<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Finops on Start AI Tools - Presented by Intent Solutions</title><link>https://startaitools.com/tags/finops/</link><description>Recent content in Finops on Start AI Tools - Presented by Intent Solutions</description><generator>Hugo</generator><language>en-US</language><copyright>Intent Solutions. All rights reserved.</copyright><lastBuildDate>Sat, 27 Jun 2026 07:13:58 -0600</lastBuildDate><atom:link href="https://startaitools.com/tags/finops/index.xml" rel="self" type="application/rss+xml"/><item><title>The LLM Should Never Do the Math</title><link>https://startaitools.com/posts/llm-never-does-the-math/</link><pubDate>Fri, 26 Jun 2026 08:00:00 -0500</pubDate><guid>https://startaitools.com/posts/llm-never-does-the-math/</guid><description>&lt;p&gt;A CFO will not act on a number an LLM eyeballed. They will not act on a number the model &amp;ldquo;estimated&amp;rdquo; by reasoning over a usage dump. And they should not — because the moment a language model emits a dollar figure it computed itself, that figure is a guess wearing the costume of a fact.&lt;/p&gt;
&lt;p&gt;This is the design constraint behind &lt;code&gt;databricks-cost-leak-hunter&lt;/code&gt;, the pilot skill of the databricks-pack v2 rebuild shipped in the claude-code-plugins marketplace (&lt;a href="https://github.com/jeremylongshore/claude-code-plugins"&gt;PR #906&lt;/a&gt;). Given a live, authenticated Databricks workspace, it surfaces real cost leaks across four named categories, ranks them by monthly dollar impact, and emits a report a finance reader can act on. The marketplace validator graded it B (88/100, zero errors). The SKILL.md is 329 lines. The single most important thing in it is a rule the model is structurally prevented from breaking: &lt;strong&gt;the LLM never does the dollar arithmetic.&lt;/strong&gt;&lt;/p&gt;</description></item></channel></rss>