<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Learning &#8211; Fountn</title>
	<atom:link href="https://fountn.design/resources/learning/feed/" rel="self" type="application/rss+xml" />
	<link>https://fountn.design</link>
	<description>Curated design resources. No clutter. Just flow.</description>
	<lastBuildDate>Mon, 26 Jan 2026 18:48:46 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.9</generator>

<image>
	<url>https://fountn.design/wp-content/uploads/2024/03/cropped-Default-150x150.png</url>
	<title>Learning &#8211; Fountn</title>
	<link>https://fountn.design</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>AI-Readable Design Systems: Prototyping in Cursor</title>
		<link>https://fountn.design/resource/ai-readable-design-systems-prototyping-in-cursor/</link>
		
		<dc:creator><![CDATA[Ozan Öztaskiran]]></dc:creator>
		<pubDate>Mon, 26 Jan 2026 18:48:45 +0000</pubDate>
				<guid isPermaLink="false">https://fountn.design/?post_type=resource&#038;p=17919</guid>

					<description><![CDATA[This article details a framework for creating design systems that AI tools like Cursor can interpret and execute. It moves beyond static asset libraries by establishing a layered structure consisting of specific prompts, mandatory rules, and detailed instructions. By utilizing Model Context Protocols, the system connects design files, technical documentation, and codebases into a single, [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<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>
		
		
		
			</item>
		<item>
		<title>The Rhythm of Your Screen: Mastering Attention in UI Design</title>
		<link>https://fountn.design/resource/the-rhythm-of-your-screen-mastering-attention-in-ui-design/</link>
		
		<dc:creator><![CDATA[Ozan Öztaskiran]]></dc:creator>
		<pubDate>Tue, 20 Jan 2026 08:42:11 +0000</pubDate>
				<guid isPermaLink="false">https://fountn.design/?post_type=resource&#038;p=17834</guid>

					<description><![CDATA[In &#8220;The Rhythm of Your Screen,&#8221; Christopher Butler argues that the length of a webpage is not a barrier to user engagement; rather, the problem lies in a lack of rhythm and structure. Addressing common client concerns about scrolling, Butler cites research showing that while attention does erode as users scroll, they are still willing [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Product Design Process Powered by AI: From Research to Delivery</title>
		<link>https://fountn.design/resource/product-design-process-powered-by-ai-from-research-to-delivery/</link>
		
		<dc:creator><![CDATA[Ozan Öztaskiran]]></dc:creator>
		<pubDate>Mon, 19 Jan 2026 08:04:15 +0000</pubDate>
				<guid isPermaLink="false">https://fountn.design/?post_type=resource&#038;p=17812</guid>

					<description><![CDATA[In &#8220;Product Design Process Powered by AI,&#8221; Nick Babich outlines a strategic approach to evolving the product design workflow in the age of generative AI. He argues that designers must transition from being execution-focused &#8220;pixel pushers&#8221; to &#8220;strategic directors&#8221; who treat AI as a powerful exoskeleton rather than a replacement. The article emphasizes that while [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>MCP for Designers: AI Context Protocol Explained</title>
		<link>https://fountn.design/resource/mcp-for-designers-ai-context-protocol-explained/</link>
		
		<dc:creator><![CDATA[Ozan Öztaskiran]]></dc:creator>
		<pubDate>Fri, 16 Jan 2026 10:00:34 +0000</pubDate>
				<guid isPermaLink="false">https://fountn.design/?post_type=resource&#038;p=17726</guid>

					<description><![CDATA[This resource features a concise explainer video tailored to demystify the Model Context Protocol (MCP) for the design community. Created by Jehad Affoneh, it addresses the rapid evolution of AI, breaking down complex technical concepts into accessible insights that explain what MCP is and why it matters to non-technical professionals. The content effectively bridges the [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>3 Google Labs AI Tools for Design Exploration</title>
		<link>https://fountn.design/resource/3-google-labs-ai-tools-for-design-exploration/</link>
		
		<dc:creator><![CDATA[Ozan Öztaskiran]]></dc:creator>
		<pubDate>Mon, 12 Jan 2026 21:17:10 +0000</pubDate>
				<guid isPermaLink="false">https://fountn.design/?post_type=resource&#038;p=17418</guid>

					<description><![CDATA[This article explores three experimental AI tools from Google Labs that can support designers during the exploration phase of the design process. Instead of focusing on production-ready outputs, the tools are positioned as thinking partners—helping designers generate ideas, explore concepts, and synthesize information more efficiently in the early stages of product and UX work. The [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Can’t Find a UX Job? Practical Advice for Designers Struggling to Get Hired</title>
		<link>https://fountn.design/resource/cant-find-a-ux-job-practical-advice-for-designers-struggling-to-get-hired/</link>
		
		<dc:creator><![CDATA[Ozan Öztaskiran]]></dc:creator>
		<pubDate>Fri, 09 Jan 2026 14:32:37 +0000</pubDate>
				<guid isPermaLink="false">https://fountn.design/?post_type=resource&#038;p=17316</guid>

					<description><![CDATA[This UX Playbook article addresses a common and difficult situation faced by many designers: long job searches with few results. It breaks down why a strong portfolio alone often isn’t enough and explains how hiring funnels actually work, from getting noticed to passing filters, communicating effectively in interviews, and demonstrating fit beyond pure design skills. [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Designing for AI Engineers: UI Patterns &#038; Principles</title>
		<link>https://fountn.design/resource/designing-for-ai-engineers-ui-patterns-principles/</link>
		
		<dc:creator><![CDATA[Ozan Öztaskiran]]></dc:creator>
		<pubDate>Thu, 08 Jan 2026 16:25:06 +0000</pubDate>
				<guid isPermaLink="false">https://fountn.design/?post_type=resource&#038;p=17294</guid>

					<description><![CDATA[This article breaks down practical UI patterns and design principles specifically tailored for AI engineers and developer-focused products. Drawing from real-world experience building AI workflows, it highlights how designers should think differently when designing for highly technical users who value efficiency, density of information, and clarity over visual decoration. The piece covers guiding principles such [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Jobs To Be Done (JTBD) in FigJam – Practical UX Framework Walkthrough</title>
		<link>https://fountn.design/resource/jobs-to-be-done-jtbd-in-figjam-practical-ux-framework-walkthrough/</link>
		
		<dc:creator><![CDATA[Ozan Öztaskiran]]></dc:creator>
		<pubDate>Wed, 07 Jan 2026 20:53:01 +0000</pubDate>
				<guid isPermaLink="false">https://fountn.design/?post_type=resource&#038;p=17266</guid>

					<description><![CDATA[This video walkthrough shows how to apply the Jobs To Be Done (JTBD) framework directly inside FigJam, using a clear, structured canvas to map user context, motivations, and desired outcomes. Nick Babich explains how to frame a strong JTBD statement by connecting situations, user goals, and expected results in a way that keeps teams aligned [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<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>
		
		
		
			</item>
	</channel>
</rss>
