<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Prompt Engineering — The Latent Daily</title><description>Techniques, patterns and a library of prompts that work.</description><link>https://thelatentdaily.com/</link><language>en-us</language><atom:link href="https://thelatentdaily.com/rss/prompt-engineering.xml" rel="self" type="application/rss+xml"/><item><title>How to summarize long documents with AI without losing the important parts</title><link>https://thelatentdaily.com/guides/how-to-summarize-long-documents-with-ai/</link><guid isPermaLink="true">https://thelatentdaily.com/guides/how-to-summarize-long-documents-with-ai/</guid><description>A step-by-step method to get accurate summaries of reports, contracts and papers from any AI assistant, including how to check the result for missing facts.</description><pubDate>Sun, 18 Oct 2026 05:48:00 GMT</pubDate><category>Guides &amp; Tutorials</category><category>guides</category><category>summarization</category><category>productivity</category><category>prompting</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Few-shot prompting: how to teach an AI model with a handful of examples</title><link>https://thelatentdaily.com/guides/few-shot-prompting-guide/</link><guid isPermaLink="true">https://thelatentdaily.com/guides/few-shot-prompting-guide/</guid><description>Show, don&apos;t tell: how to use examples inside a prompt to get consistent formats, tone and classifications from any language model, with ready-to-use templates.</description><pubDate>Sun, 18 Oct 2026 05:42:00 GMT</pubDate><category>Prompt Engineering</category><category>prompting</category><category>few-shot</category><category>guides</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Chain-of-thought prompting: getting better answers by asking for the reasoning</title><link>https://thelatentdaily.com/guides/chain-of-thought-prompting-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/guides/chain-of-thought-prompting-explained/</guid><description>Why asking a model to reason step by step improves math and logic answers, how reasoning models changed the technique, and when it is not worth the extra tokens.</description><pubDate>Sun, 18 Oct 2026 05:41:00 GMT</pubDate><category>Prompt Engineering</category><category>prompting</category><category>reasoning</category><category>chain-of-thought</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Prompting cheat sheet: 12 patterns that work with any AI assistant</title><link>https://thelatentdaily.com/guides/cheat-sheet-prompting-patterns/</link><guid isPermaLink="true">https://thelatentdaily.com/guides/cheat-sheet-prompting-patterns/</guid><description>Role, context, examples, format, constraints and self-checks: twelve reusable prompt patterns on a single page, each with a short template you can copy.</description><pubDate>Sun, 18 Oct 2026 05:33:00 GMT</pubDate><category>Cheat Sheets</category><category>cheat-sheet</category><category>prompting</category><category>productivity</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Prompt of the day: the &quot;critique, then improve&quot; prompt</title><link>https://thelatentdaily.com/articles/prompt-of-the-day-critique-and-improve/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/prompt-of-the-day-critique-and-improve/</guid><description>A reusable prompt that makes AI review your draft against clear criteria before rewriting it — with the template, examples for emails, essays and code, and variations.</description><pubDate>Sun, 18 Oct 2026 02:52:00 GMT</pubDate><category>Prompt of the Day</category><category>prompts</category><category>writing</category><category>editing</category><category>prompt-engineering</category><author>dario_admin@resolvia-crm.tech</author></item></channel></rss>