<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Prompting on Data &amp; AI School</title><link>https://dataandaischool.io/tags/prompting/</link><description>Recent content in Prompting on Data &amp; AI School</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 20 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://dataandaischool.io/tags/prompting/index.xml" rel="self" type="application/rss+xml"/><item><title>Prompting Like a Pro (Not Like a Google Search)</title><link>https://dataandaischool.io/ai-engineering/posts/prompting-like-a-pro/</link><pubDate>Thu, 20 Aug 2026 00:00:00 +0000</pubDate><guid>https://dataandaischool.io/ai-engineering/posts/prompting-like-a-pro/</guid><description>The named prompt engineering patterns practitioners actually use — chain-of-thought, role prompting, and self-consistency — explained simply.</description></item><item><title>Stop Copy-Pasting Prompts: Building a Prompt Library That Scales</title><link>https://dataandaischool.io/ai-engineering/posts/prompt-templates-and-libraries/</link><pubDate>Thu, 20 Aug 2026 00:00:00 +0000</pubDate><guid>https://dataandaischool.io/ai-engineering/posts/prompt-templates-and-libraries/</guid><description>Moving from one-off prompts scattered in code to versioned, parameterized templates you can actually test, reuse, and maintain.</description></item><item><title>Prompting Fundamentals</title><link>https://dataandaischool.io/ai-engineering/posts/prompting-fundamentals/</link><pubDate>Tue, 04 Aug 2026 00:00:00 +0000</pubDate><guid>https://dataandaischool.io/ai-engineering/posts/prompting-fundamentals/</guid><description>Why specificity beats cleverness, and how to talk to a model that takes everything you say literally.</description></item></channel></rss>