Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

“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...

49,647 Aufrufe • vor 2 Monaten •via X (Twitter)

6 Kommentare

Profilbild von Jackie B
Jackie Bvor 2 Monaten

@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.

Profilbild von Ian Bach ☯︎
Ian Bach ☯︎vor 2 Monaten

@Shopify @katarinabatina 👀!!!

Profilbild von robyn park
robyn parkvor 2 Monaten

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

Profilbild von Kane
Kanevor 2 Monaten

@jonrundle @Shopify @xyzfennell legend

Profilbild von Alex · AI & UX
Alex · AI & UXvor 2 Monaten

@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?

Profilbild von Kaeli VanFossen | Fine Art & Design 🌴
Kaeli VanFossen | Fine Art & Design 🌴vor 2 Monaten

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

Ähnliche Videos

How a Chief Design Officer (yours truly) uses AI to design like an IC. This demo is for any designers that haven't yet embraced AI in their workflow. I’m one of two designers working on this plugin. I manage an organization of about 40 designers of various flavors, but I still keep myself in the trenches whenever possible. Lynt is one of these efforts. The examples I share are intentionally very simple to demonstrate how any designer at any level can leverage artificial intelligence to amplify and accelerate their human intelligence. AI is revolutionizing how we work as designers, yet I think of it more like a renaissance; a return to designing in consideration of the medium in which our designs are rendered, much like we did years ago when I first started. Arbitrarily, something like 80% of what we do as designers (in the act of designing) is exploration and iteration. For the past decade or more so much of that has happened in Figma and previously Sketch. These are great tools. But as a result of designing exclusively in a static environment, many have lost the ability to connect ideation with execution. Handholding your work from start to finish eventually gave way to handing off your work, and we never looked back. Artificial intelligence flips all of this on its head, positioning you (the designer) to be the one who first turns your design into code, iterate and iterate again, and experience using your work as users will, literally from day one of your design process. All the while freeing our engineering colleagues to focus on the work that only they can do, while designing alongside them.

Cameron Moll

63,628 Aufrufe • vor 7 Monaten

Magic Patterns (W23) is one of the fastest-growing design tools in AI, helping product teams turn ideas into interactive, code-backed prototypes in minutes. Alex Danilowicz and his co-founder, both front-end engineers, built Magic Patterns to solve a problem they had themselves: finding a better way to turn ideas into something visual. They were among the first teams building prompt-to-design tools back in 2023. In this episode of Design Review, Alex joins YC’s Aaron Epstein to demo Magic Patterns and its new MagicOS canvas, where teams can bring together prompts, images, PRDs, and other context to explore ideas visually. Then they review a handful of startup websites to break down what makes a site feel “vibe coded,” where founders go wrong, and how to make AI-generated design feel more intentional. 02:11 — From YC Pivot to Product-Market Fit 03:44 — Staying Ahead as AI Design Tools Improve 04:37 — Demo: Designing With Magic Patterns 09:52 — MagicOS 11:23 — Designing With Context on a Canvas 14:50 — How to Get Better Results From AI Design Tools 15:35 — How Far Can AI-Generated Design Go? 18:17 — Website Review 1: Ego 23:59 — Website Review 2: Sentient OS 32:01 — Website Review 3: Cerenovus 36:59 — Website Review 4: Slashy 43:33 — How to Develop Better Design Taste 44:20 — Why Everyone at Magic Patterns Talks to Users 45:07 — Balancing Speed and Design Quality 46:07 — The Future of Design and Magic Patterns

Y Combinator

35,565 Aufrufe • vor 21 Tagen