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		<title>The ChatGPT Crisis of 2026: AI Prompts vs. UX Experience</title>
		<link>https://fountn.design/resource/the-chatgpt-crisis-of-2026-ai-prompts-vs-ux-experience/</link>
		
		<dc:creator><![CDATA[Ozan Öztaskiran]]></dc:creator>
		<pubDate>Sun, 25 Jan 2026 10:23:28 +0000</pubDate>
				<guid isPermaLink="false">https://fountn.design/?post_type=resource&#038;p=17892</guid>

					<description><![CDATA[&#8220;The ChatGPT Crisis of 2026,&#8221; Srivats Mutalik argues that the UX design profession is facing an existential threat from advanced AI models capable of executing complex design tasks in seconds. The article posits that work which previously required a decade of experience to master—such as synthesizing user research, generating detailed personas, and creating high-fidelity UI [&#8230;]]]></description>
		
		
		
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		<title>Sub-Agents Directory: Copy-Paste Prompts for Claude Code</title>
		<link>https://fountn.design/resource/sub-agents-directory-copy-paste-prompts-for-claude-code/</link>
		
		<dc:creator><![CDATA[Ozan Öztaskiran]]></dc:creator>
		<pubDate>Sun, 25 Jan 2026 10:23:21 +0000</pubDate>
				<guid isPermaLink="false">https://fountn.design/?post_type=resource&#038;p=17894</guid>

					<description><![CDATA[Sub-Agents Directory is a specialized resource for developers using Claude Code, offering a searchable collection of over 200 pre-written &#8220;sub-agent&#8221; prompts. These prompts are designed to instruct the AI to adopt highly specific technical personas—such as an &#8220;Angular Architect,&#8221; &#8220;Rust Engineer,&#8221; or &#8220;DevOps Incident Responder&#8221;—allowing users to instantly leverage deep, domain-specific expertise for their coding [&#8230;]]]></description>
		
		
		
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		<title>AI Design Field Guide: A Resource for the New Era of Designers</title>
		<link>https://fountn.design/resource/ai-design-field-guide-a-resource-for-the-new-era-of-designers/</link>
		
		<dc:creator><![CDATA[Ozan Öztaskiran]]></dc:creator>
		<pubDate>Tue, 20 Jan 2026 08:42:05 +0000</pubDate>
				<guid isPermaLink="false">https://fountn.design/?post_type=resource&#038;p=17836</guid>

					<description><![CDATA[The AI Design Field Guide is a curated online publication dedicated to defining and supporting a new breed of creative professional: the &#8220;AI Designer.&#8221; Recognizing that there is no standard textbook for designing with artificial intelligence, this project serves as a dynamic, living record of insights, techniques, and reflections from industry pioneers. It addresses designers [&#8230;]]]></description>
		
		
		
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		<title>Product Manager Prompts: AI Toolkit for Strategy &#038; Execution</title>
		<link>https://fountn.design/resource/product-manager-prompts-ai-toolkit-for-strategy-execution/</link>
		
		<dc:creator><![CDATA[Ozan Öztaskiran]]></dc:creator>
		<pubDate>Mon, 12 Jan 2026 21:17:03 +0000</pubDate>
				<guid isPermaLink="false">https://fountn.design/?post_type=resource&#038;p=17420</guid>

					<description><![CDATA[This repository provides a library of Generative AI prompts tailored for product management professionals. Compatible with tools like ChatGPT and Claude, it includes templates for user stories, market research, and product strategy. The collection distinguishes itself by using conversational prompts that guide users through complex problem-solving frameworks rather than simply generating static text. The resource [&#8230;]]]></description>
		
		
		
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		<title>10 ChatGPT Prompts UX Designers Use Daily to Work Faster</title>
		<link>https://fountn.design/resource/10-chatgpt-prompts-ux-designers-use-daily-to-work-faster/</link>
		
		<dc:creator><![CDATA[Ozan Öztaskiran]]></dc:creator>
		<pubDate>Tue, 06 Jan 2026 11:55:48 +0000</pubDate>
				<guid isPermaLink="false">https://fountn.design/?post_type=resource&#038;p=17205</guid>

					<description><![CDATA[This article on Medium shares ten practical ChatGPT prompts that a UX/Product Designer uses daily to move faster, communicate more clearly, and reduce friction in cross-functional work. Instead of abstract AI advice, it focuses on real scenarios designers face—unclear feedback, vague stakeholder requests, messy Jira tickets, and rough UX copy. Each prompt is framed around [&#8230;]]]></description>
		
		
		
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		<title>The Master Prompt: How to Make ChatGPT Write Its Own Perfect Prompts</title>
		<link>https://fountn.design/resource/the-master-prompt-how-to-make-chatgpt-write-its-own-perfect-prompts/</link>
		
		<dc:creator><![CDATA[Ozan Öztaskiran]]></dc:creator>
		<pubDate>Mon, 05 Jan 2026 11:28:19 +0000</pubDate>
				<guid isPermaLink="false">https://fountn.design/?post_type=resource&#038;p=17187</guid>

					<description><![CDATA[This resource introduces a &#8220;Super Prompt&#8221; strategy designed to replace extensive libraries of specific use-case prompts. Instead of collecting individual scripts for emails, coding, or design, the author provides a single meta-prompt that instructs ChatGPT to act as an &#8220;Expert Prompt Architect.&#8221; This master command conditions the AI to analyze a user&#8217;s basic request, identify [&#8230;]]]></description>
		
		
		
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		<title>PromptHero: The #1 AI Prompt Search Engine &#038; Marketplace</title>
		<link>https://fountn.design/resource/prompthero-the-1-ai-prompt-search-engine-marketplace/</link>
		
		<dc:creator><![CDATA[Ozan Öztaskiran]]></dc:creator>
		<pubDate>Sun, 04 Jan 2026 09:28:56 +0000</pubDate>
				<guid isPermaLink="false">https://fountn.design/?post_type=resource&#038;p=17157</guid>

					<description><![CDATA[PromptHero is a comprehensive search engine and community platform dedicated to generative AI. It aggregates millions of high-quality prompts for leading models such as Stable Diffusion, Midjourney, and ChatGPT, organizing them into accessible categories like portraits, anime, and architecture. The platform serves as both a repository for inspiration and an educational hub, offering resources like [&#8230;]]]></description>
		
		
		
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		<title>Prompt Lab: Curated Design Prompts for AI Image Generation</title>
		<link>https://fountn.design/resource/promptlab-ai-prompt-engineering-resources-for-designers/</link>
		
		<dc:creator><![CDATA[Ozan Öztaskiran]]></dc:creator>
		<pubDate>Thu, 25 Dec 2025 10:04:51 +0000</pubDate>
				<guid isPermaLink="false">https://fountn.design/?post_type=resource&#038;p=16843</guid>

					<description><![CDATA[Prompt Lab is a curated collection of well-crafted prompts designed to produce visually strong results with generative AI tools. It focuses on design-oriented outputs—such as illustrations, gradients, 3D scenes, and visual styles—making it easy to copy a prompt and generate refined visuals without extensive trial and error. The resource is useful for designers, creatives, and [&#8230;]]]></description>
		
		
		
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		<title>Aided Prompt Understanding: UX Design Patterns to Build AI Prompting Skills</title>
		<link>https://fountn.design/resource/aided-prompt-understanding-ux-design-patterns-to-build-ai-prompting-skills/</link>
		
		<dc:creator><![CDATA[Ozan Öztaskiran]]></dc:creator>
		<pubDate>Tue, 09 Dec 2025 13:57:20 +0000</pubDate>
				<guid isPermaLink="false">https://fountn.design/?post_type=resource&#038;p=16402</guid>

					<description><![CDATA[“Aided Prompt Understanding: UX Design Patterns to Build AI Prompting Skills” is an article by Jakob Nielsen that argues prompt engineering is not enough; people also need help understanding what their AI prompts actually did and why the system responded in a particular way. He frames this as an “articulation barrier”: users struggle to see [&#8230;]]]></description>
		
		
		
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		<title>Prompt Engineering &#8211; 60+ page whitepaper by Lee Boonstra (Google)</title>
		<link>https://fountn.design/resource/prompt-engineering-60-page-whitepaper-by-lee-boonstra-google/</link>
		
		<dc:creator><![CDATA[Ozan Öztaskiran]]></dc:creator>
		<pubDate>Sat, 06 Dec 2025 21:57:00 +0000</pubDate>
				<guid isPermaLink="false">https://fountn.design/?post_type=resource&#038;p=16362</guid>

					<description><![CDATA[“Prompt Engineering” is a 60+ page whitepaper by Lee Boonstra (Google) that explains how to design effective prompts and configurations for large language models, with a primary focus on Gemini in Vertex AI but principles that generalize to other APIs. It starts by framing LLMs as next-token prediction engines, then walks through how prompt wording, [&#8230;]]]></description>
		
		
		
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