While chat is powerful, for most products chatting with the underlying LLM should be more of a debug interface – a fallback mode – and not the primary UX.
I agree. Pike breaks down the various non-chat UIs in his post.
How LLMs are making traditional apps feel broken.
allenpike.com
There has been an explosion of AI-powered prompt-to-code tools within the last year. The space began with full-on integrated development environments (IDEs) like Cursor and Windsurf. These enabled developers to use leverage AI assistants right inside their coding apps. Then came a tools like v0, Lovable, and Replit, where users could prompt screens into existence at first, and before long, entire applications.
A couple weeks ago, I decided to test out as many of these tools as I could. My aim was to find the app that would combine AI assistance, design capabilities, and the ability to use an organization’s coded design system.
While my previous essay was about the future of product design, this article will dive deep into a head-to-head between all eight apps that I tried. I recorded the screen as I did my testing, so I’ve put together a video as well, in case you didn’t want to read this.
Karri Saarinen, writing for the Linear blog:
Unbounded AI, much like a river without banks, becomes powerful but directionless. Designers need to build the banks and bring shape to the direction of AI’s potential. But we face a fundamental tension in that AI sort of breaks our usual way of designing things, working back from function, and shaping the form.
I love the metaphor of AI being the a river and we designers are the banks. Feels very much in line with my notion that we need to become even better curators.
Saarinen continues, critiquing the generic chatbox being the primary form of interacting with AI:
One way I visualize this relationship between the form of traditional UI and the function of AI is through the metaphor of a ‘workbench’. Just as a carpenter’s workbench is familiar and purpose-built, providing an organized environment for tools and materials, a well-designed interface can create productive context for AI interactions. Rather than being a singular tool, the workbench serves as an environment that enhances the utility of other tools – including the ‘magic’ AI tools.
Software like Linear serves as this workbench. It provides structure, context, and a specialized environment for specific workflows. AI doesn’t replace the workbench, it’s a powerful new tool to place on top of it.
It’s interesting. I don’t know what Linear is telegraphing here, but if I had to guess, I wonder if it’s closer to being field-specific or workflow-specific, similar to Generative Fill in Photoshop. It’s a text field—not textarea—limited to a single workflow.
For decades, interfaces have guided users along predefined roads. Think files and folders, buttons and menus, screens and flows. These familiar structures organize information and provide the comfort of knowing where you are and what's possible.
linear.appAs a longtime Apple fanboy, it’s a little hard for me to appreciate the visual design of Windows—Microsoft is a nemesis, if you will. But I will tip my hat to the design practitioners there who’ve made the company finally pay attention to design.
Side note, reminds me of a story about what Steve Jobs once told me when I was designing the welcome animation for Mac OS X.
At the turn of the millennium, the widespread adoption of Microsoft Windows was a pivotal moment in technology. It played a crucial role in the integration of personal computers into both business and home environments. Windows introduced features that revolutionized network management and enhanced support for mobile computing, paving the way for the modern, connected workplace. Harold Gomez, Jeremy Knudsen, and Kim Sealls are three designers at Microsoft who have contributed to Windows design since 2000 and witnessed its design evolution. From the iconic Windows XP to the sleek Windows 11, Windows has constantly evolved to reflect the changing needs and preferences of users worldwide. In this roundtable discussion, we delve into the remarkable journey of Windows design.
microsoft.designSuch a gorgeous visual essay from Amelia Wattenberger. Beyond being wonderful to look at, the content is just as thought-provoking. Her experiment towards the middle of the piece is interesting. In our world of flat design and design systems, Amelia is truly innovating.
With increasing amounts of AI chatbots, we're losing even more: texture, color, shape. Instead of interactive controls, we have a text input. Want to edit an image? Type a command. Adjust a setting? Type into a text box. Learn something? Read another block of text.
wattenberger.comI was sitting on a barstool next to my wife in a packed restaurant in Little Italy. We were the lone Kansas City Chiefs supporters in a nest full of hipster Philadelphia Eagles fans. After Jon Batiste finished his fantastic rendition of the national anthem, and the teams took the field for kickoff, I noticed something. The scorebug—the broadcast industry’s term for the lower-third or chyron graphic at the bottom of the screen—was different, and in a good way.
I posted about it seven minutes into the first quarter, saying I appreciated “the minimalistic lower-thirds for this Super Bowl broadcast.” It was indeed refreshing, a break from the over-the-top 3D-animated sparkling. I thought the graphics were clear and utilitarian while being exquisitely-designed. They weren’t distracting from the action. As with any good interface design, this new scorebug kept the focus on the players and the game, not itself. I also thought they were a long-delayed response to Apple’s Friday Night Baseball scorebug.
In the early 2000s to the mid-oughts, every designer I knew wanted to be featured on the FWA, a showcase for cutting-edge web design. While many of the earlier sites were Flash-based, it’s also where I discovered the first uses of parallax, Paper.js, and Three.js. Back then, websites were meant to be explored and their interfaces discovered.
A grid of winners from The FWA in 2009. Source: Rob Ford.
One of my favorite sites of that era was Burger King’s Subservient Chicken, where users could type free text into a chat box to command a man dressed in a chicken suit. In a full circle moment that perfectly captures where we are today, we now type commands into chat boxes to tell AI what to do.
Apple finally launched its Vision Pro “spatial computing” device in early February. We immediately saw TikTok memes of influencers being ridiculous. I wrote about my hope for the Apple Vision Pro back in June 2023, when it was first announced. When preorders opened for Vision Pro in January, I told myself I wouldn’t buy it. I couldn’t justify the $3,500 price tag. Out of morbid curiosity, I would lurk in the AVP subreddits to live vicariously through those who did take the plunge.
After about a month of reading all the positives from users about the device, I impulsively bought an Apple Vision Pro. I placed my order online at noon and picked it up just two hours later at an Apple Store near me.
Many great articles and YouTube videos have already been produced, so this post won’t be a top-to-bottom review of the Apple Vision Pro. Instead, I’ll try to frame it from my standpoint as someone who has designed user experiences for VR.
A project by Michael Feeney, Art Director for Product Design.
swallowmygraphicdesign.comThe design blog that connects the dots others miss. Written by Roger Wong.
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