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Real problem, proposed architecture: 510 GB of conversations and a small team</title>
      <link>https://www.planncode.com/en/blog/ai-chat-data-analysis/</link>
      <guid isPermaLink="true">https://www.planncode.com/en/blog/ai-chat-data-analysis/</guid>
      <description>Technical exercise: how to screen 510 GB of chats, audio, and calls with AI on Databricks, with human review and estimated timeline and cost.</description>
      <category>Applied AI</category>
      <pubDate>Wed, 14 Oct 2026 12:00:00 GMT</pubDate>
    </item>
  </channel>
</rss>
