{"id":9004111224895233,"date":"2026-08-24T21:47:49","date_gmt":"2026-08-24T21:47:49","guid":{"rendered":"https:\/\/www.pragmaticinstitute.com\/resources\/?post_type=pi-events&#038;p=9004111224895233"},"modified":"2026-08-24T21:57:38","modified_gmt":"2026-08-24T21:57:38","slug":"building-ai-agents-for-product-work","status":"publish","type":"pi-events","link":"https:\/\/www.pragmaticinstitute.com\/resources\/pi-events\/building-ai-agents-for-product-work\/","title":{"rendered":"Building AI Agents for Product Work"},"content":{"rendered":"<p><strong>Live builds in Claude, ChatGPT, and Microsoft Copilot<\/strong><\/p>\n<p>Most product managers have gotten good at prompting. They know which tool to open, can get a usable first draft in minutes, and have a few tricks to share with their teams.<br \/>\nBut the question has changed. It is no longer whether product teams use AI. It is whether AI is making the work better.<\/p>\n<p>That requires moving beyond one-off prompts. With an agent, you can hand over a recurring piece of work, set clear expectations, and review what comes back. Your judgment stays central. What goes away is the need to rebuild the same process every time.<\/p>\n<p>In this session, Dan Corbin builds agents live in Claude, ChatGPT, and Microsoft Copilot, including Copilot\u2019s new agent mode. Each demo tackles a real product management workflow, so you can see what changes when you delegate the work instead of prompting for another output.<\/p>\n<p>You\u2019ll leave with:<\/p>\n<ul>\n<li>A framework for deciding which recurring tasks are ready to delegate and where human judgment still matters<\/li>\n<li>Live examples of agents built for real product workflows, not generic productivity demos<\/li>\n<li>A short list of useful first agents you can build this week<\/li>\n<li>A practical way to turn recurring work into playbooks an agent can run<\/li>\n<\/ul>\n<p>Follow along in whichever tool you already use.<\/p>\n","protected":false},"author":2,"featured_media":9004111224895234,"template":"","categories":[],"tags":[],"class_list":["post-9004111224895233","pi-events","type-pi-events","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Building AI Agents for Product Work | Pragmatic Institute<\/title>\n<meta name=\"robots\" content=\"noindex, follow\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Building AI Agents for Product Work | Pragmatic Institute\" \/>\n<meta property=\"og:description\" content=\"Live builds in Claude, ChatGPT, and Microsoft Copilot Most product managers have gotten good at prompting. 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It [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.pragmaticinstitute.com\/resources\/pi-events\/building-ai-agents-for-product-work\/\" \/>\n<meta property=\"og:site_name\" content=\"Pragmatic Institute - Resources\" \/>\n<meta property=\"article:modified_time\" content=\"2026-08-24T21:57:38+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.pragmaticinstitute.com\/resources\/wp-content\/uploads\/sites\/6\/2026\/08\/Webinar-Building-AI-agents-for-product-work.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"675\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" 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