<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai-Ops on Newton Rocha</title><link>https://rochanewton.github.io/tags/ai-ops/</link><description>Recent content in Ai-Ops on Newton Rocha</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 Newton Rocha</copyright><lastBuildDate>Fri, 11 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://rochanewton.github.io/tags/ai-ops/index.xml" rel="self" type="application/rss+xml"/><item><title>The 4D Framework: Delegation, Description, Discernment, Diligence</title><link>https://rochanewton.github.io/posts/claude-cert-01-fluency-4d-framework/</link><pubDate>Fri, 11 Sep 2026 00:00:00 +0000</pubDate><guid>https://rochanewton.github.io/posts/claude-cert-01-fluency-4d-framework/</guid><description>&lt;h2 class="relative group"&gt;What this is about
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&lt;p&gt;Anthropic&amp;rsquo;s AI Fluency course breaks working with AI into four competencies instead of a pile of prompt tricks: &lt;strong&gt;Delegation, Description, Discernment, Diligence&lt;/strong&gt;. The 4Ds. I went in expecting a prompting course and came out with a decision framework instead — one that&amp;rsquo;s less about writing better prompts and more about deciding what to hand off, how to communicate it, how to judge what comes back, and who&amp;rsquo;s accountable for it. Here&amp;rsquo;s each one, condensed to what actually matters.&lt;/p&gt;</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://rochanewton.github.io/posts/claude-cert-01-fluency-4d-framework/cover.png"/></item></channel></rss>