{"id":221230,"date":"2025-08-31T08:09:38","date_gmt":"2025-08-31T13:09:38","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2025\/08\/gpt-5-prompting-guide"},"modified":"2025-08-31T08:09:38","modified_gmt":"2025-08-31T13:09:38","slug":"gpt-5-prompting-guide","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2025\/08\/gpt-5-prompting-guide","title":{"rendered":"GPT-5 prompting guide"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/gpt-5-prompting-guide.jpg\"><\/a><\/p>\n<p>GPT-5, our newest flagship model, represents a substantial leap forward in agentic task performance, coding, raw intelligence, and steerability.<\/p>\n<p>While we trust it will perform excellently \u201cout of the box\u201d across a wide range of domains, in this guide we\u2019ll cover prompting tips to maximize the quality of model outputs, derived from our experience training and applying the model to real-world tasks. We discuss concepts like improving agentic task performance, ensuring instruction adherence, making use of newly API features, and optimizing coding for frontend and software engineering tasks \u2014 with key insights into AI code editor Cursor\u2019s prompt tuning work with GPT-5.<\/p>\n<p>We\u2019ve seen significant gains from applying these best practices and adopting our canonical tools whenever possible, and we hope that this guide, along with the <a href=\"https:\/\/platform.openai.com\/chat\/edit?optimize=true\">prompt optimizer tool<\/a> we\u2019ve built, will serve as a launchpad for your use of GPT-5. But, as always, remember that prompting is not a one-size-fits-all exercise \u2014 we encourage you to run experiments and iterate on the foundation offered here to find the best solution for your problem.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>GPT-5, our newest flagship model, represents a substantial leap forward in agentic task performance, coding, raw intelligence, and steerability. While we trust it will perform excellently \u201cout of the box\u201d across a wide range of domains, in this guide we\u2019ll cover prompting tips to maximize the quality of model outputs, derived from our experience training [\u2026]<\/p>\n","protected":false},"author":709,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1495,6],"tags":[],"class_list":["post-221230","post","type-post","status-publish","format-standard","hentry","category-health","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/221230","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/709"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=221230"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/221230\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=221230"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=221230"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=221230"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}