<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Evaluation on David R. Longnecker - Converting Coffee to Code</title><link>https://drlongnecker.com/tags/evaluation/</link><description>Recent content in Evaluation on David R. Longnecker - Converting Coffee to Code</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 12 Jun 2026 09:00:00 -0600</lastBuildDate><atom:link href="https://drlongnecker.com/tags/evaluation/index.xml" rel="self" type="application/rss+xml"/><item><title>The Delegation Problem in an AI World</title><link>https://drlongnecker.com/blog/2026/06/delegation-evaluation-gap-ai-world/</link><pubDate>Fri, 12 Jun 2026 09:00:00 -0600</pubDate><guid>https://drlongnecker.com/blog/2026/06/delegation-evaluation-gap-ai-world/</guid><description>&lt;p&gt;With the advantages of generative AI, some teams ship fast and present cleanly, then go quiet the moment someone pushes on the plan. It&amp;rsquo;s not because anyone is hiding something, but because the plan came from a prompt, and prompting your way around a hard decision is now easier than making one.&lt;/p&gt;
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&lt;p&gt;Most delegation advice says to evaluate what someone achieved, not how they achieved it. &amp;ldquo;State the destination and trust the route.&amp;rdquo; When delegating to an AI model, that gets a bit more challenging. Let&amp;rsquo;s dig into why and some questions you can ask to help you and your team better leverage these tools.&lt;/p&gt;</description></item></channel></rss>