Someone on X recently claimed they “popularized” dithering in modern design—a bold claim for a technique that’s been around since Robert Floyd and Louis Steinberg formalized it in 1976 and Bill Atkinson refined it for the original Macintosh. The design community swiftly reminded them that revival isn’t invention, and that dithering’s current moment owes more to retro-tech aesthetics meeting modern GPU pipelines than to any single designer’s genius.

Speaking of which, here’s a visual explainer by Damar Aji Pramudita that’s worth your time on how dithering actually works. Apparently it’s only part one of three.

Game design is fascinating to me. As designers, “gamification” was all the rage a few years back, inspired by apps like Duolingo that made it fun to progress in a product. Raph Koster outlines a twelve-step, systems-first framework for game design, complete with illustrations. Notice how he’ll use UX terms like “affordance” because ultimately, game design is UX.

In step five, “Feedback,” Koster provides an example:

[The player] can’t learn and get better unless [they] get a whole host of information.

• You need to know what actions – we usually call them verbs — are even available to you. There’s a gas pedal.
• You need to be able to tell you used a verb. You hear the engine growl as you press the pedal.
• You need to see that the use of the verb affected the state of the problem, and how it changed. The spedometer moved!
• You need to be told if the state of the problem is better for your goal, or worse. Did you mean to go this fast?

Sound familiar? It’s Jakob Nielsen’s “Visibility of System Status.”

When I went to design school %#*! years ago, Philip Meggs’ History of Graphic Design was required reading, well, for our graphic design history classes. I remember that nearly all the examples in the book were European men. So I’m glad there’s a new edition coming out that broadens the history to include more.

Cheryl D. Holmes-Miller writing in PRINT Magazine about the forthcoming 7th Edition of Meggs’ History of Graphic Design:

The 7th Edition is a reformation — dismantling the core barriers that have kept many of us from realizing our full potential in this field. It will make a transformative difference for years to come. The next generation of designers will find themselves in the history of graphic design and propel the industry forward.

Holmes-Miller asked the book’s co-editor, Sandra Maxa about the “restructuring of the historical timeline and how this shift might affect educators whose weekly lectures have long relied on the linear storytelling approach.” To which Maxa said:

“To create a new edition that is relevant to students today, we used a more direct writing style and stronger representation of designers from different backgrounds,” she said. “We also advocated for restructuring the new edition around themes instead of chronology to avoid implying a hierarchy that comes with presenting something as ‘the first.’” Maxa continued, “Including diverse voices and practices of graphic design is integral to situating the work of graphic designers today with cultural and social contexts of the past and inviting broader participation and interpretation from readers to construct a shared history of graphic design.”

I suppose there are two types of souvenirs that we can pick up while traveling: mass-manufactured tchotchkes like fridge magnets or snow globes, or local artisan-made trinkets and wares. The latter has come to represent cultures outside of their locales, an opportunity for tourists to take a little bit of their experiences with them home.

Louisa Eunice writing in Design Observer:

The souvenir industry, though vital for many local economies, has long been accused of flattening cultural complexity into digestible clichés, transforming sacred objects into décor, and replacing sustainable materials with cheaper alternatives to meet demand. Yet for countless artisans, participation in that market remains a practical act of endurance: a way to keep culture visible in a world that might otherwise forget it.

So on the flip side, though these souvenirs reduce the cultures of those places to a carved giraffe, sculpted clay bird, or ceremonial mask, I would argue that at least the artifacts can spark conversation.

The fact that a mask can be both a ritual object for the local artisan who made it and a decorative item for the tourist who bought it says more about resilience than dilution. It reveals how objects can inhabit multiple meanings without losing their essence. What we often call “appropriation” may, in these moments, also be adaptation, a negotiation that allows heritage to stay visible, if altered, in the modern world. 

To understand souvenirs this way is to see them not as hollow tokens but as collaborations: between maker and buyer, local and global, art and economy. When tourists view these pieces as design legacies — works that carry labor, history, and symbolism — the exchange becomes more than commercial. It becomes cultural continuity in motion.

In a smart piece for Creative Bloq, Niklas Mortensen dissects the public backlashes against logo redesigns. As designers, we know it’s more than the logo. I mean, sometimes it is the logo and how terribly crafted it is, but most other times, it’s what the redoing of the brand identity represents.

People don’t love brands because they look good. They love them because they’re familiar, consistent, and emotionally resonant. The same way we return to a childhood game or a worn-in pair of trainers – if we see a brand we recognise, we will feel comfortable, content, even safe.

So when a brand ditches its serif, swaps its colours, or goes full minimalist (not design’s finest moment), it can feel like an act of erasure. And while sometimes that change is necessary, the emotional cost should never be underestimated, especially when the brand in question belongs to an organisation that’s been a part of people’s lives for generations.

Done carelessly, a rebrand can fracture the trust and equity a brand has spent decades building.

In the modern era, it was Barack Obama’s 2008 presidential campaign that felt designed. The mark was perfect, the typography consistent—and made Gotham ubiquitous. All the materials just felt they were following brand guidelines—because they were.

In her piece for PRINT Magazine, Amelia Nash gathers five designers to talk about political design. This is a quote from Min Lew, partner at Base Design:

Political design turns ideals into imagery. The best work does more than convince. It invites people in, helping them feel part of something bigger. In a noisy, fragmented media landscape, design can cut through, speaking to emotion before intellect. 

Design doesn’t decide politics, but it shapes how politics is perceived, and perception often becomes reality. The real question is how the design can be done thoughtfully, with integrity, and with intention.

I must admit I’ve tried to read this essay by Frank Chimero—a script from a talk he recently gave—for about a week. I tried to skim it. I tried to fit it into a spare five minutes here and there. But this piece demands active reading. Not because it’s dense. But because it is great.

Chimero reflects on AI and his—and our—relationship to it. How is it being marketed? How do we think about it? How should we use it?

First off, Chimero starts with his conclusion. He believes we should reframe AI to be less like a tool or technology, and more like a musical instrument.

Thinking of AI as an instrument recenters the focus on practice. Instruments require a performance that relies on technique—the horn makes the sound, but how and what you blow into it matters; the drum machine keeps time and plays the samples, but what you sample and how you swing on top of it becomes your signature.

In other words, instruments can surprise you with what they offer, but they are not automatic. In the end, they require a touch. You use a tool, but you play an instrument. It’s a more expansive way of doing, and the doing of it all is important, because that’s where you develop the instincts for excellence. There is no purpose to better machines if they do not also produce better humans.

Then, he wanders off to give examples of four artists and their relationships with technology, stoking his audience—me, us, you—to consider “some more flexibility in how to collaborate with the machine in your own work, creative or otherwise.”

Read the whole piece. Curl up this mid-autumn Sunday afternoon with some hot tea and take the 20–25 minutes to read it and take it in.

Chris Butler wrestles with a generations-old problem in his latest piece: new technologies shortcut the old ways of doing things and therefore quality takes a nosedive. But is it different this time with the tools available to us today?

While design is more accessible than ever, with Adobe experimenting with chat interfaces and Canva offering pro-level design apps for free, putting a tool into the hands of someone doesn’t mean they’ll know how to wield it.

Anyone can now create something that looks professional, that uses modern layouts and typography, that feels designed. But producing something that feels designed does not mean that any design has happened. Most tools don’t ask you what you want someone to do. They don’t force you to make hard choices about hierarchy and priority. They offer you options, and if you don’t already understand the fundamentals of how design guides attention and serves purpose, you’ll end up using too many of them to no end.

Butler concludes that as designers, we’re in a bind because “the pace of change is only accelerating, and it is a serious challenge to designers to determine how much time to spend keeping up.”

You can’t build foundational knowledge while chasing the new. But you can’t ignore the new entirely, or you’ll fall behind. So you split your time, and both efforts can suffer. The fundamentals remain elusive because you’re too busy keeping up. The tools remain half-learned because you’re too busy teaching [design fundamentals to clients].

Butler—nor I—know if there’s a good solution to this problem. Like I said at the start, this is an age-old problem. Friction is a feature, not a bug.

This is just the reality of working in a field that sits at the intersection of human behavior and technological change. Both move, but at different speeds. Human attention, cognition, emotion — these things change slowly, if at all. Technology changes constantly. Design has to navigate both.

And while Butler’s essay never explicitly mentions AI or AI tools, it’s strongly implied. Developers using AI tools to code miss out on the fundamentals of building software. Designers (or their clients) using AI to design face the issues brought up here. Those who use AI to accelerate what they already know, that seems to be The Way.

While this piece by Matias Heikkilä is from a developer’s point-of-view, it’s applicable to designers. He poses a conceit: LLMs are good at coding, but can’t see the bigger picture and build software. To be sure, Cursor and Claude Code reason and produce plans. I’ve given both fairly small products to build. Their plans look good, but when they try to implement, invariably they’ll hit a snag. They’ll confidently say “It’s done!” with a green checkmark emoji. And then when I go to run it, the program invariably fails.

Heikkilä, writing in his company’s blog:

There is old wisdom that says: Coding is easy, software engineering is hard. It seems fair enough to say that LLMs are already able to automate a lot of coding. GPT-5 and the like solve isolated well-defined problems with a pretty nice success rate. Coding, however, is not what most people are getting paid for. Building a production-ready app is not coding, it’s software engineering.

In just about a year, Bluesky has doubled its userbase from 20 million to 40 million. Last year, it benefitted from “the wake of Donald Trump’s re-election as president, and Elon Musk’s continued degradation of X, Bluesky welcomed an exodus of liberals, leftists, journalists, and academic researchers, among other groups.” Writing in his Platformer newsletter, Casey Newton reflects back on the year, surfacing up the challenges Bluesky has tried to solve in reimagining a more “feel-good feed.”

It’s clear that you can build a nicer online environment than X has; in many ways Bluesky already did. What’s less clear is that you can build a Twitter clone that mostly makes people feel good. For as vital and hilarious as Twitter often was, it also accelerated the polarization of our politics and often left users feeling worse than they did before they opened it.

Bluesky’s ingenuity in reimagining feeds and moderation tools has been a boon to social networks, which have happily adopted some of its best ideas. (You can now find “starter packs” on both Threads and Mastodon.) Ultimately, though, it has the same shape and fundamental dynamics as a place that even its most active users called “the Hellsite.”

Bluesky began by rethinking many core assumptions about social networks. To realize its dream of a feel-good feed, though, it will likely need to rethink several more.

I agree with Newton. I’m not sure that in this day and age, building a friendlier, snark- and toxic-free social media platform is possible. Users are too used to hiding behind keyboards. It’s not only the shitposters but also the online mobs who jump on the anything that might seem out of the norm with whatever community a user might be in.

Newton again:

Nate Silver opened the latest front in the Bluesky debate in September with a post about “Blueskyism,” which he defines as “not a political movement so much as a tribal affiliation, a niche set of attitudes and style of discursive norms that almost seem designed in a lab to be as unappealing as possible to anyone outside the clique.” Its hallmarks, he writes, are aggressively punishing dissent, credentialism, and a dedication to the proposition that we are all currently living through the end of the world.

Mobs, woke or otherwise, silence speech and freeze ideas into orthodoxy.

I miss the pre-Elon Musk Twitter. But I can’t help but think it would have become just as polarized and toxic regardless of Musk transforming it into X.

I think the form of text-based social media from the last 20 years is akin to manufacturing tobacco in the mid-1990s. We know it’s harmful. It may be time to slap a big warning label on these platforms and discourage use.

(Truth be told, I’m on the social networks—see the follow icons in the sidebar—but mainly to give visibility into my work here, though largely unsuccessfully.)

Robin Sloan wrote a thought piece exploring what “extended thinking” and “reasoning” models actually mean.

…the models can only “think” by spooling out more text — while human thinking often does the oppo­site: retreats into silence, because it doesn’t have words yet to say what it wants to say.

That’s an interesting point Sloan makes. I believe there’s nuance though.

I’ve long felt that I do my best thinking by writing. When I work through a gnarly design problem, I’m writing first, then sketching, then maybe Figma-ing. But that could be after a walk, a shower, or doing the dishes.

I think the headline is a hard stance, but I appreciate the sentiment. All the best designers and creatives—including developers—I’ve ever worked with do things on the side. Or in Rohit Prakash’s words, they tinker. They’re always making something, learning along the way.

Prakash, writing in his blog:

Acquiring good taste comes through using various things, discarding the ones you don’t like and keeping the ones you do. if you never try various things, you will not acquire good taste.

It’s important for designers to see other designs and use other products—if you’re a software designer. It’s equally important to look up from Dribbble, Behance, Instagram, and even this blog and go experience something unrelated to design. Art, concerts, cooking. All of it gets synthesized through your POV and becomes your taste.

In a very gutsy move, Grammarly is rebranding to Superhuman. I was definitely scratching my head when the company acquired the eponymous email app back in June. Why is this spellcheck-on-steroids company buying an email product?

Turns out the company has been quietly acquiring other products too, like Coda, a collaborative document platform similar to Notion, building the company into an AI-powered productivity suite.

So the name Superhuman makes sense.

Grace Snelling, writing in Fast Company about the rebrand:

[Grammarly CEO Shishir] Mehrotra explains it like this: Grammarly has always run on the “AI superhighway,” meaning that, instead of living on its own platform, Grammarly travels with you to places like Google Docs, email, or your Notes app to help improve your writing. Superhuman will use that superhighway to bring a huge new range of productivity tools to wherever you’re working.

In shedding the Grammarly name, Mehrota says:

“The trouble with the name ‘Grammarly’ is, like many names, its strength is its biggest weakness: it’s so precise,” Mehrotra says. “People’s expectations of what Grammarly can do for them are the reason it’s so popular. You need very little pitch for what it does, because the name explains the whole thing … As we went and looked at all the other things we wanted to be able to do for you, people scratch their heads a bit [saying], ‘Wait, I don’t really perceive Grammarly that way.’”

The company tapped branding agency Smith & Diction, the firm behind Perplexity’s brand identity.

Grammarly began briefing the Smith & Diction team on the rebrand in early 2025, but the company didn’t officially select its new name until late June, when the Superhuman acquisition was completed. For Chara and Mike Smith, the couple behind Smith & Diction, that meant there were only about three months to fully realize Superhuman’s branding.

Ouch, just three months for a complete rebrand. Ambitious indeed, but they hit a homerun with the icon, an arrow cursor which also morphs into a human with a cape, lovingly called “Hero.”

In their case study writeup, one of the Smiths says:

I was working on logo concepts and I was just drawing the basic shapes, you know the ones: triangles, circles, squares, octagons, etc., to see if I could get a story to fall out of any of them. Then I drew this arrow and was like hmm, that kinda looks like a cursor, oh wow it also kinda looks like a cape. I wonder if I put a dot on top of tha…OH MY GOD IT’S A SUPERHERO.

Check out the full case study for example visuals from the rebrand and some behind-the-scenes sketches.

Apologies for sharing back-to-back articles from NN/g, but this is a good comprehensive index of all the AI-related guides the firm has published. Start here if you’re just getting into it.

Highlights from my POV:

• Your AI UX Intern: Meet Ari. AI tools in UX act like junior interns whose output serves as a starting draft needing review, specific instructions, and added context. Their work should be checked and not used for final products or decisions without supervision.
• The Future-Proof Designer. AI speeds up product development and automates design tasks, but creates risks like design marginalization and information overload. Designers must focus on strategic thinking, outcomes, and critical judgment to ensure decisions benefit users and business value.
• Design Taste vs. Technical Skills in the Era of AI. Generative AI has equalized access to design output, but quality depends on creative discernment and taste, which remain essential for impactful results.

Leave it to NN/g to evaluate the AI prompt-to-code tool landscape with some rigor. Huei-Hsin Wang and Megan Brown cover over a dozen tools, including ChatGPT, Claude, UX Pilot, Uizard, Relume, Stitch, Bolt, Lovable, v0, Replit, Figma Make, Magic Patterns, and Subframe. They use a human designer as the control.

Among their conclusions:

AI’s limited grasp of design nuances and inconsistent output make it best suited for ideation, concept exploration, and early-phase prototype testing, rather than later stages. While you likely won’t take an AI-generated prototype straight to production, these tools can help you break through creative blocks and explore new directions quickly.

I think the best part is they shared screenshots of outputs in a FigJam board.

I’ve been a big fan of node-based UIs since I first experimented with Shake in the early 2000s. It’s kind of weird to wrap your head around, especially if you’re used to layers in Photoshop or Figma. The easiest way to think about nodes is to rotate the layer stack 90-degrees. Each node has inputs on the left, a distinct process that it does to the input, and outputs stuff on the right. You connect up multiple nodes to process assets to form your final composition. Popular apps with node-based workflows today include Unreal Engine (Blueprints), DaVinci Resolve (Fusion and Color), and n8n.

ComfyUI is another open source tool that uses the same node graph architecture. Made in 2023 to add some UI to the visual generative AI models like Stable Diffusion appearing around that time, it’s become popular among artists to wield the plethora of image and video gen AI models.

Fast-forward to last week, when Figma announced they had acquired Weavy, a much friendlier and cloud-based version of ComfyUI.

Weavy brings the world’s leading AI models together with professional editing tools on a single, browser-based canvas. With Weavy, you can choose the model you want for a task (e.g. Seedance, Sora, and Veo for cinematic video; Flux and Ideogram for realism; and Nano-Banana or Seedream for precision) and compose powerful primitives using generative AI outputs and hands-on edits (e.g. adjusting lighting, masking an object, color grading a shot). The end result is an inspiring environment for creative exploration and a flexible media pipeline where every output feeds the next.

This node-based approach brings a new level of craft and control to AI generation. Outputs can be branched, remixed, and refined, combining creative exploration with precision and craft. The Weavy team has inspired us with the balance they’ve struck between simplicity, approachability, and power. They’ve also created a tool that’s just a joy to use.

I must admit I had not heard about Weavy before the announcement. I had high hopes for Visual Electric, but it never quite lived up to its ambitions. I proceeded to watch all the official tutorial videos on YouTube and love it. Seems so much easier to use than ComfyUI. Let’s see what Figma does with the product.

In graphic design news, a new version of the Affinity suite dropped last week, and it’s free. Canva purchased Serif, the company behind the Affinity products, last year. After about a year of engineering, they have combined all the products into a single product to offer maximum flexibility. And they made it free.

Of course then, that sparks debate.

Joe Foley, writing for Creative Bloq explains:

…A natural suspicion of big corporations is causing some to worry about what the new Affinity will become. What’s in it for Canva?

Theories abound. Some think the app will start to show adverts like many free mobile apps do. Others think it will be used to train AI (something Canva denies). Some wonder if Canva’s just doing it to spite Adobe. “Their objective was to undermine Adobe, not provide for paying customers. Revenge instead of progress,” one person thinks.

Others fear Affinity’s tools will be left to stagnate. “If you depend on a software for your design work it needs to be regularly updated and developed. Free software never has that pressure and priority to be kept top notch,” one person writes.

AI features are gated behind paid Canva premium subscription plans. This makes sense as AI features have inference costs. As Adobe is going all out with its AI features, gen AI is now table stakes for creative and design programs.

Mnemonics—short audio branding—is one of those trends that come and go. The one for Intel was pretty well-known for a long time and spurred the creation of similar sonic identities (e.g., T-Mobile, Netflix). Apple announced in mid-October that they were dropping the “Plus” from their streaming service to be known simply as “Apple TV.” The news spurred a bunch of punditry around probable confusion with the Apple TV app and Apple TV hardware device.

Yesterday, Apple shared the new identity work that drops the ”+” from the streaming service name and logo. It’s in the form of the opening logo and mnemonic that will appear in front of shows.

Here is a longer version that’ll appear before films.

In an interview, Finneas O’Connell (who goes by his stage name Finneas), brother of pop star Billie Eilish and her main collaborator, spilled the beans on how he came up with it. Chris Willman, writing for Variety:

Speaking via Zoom from his home studio, Finneas points to the piano behind him as a starting point for a fleeting piece of music whose instrumentation isn’t easy to pin down before it’s gone in one ear and out the other at the start of a viewing experience. “I have my upright piano back here, so I sat and started there. I’m always more able to make something quickly on a real instrument than I am with software. I played a chord that felt kind of hopeful and kind of optimistic, but had gravity to it and hopefully had a little bit of an enigmatic, mysterious quality. And so I had this chord thing happening and then I started building the sounds around it. I had these pieces of zinc and I was hitting them and then reversing the audio, and I was playing real piano and then reversing that, and playing these bass synthesizers and then pitching those up and gliding them down.”

Beyond the cool sound, I love how the logo sting seems to be inspired by early TV logo idents like this one for NBC from 1967.

Update November 6, 2025 3:00 PM PT:

Ad Age reports that the logo sting was filmed in-camera! Writing in the industry mag, Tim Nudd says the branding was done by Apple’s longtime agency TBWA\Media Arts Lab and production company Optical Arts, and that its “lush visuals are meant to capture the platform’s cinematic ambitions and remind viewers that Apple TV is where prestige storytelling lives.”

The report includes a link to a 33-second behind-the-scenes video:

I’ve been on the receiving end of Layer 1226 before and it’s not fun. While I’m pretty good with my layer naming hygiene, I’m not perfect. So I welcome anything that can help rename my layers. Apparently, when Adobe showed off this new AI feature at their Adobe MAX user conference last week, it drew a big round of applause. (Figma’s had this feature since June 2024.)

There’s more than just renaming layers though. Adobe is leaning into conversational UI for editing too. For new users coming to editing tools, this makes a lot of sense because the learning curve for Photoshop is very steep. But as I’ve always said, professionals will also need fine-grained controls.

Writing for CNET, Katelyn Chedraoui:

Renaming layers is just one of many things Adobe’s new AI assistants will be able to do. These chatbot-like tools will be added to Photoshop and Express. They have an emphasis on “conversational, agentic” experiences — meaning you can ask the chatbot to make edits, and it can independently handle them.

…

Express’s AI assistant is similar to using a chatbot. Once you toggle on the tool in the upper left corner, a conversation window pops up. You can ask the AI to change the color of an object or remove an obtrusive element. While pro users might be comfortable making those edits manually, the AI assistant might be more appealing to its less experienced users and folks working under a time crunch.

A peek into Adobe’s future reveals more agentic experiences:

Also announced on Tuesday is Project Moonlight, a new platform in beta on Adobe’s AI hub, Firefly. It’s a new tool that hopes to act as a creative partner. With your permission, it uses your data from Adobe platforms and social media accounts to help you create content. For example, you can ask it to come up with 20 ideas for what to do with your newest Lightroom photos based on your most successful Instagram posts in the past. 

These AI efforts represent a range of what conversational editing can look like, Mike Polner, Adobe Firefly’s vice president of product marketing for creators said in an interview. 

“One end of the spectrum is [to] type in a prompt and say, ‘Make my hat blue.’ That’s very simplistic,” said Polner. “With Project Moonlight, it can understand your context, explore and help you come up with new ideas and then help you analyze the content that you already have,” Polner said.

In thinking about the three current AI-native web browsers, Fanny on Medium sees what lessons product designers can take from their different approaches.

On Perplexity Comet:

Design Insight: Comet succeeds by making AI feel like a natural extension of browsing, not an interruption. The sidecar model is brilliant because it respects the user’s primary task (reading, researching, shopping) while offering help exactly when context is fresh. But there’s a trade-off — Comet’s background assistant, which can handle multiple tasks simultaneously while you work, requires extensive permissions and introduces real security concerns.

On ChatGPT Atlas:

Design Insight: Atlas is making a larger philosophical statement — that the future of computing isn’t about better search, it’s about conversation as an interface. The key product decision here is making ChatGPT’s memory and context awareness central. Atlas remembers what sites you’ve visited, what you were working on, and uses that history to personalize responses. Ask “What was that doc I had my presentation plan in?” and it finds it.

On The Browser Company Dia:

Design Insight: Dia is asking the most interesting question — what happens when AI isn’t a sidebar or a search replacement, but a fundamental rethinking of input methods? The insertion cursor, the mouse, the address bar — these are the primitives of computing. Dia is making them intelligent.

She concludes that they “can’t all be right. But they’re probably all pointing at pieces of what comes next.”

I do think it’s a combo and Atlas is likely headed in the right direction. For AI to be truly assistive, it has to have relevant context. Since a lot of our lives are increasingly on the internet via web apps—and nearly everything is a web app these days—ChatGPT’s profile of you will have the most context, including your chats with the chatbot.

I began using Perplexity because I appreciated its accuracy compared with ChatGPT; this was pre-web search. But even with web search built into ChatGPT 5, I still find Perplexity’s (and therefore Comet’s) approach to be more trustworthy.

My conclusion stands though: I’m still waiting on the Arc-Dia-Comet browser smoothie.

Did you know that Apple made Office before Microsoft made Office? It was called AppleWorks and launched in 1984 for the Apple II. They’d make it for the Mac in 1991 and called it ClarisWorks because Apple spun off a software subsidiary for who knows what reason.

Howard Oakley recently wrote a brief history of AppleWorks and shared some nice visuals. Though I wished he included an image from that original Apple II text-based AppleWorks as well.

The good folks at Linear have proven that a design-led company can carve out a space against an entrenched company like Atlassian. They do this by having very strong opinions about how things should work and then pixelfucking the hell out of their products. I truly admire their dedication to craft.

When Apple introduced Liquid Glass, they decided to write their own version of it for more control. Robb Böhnke, writing on Linear’s blog:

Liquid Glass is a beautiful successor to Aqua. Its primary purpose is to feel fluid and friendly for a broad consumer audience. Apple has to design for every kind of app—education, entertainment, banking, fitness—and build systems that adapt to all of them.

We have a different set of constraints. Our users come to Linear to do a specific kind of work in a focused environment. That gives us freedom to push the design in specific ways Apple can’t.

In that sense, we saw an opportunity to take Liquid Glass’s aesthetic qualities—its translucency, depth, and physicality—and apply them with a ProKit philosophy: purpose-built, disciplined, and designed for sustained focus.

ProKit—as Böhnke explained—was Apple’s “pro” theme, the slightly flatter, less flashy big brother to the lickable Aqua. It was “built for professional tools like Final Cut or Logic with complex, information-dense workflows where clarity and control are more important than visual flourish.”

To close us out on Halloween, here’s one more archive full of spooky UX called the Dark Patterns Hall of Shame. It’s managed by a team of designers and researchers, who have dedicated themselves to identifying and exposing dark patterns and unethical design examples on the internet. More than anything, I just love the names some of these dark patterns have, like Confirmshaming, Privacy Zuckering, and Roach Motel.

’Tis the season for online archives. From GQ comes this archive of the work of Virgil Abloh, the multi-hyphenate creative powerhouse who started as an intern at Fendi and rose to found his own streetwear label Off-White, before becoming artistic director of Louis Vuitton’s menswear collection. He had collabs with Nike, IKEA, and artist Jenny Holzer.

I do think my favorite from this archive is his collection of LV bags. I’m used to seeing them in monochromatic colors, not these bright ones.

In a world where case studies dominate portfolios, explaining the problem and sharing the outcomes, a visuals-only gallery feels old fashioned. But Pentagram has earned the right to compile their own online monograph. It is one of the very few agencies in the world who could pull together an archive like this that features over 2,000 projects spanning their 53-year existence.

Try searches like: album covers, New York City, SNL, and Paula Scher.

*The folks at Pentagram aren’t complete heretics. They have a more traditional case studies section here.