<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Prompt Engineering on Ted Factory</title><link>https://tedfactory.com/en/tags/prompt-engineering/</link><description>Recent content in Prompt Engineering on Ted Factory</description><generator>Hugo</generator><language>en</language><lastBuildDate>Mon, 02 Mar 2026 15:55:29 +0900</lastBuildDate><atom:link href="https://tedfactory.com/en/tags/prompt-engineering/index.xml" rel="self" type="application/rss+xml"/><item><title>Key AI Concepts (3): Prompt Engineering / Context Engineering</title><link>https://tedfactory.com/en/books/ai-for-startup/ai-concepts-3/</link><pubDate>Fri, 02 Jan 2026 00:00:00 +0900</pubDate><guid>https://tedfactory.com/en/books/ai-for-startup/ai-concepts-3/</guid><description>&lt;h1 id="key-ai-concepts-3"&gt;Key AI Concepts (3)&lt;a class="anchor" href="#key-ai-concepts-3"&gt;#&lt;/a&gt;&lt;/h1&gt;
&lt;p&gt;In this chapter, we cover &lt;strong&gt;prompt engineering&lt;/strong&gt; (how to structure questions and instructions) and &lt;strong&gt;context engineering&lt;/strong&gt; (how to provide the background materials the model should use to produce an answer).&lt;/p&gt;
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&lt;h2 id="prompt-engineering"&gt;Prompt Engineering&lt;a class="anchor" href="#prompt-engineering"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;A prompt is the text you give to an AI model as a query (a question or instruction). For example, in ChatGPT, whatever you type into the input box is the prompt. Prompt engineering is the skill of writing prompts in a way that reliably produces the result you want. It may feel like “just typing in a chat box,” but the quality of the output can change dramatically depending on how you phrase and structure the input—so people call it “engineering” because there are principles, trade-offs, and know-how.&lt;/p&gt;</description></item></channel></rss>