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“The only wrong answer is to do nothing” Enjoy our latest AI in Design case study from the Shopify design team! This one is crammed with many incredible examples of how they work (the last example made me yell “oh no way” when I first saw it). Lots of... show more

Ben Blumenrose

28,939 subscribers

46,937 görüntüleme • 20 gün önce •via X (Twitter)

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Jackie B profil fotoğrafı

Jackie B20 gün önce

@Shopify One of my favorite examples of best-in-class implementation of AI tooling for design... so fun to see how the org has been especially supercharged since @tobi's Ai-is-no-longer-optional memo.

Ian Bach ☯︎ profil fotoğrafı

Ian Bach ☯︎20 gün önce

@Shopify @katarinabatina 👀!!!

robyn park profil fotoğrafı

robyn park20 gün önce

@Shopify really love how much they've prioritized design apprenticeships. would love to see more of that across the industry

Kane profil fotoğrafı

Kane18 gün önce

@jonrundle @Shopify @xyzfennell legend

Alex · AI & UX profil fotoğrafı

Alex · AI & UX19 gün önce

@Shopify a home for fragmented design tools is the chapter title that jumps out at me. everyone talks about the mockups to prototypes jump, but the quieter cost is that the work now lives in five places. did they land on one home for that, or is it still per team?

Kaeli VanFossen | Fine Art & Design 🌴 profil fotoğrafı

Kaeli VanFossen | Fine Art & Design 🌴15 gün önce

@Shopify brb telling my agents to redirect my cv and portfolio to @katarinabatina so I can come play in their lab 🔥🤓

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"AI gets you to average quickly. Your job is to push past that." Here's my new episode with Dylan Field (Figma CEO) where I asked him some tough questions, including: → Can you teach AI design taste? → Do design systems hurt creativity? → What's Figma's role when code is free? Two-thirds of Figma users are now non-designers and it was super interesting to hear Dylan talk about Figma's future. Some quotes from Dylan: "Design is the new code. You'll be designing in a visual-first way before pushing a pull request right to production." "If you're a PM and you think your job is to make docs and slide decks, you're going to love this new world. You get to make things too." "If everyone agrees with your point of view, then you probably don't have one." 📌 Watch now: Thanks to our sponsors: Replit ⠕: Plan, design, and build with AI agents Linear: The AI agent platform for modern teams

Peter Yang

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Our 2026 Design in AI Report is now live! This report is the culmination of thousands of people hours and many late nights to create what we believe is the most comprehensive, well-researched report capturing and synthesizing the state of Design + AI today. While we used AI in many areas, a report like this still required deep thinking, grit, and humans coming together to do what they do best. The final report spans nearly 20k words covering the survey results of over 900 people paired with dozens of qualitative interviews. Over the coming months we will also release 7 beautiful case studies showing how top design teams are working on the ground featuring designers at Anthropic, Framer, Linear, Notion, Shopify, Sierra, and Stripe. This work is a true labor of love to help guide a design community we hold so dear. Link in the comments and please let us know what you think. Your feedback helps us shape how we will evolve this work over the coming years...

Our 2026 Design in AI Report is now live! This report is the culmination of thousands of people hours and many late nights to create what we believe is the most comprehensive, well-researched report capturing and synthesizing the state of Design + AI today. While we used AI in many areas, a report like this still required deep thinking, grit, and humans coming together to do what they do best. The final report spans nearly 20k words covering the survey results of over 900 people paired with dozens of qualitative interviews. Over the coming months we will also release 7 beautiful case studies showing how top design teams are working on the ground featuring designers at Anthropic, Framer, Linear, Notion, Shopify, Sierra, and Stripe. This work is a true labor of love to help guide a design community we hold so dear. Link in the comments and please let us know what you think. Your feedback helps us shape how we will evolve this work over the coming years...

Ben Blumenrose

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The lack of "feature design" is why so many products over time feel hollow or messy. This isn't visual design. This isn't architectural design. I thought that a short video lecture of what feature design is and a real case study of applying it in Ghostty would be helpful. Feature design is the planning step behind how you're going to solve one or more user problems with a product feature: what that feature looks like, how it feels, and not just how its going to tactically solve these specific problems, but how that solution is going to interface with the edges of other features that currently exist or are planned to exist in the future.

The lack of "feature design" is why so many products over time feel hollow or messy. This isn't visual design. This isn't architectural design. I thought that a short video lecture of what feature design is and a real case study of applying it in Ghostty would be helpful. Feature design is the planning step behind how you're going to solve one or more user problems with a product feature: what that feature looks like, how it feels, and not just how its going to tactically solve these specific problems, but how that solution is going to interface with the edges of other features that currently exist or are planned to exist in the future.

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After testing every AI toolchain for a year, this is the only workflow I'm endorsing: Figma → Claude Code (Sonnet 4.5) Here's how I'm building Lorelight: 1. Design the happy path in Figma 2. Feed it to Claude Code via Figma MCP 3. Get a strong foundation in 15 minutes 4. Spend the next 50+ hours iterating (still design work) The design/dev loop that used to be isolated is finally closing. I even built a complete design system in within minutes. Custom components, living documentation, accessibility rules all from the Figma designs. If you're measuring the effectiveness of these tools by whether they can "one-shot" a design, you're consuming too many AI hype commercials. Log off. Then go actually build something with your hands. With AI. With your taste. Stop trying to "one-shot" good shit. And go make stuff with the new tools. For designers who want to ship real products, this is the stack that's getting it done.

After testing every AI toolchain for a year, this is the only workflow I'm endorsing: Figma → Claude Code (Sonnet 4.5) Here's how I'm building Lorelight: 1. Design the happy path in Figma 2. Feed it to Claude Code via Figma MCP 3. Get a strong foundation in 15 minutes 4. Spend the next 50+ hours iterating (still design work) The design/dev loop that used to be isolated is finally closing. I even built a complete design system in within minutes. Custom components, living documentation, accessibility rules all from the Figma designs. If you're measuring the effectiveness of these tools by whether they can "one-shot" a design, you're consuming too many AI hype commercials. Log off. Then go actually build something with your hands. With AI. With your taste. Stop trying to "one-shot" good shit. And go make stuff with the new tools. For designers who want to ship real products, this is the stack that's getting it done.

Tommy Geoco

22,905 görüntüleme • 11 ay önce

THE LIBRARY OF MINDS: EPISODE 3 - Soleio Cuervo (Soleio) Early designer at Facebook & Dropbox, co-inventor of the Like button, and design-driven investor behind Figma, Perplexity, and Delphi. We discuss: • The untold story of the Facebook Like button • Defining the role of “Product Designer” at Facebook • Building world-class design cultures at scale • Balancing speed vs. excellence in product teams • When intuition fails - and data saves you Plus: Lessons in hybrid designer-engineers, hackathon culture, trust & safety, and how AI is redefining great UX. Bonus: Soleio on utility vs. beauty, system-centric design, and why digital minds might be the next design frontier. (00:00) - Intro (01:00) - Who is Soleio Cuervo (02:00) - Early web days: The origins of product design (04:37) - Inventing the ‘product designer’ role at Facebook (07:43) - Culture of speed, ownership, and building at Facebook (11:45) - Shipping fast: The story of Facebook’s Like button (13:54) - When to persist and when to quit: Loonshots, ‘false fails’, and user onboarding at Facebook (17:49) - Transitioning cultures: From Facebook’s speed to Dropbox’s trust (20:54) - Balancing speed with excellence: Lessons for AI-era startups (22:28) - Is speed or quality a stronger differentiator in today’s tech world? (24:35) - Can design be a moat in the age of AI? (27:35) - Rethinking UX in an AI-native world (29:08) - Why Soleio invested in Delphi: The “Oprahbot” idea and digital minds

THE LIBRARY OF MINDS: EPISODE 3 - Soleio Cuervo (Soleio) Early designer at Facebook & Dropbox, co-inventor of the Like button, and design-driven investor behind Figma, Perplexity, and Delphi. We discuss: • The untold story of the Facebook Like button • Defining the role of “Product Designer” at Facebook • Building world-class design cultures at scale • Balancing speed vs. excellence in product teams • When intuition fails - and data saves you Plus: Lessons in hybrid designer-engineers, hackathon culture, trust & safety, and how AI is redefining great UX. Bonus: Soleio on utility vs. beauty, system-centric design, and why digital minds might be the next design frontier. (00:00) - Intro (01:00) - Who is Soleio Cuervo (02:00) - Early web days: The origins of product design (04:37) - Inventing the ‘product designer’ role at Facebook (07:43) - Culture of speed, ownership, and building at Facebook (11:45) - Shipping fast: The story of Facebook’s Like button (13:54) - When to persist and when to quit: Loonshots, ‘false fails’, and user onboarding at Facebook (17:49) - Transitioning cultures: From Facebook’s speed to Dropbox’s trust (20:54) - Balancing speed with excellence: Lessons for AI-era startups (22:28) - Is speed or quality a stronger differentiator in today’s tech world? (24:35) - Can design be a moat in the age of AI? (27:35) - Rethinking UX in an AI-native world (29:08) - Why Soleio invested in Delphi: The “Oprahbot” idea and digital minds

Dara

75,367 görüntüleme • 11 ay önce

AI instead of UI The last few years radically changed how we think about digital products & product design process in general. What we are witnessing right now is a transition where AI is no longer just a feature; it is becoming the infrastructure of interaction. For decades, UI design was rooted in the concept of “Happy Path,” a series of static, linear screens (routes from A to B) designed to funnel users toward a goal. This “one-size-fits-all” approach assumes that all users have the same mental model, which is far from the truth. The rise of AI tools like ChatGPT and Gemini is showing that we are moving into an era of Generative Interfaces. Instead of a designer pre-determining every button and menu, the interface is synthesized in real-time based on user actions. Back in 2019, Gleb Kuznetsov and I were working on the concept of morphing Interface, the idea of a UI that adapts its structure based on user intent. The great thing about this UI is that it was highly dynamic: different users saw different content/contextual actions based on their behavior. This concept was crazy in 2019, but it is highly relevant to the modern state of the product design process. And I strongly believe that it represents the future of UI design. We will move beyond the “AI chatbox" crutch Yes, many products today treat AI as a sidecar (think of Copilots or chatbots pinned to the side of a traditional dashboard), but this is a transitional phase. Why? Because adding a chat window to a 20-year-old software layout is like putting a jet engine on a horse-drawn carriage. That's why the future isn't "AI as an add-on"; it is AI as the Operating System. AI will power generative interfaces that are rooted in anticipatory design: UI won’t wait for a command; it will surface tools based on the user's current environmental context and historical behavior. This evolution changes the very nature of product design, and we will move away from designing pages/screens and toward designing systems of logic.

AI instead of UI The last few years radically changed how we think about digital products & product design process in general. What we are witnessing right now is a transition where AI is no longer just a feature; it is becoming the infrastructure of interaction. For decades, UI design was rooted in the concept of “Happy Path,” a series of static, linear screens (routes from A to B) designed to funnel users toward a goal. This “one-size-fits-all” approach assumes that all users have the same mental model, which is far from the truth. The rise of AI tools like ChatGPT and Gemini is showing that we are moving into an era of Generative Interfaces. Instead of a designer pre-determining every button and menu, the interface is synthesized in real-time based on user actions. Back in 2019, Gleb Kuznetsov and I were working on the concept of morphing Interface, the idea of a UI that adapts its structure based on user intent. The great thing about this UI is that it was highly dynamic: different users saw different content/contextual actions based on their behavior. This concept was crazy in 2019, but it is highly relevant to the modern state of the product design process. And I strongly believe that it represents the future of UI design. We will move beyond the “AI chatbox" crutch Yes, many products today treat AI as a sidecar (think of Copilots or chatbots pinned to the side of a traditional dashboard), but this is a transitional phase. Why? Because adding a chat window to a 20-year-old software layout is like putting a jet engine on a horse-drawn carriage. That's why the future isn't "AI as an add-on"; it is AI as the Operating System. AI will power generative interfaces that are rooted in anticipatory design: UI won’t wait for a command; it will surface tools based on the user's current environmental context and historical behavior. This evolution changes the very nature of product design, and we will move away from designing pages/screens and toward designing systems of logic.

Nick Babich

53,581 görüntüleme • 7 ay önce

She literally broke down how to run evals in Claude Code (built the whole thing live): 01:34 - What people get wrong with evals 04:35 - Why product taste is the alpha now 09:28 - Building a PM agent from one prompt 19:00 - Instrumentation without writing code 22:00 - Watching traces stream in live 28:00 - Getting Claude to write your first eval 33:58 - When vibe evals work and when they don't 48:50 - The self-improving loop (this part is wild) 01:03:00 - Same-day shipping is real 01:06:00 - The context graph unlock

She literally broke down how to run evals in Claude Code (built the whole thing live): 01:34 - What people get wrong with evals 04:35 - Why product taste is the alpha now 09:28 - Building a PM agent from one prompt 19:00 - Instrumentation without writing code 22:00 - Watching traces stream in live 28:00 - Getting Claude to write your first eval 33:58 - When vibe evals work and when they don't 48:50 - The self-improving loop (this part is wild) 01:03:00 - Same-day shipping is real 01:06:00 - The context graph unlock

Aakash Gupta

150,362 görüntüleme • 3 ay önce