“Is this worth my time? Does this bring me productivity, joy, or calm? I think these are the questions design has always helped answer.” Thank you to @joellewenstein and the @AnthropicAI design team for opening up about how you work, the challenges you face, and how you see the role of design evolving on product teams. Our latest AI in Design case study with Anthropic below! 00:00 Design at AI speed
 01:43 The precursor to Claude Design
 03:28 From user researcher to builder
 05:09 Treating code as clay
 08:09 A new rhythm for collaboration
 09:22 What’s worth building

“We don’t want to let the quality bar slip just because we’re shipping more and faster. It just became a question of designing a system to enable that at this newer scale.” Excited to share our latest case study with the @Stripe design team! They gave us a behind-the-scenes look at tools they’ve built across product, brand, and content that allow them to do Stripe-level work at an incredible velocity. AI also clearly lets more people there participate in shipping great product, lets designers go way broader in their explorations, and even lets designers/engineers do work that simply wasn’t possible before AI (wait 'till you see how their brand team uses AI) Thanks @lil_dill and team for showing us what embracing AI effectively can look like! 0:00 – How AI is changing design at Stripe 1:48 – Using ProtoDash for high-fidelity prototyping 4:52 – Maintaining Stripe’s voice at scale with Dante 8:03 – Designing Stripe Press book covers 9:45 – Why now is a creative renaissance

Our AI in Design case study featuring @linear is live! A couple things stood out to me right away as we were talking to @karrisaarinen and team about how they use AI in their flow - 1. They go waaay deeper with AI before doing any work that most teams would categorize as “design” though they rightfully see it as a key part of the design process. This means asking AI for info on how a UI came to be, who has worked on it historically, why a certain change might work or not, etc. They really use AI to deeply understand the problem they’re about to tackle. 2. The way they use AI within Linear gives them a crazy advantage. Imagine asking something like: “What designer has touched this feature in the last 5 years and why does it work the way it does?” Good luck getting a good answer for this at most companies. At Linear they have all that context IN Linear… it’s a huge advantage they have and one they utilize to no end. This approach is an incredible way to save unnecessary iterations and ensure you’re building a product that’s moving the company in the right direction. Lots more great insights and examples in the full case study here -