Cap Watkins, Head of Product Design at Lattice, was catching up with a former top-performing designer who was afraid other designers were mad at her for getting all the “cool” projects.

What made those projects glamorous and desirable was her and how she approached the work. There’s that old nugget about making your own luck and that is something she excelled at. She had a unique ability to take really hard or nebulous problems (both design and team-related) and morph them into something amazing that got people excited. Instead of getting discouraged, she’d respond to friction with more energy, more enthusiasm. In so many ways, she was a transformative presence on any team and project.

In other words, this designer cared and made the best of all her assignments.

I enjoyed this interview with Notion’s CEO, Ivan Zhao over at the Decoder podcast, with substitute host, Casey Newton. What I didn’t quite get when I first used Notion was the “LEGO” aspect of it. Their vision is to build business software that is highly malleable and configurable to do all sorts of things. Here’s Zhao:

Well, because it didn’t quite exist with software. If you think about the last 15 years of [software-as-a-service], it’s largely people building vertical point solutions. For each buyer, for each point, that solution sort of makes sense. The way we describe it is that it’s like a hard plastic solution for your problem, but once you have 20 different hard plastic solutions, they sort of don’t fit well together. You cannot tinker with them. As an end user, you have to jump between half a dozen of them each day.

That’s not quite right, and we’re also inspired by the early computing pioneers who in the ‘60s and ‘70s thought that computing should be more LEGO-like rather than like hard plastic. That’s what got me started working on Notion a long time ago, when I was reading a computer science paper back in college.

From a user experience POV, Notion is both simple and exceedingly complicated. Taking notes is easy. Building the system for a workflow, not so much.

In the second half, Newton (gently) presses Zhao on the impact of AI on the workforce and how productivity software like Notion could replace headcount.

Newton: Do you think that AI and Notion will get to a point where executives will hire fewer people, because Notion will do it for them? Or are you more focused on just helping people do their existing jobs?

Zhao: We’re actually putting out a campaign about this, in the coming weeks or months. We want to push out a more amplifying, positive message about what Notion can do for you. So, imagine the billboard we’re putting out. It’s you in the center. Then, with a tool like Notion or other AI tools, you can have AI teammates. Imagine that you and I start a company. We’re two co-founders, we sign up for Notion, and all of a sudden, we’re supplemented by other AI teammates, some taking notes for us, some triaging, some doing research while we’re sleeping.

Zhao dodges the “hire fewer people” part of the question and instead, answers with “amplifying” people or making them more productive.

As a child of immigrant parents, I grew up learning English from watching PBS, Sesame Street, specifically. But there were other favorites like 3-2-1 Contact, The Electric Company, and of course, Mr. Roger’s Neighborhood. The logo, with its head looking like a P was seared into my developing brain.

So I’m incredibly saddened to hear that the Corporation for Public Broadcasting, the government-funded entity behind PBS and NPR, will cease operations on September 30, 2025, because of a recent bill passed by the Republican-controlled Congress and signed into law by President Trump.

While PBS and NPR won’t disappear, it will be harder for those networks to stay afloat, now solely dependent on donations.

Lilly Smith, writing for Fast Company:

More than 70% of CPB’s annual federal appropriation goes directly to more than 1,500 local public media stations, according to a web page of its financials. This loss in funding could force local stations, especially in rural areas, to shut down, according to the CPB. Local member stations are independent and locally owned and operated, according to NPR. As a public-private partnership, local PBS stations get about 15% of their revenue from federal funding.

She reached out to Tom Geismar, who redesigned the PBS logo in 1984—the original was by Herb Lubalin and Ernie Smith in 1971. He had this perspective:

There is an ironic tie-in between the government decision to cut off all funding to public television and public radio, and what prompted the redesign of the PBS logo back in the early 1980s.

That was also a difficult time, financially, for the Public Broadcasting Service, and especially the stations in more remote regions of the country. Much of the public equated PBS with the major television networks CBS, NBC and ABC, and presumed that, like those major institutions, PBS was the parent of and significant funder for all the local public television stations throughout the country. But, in fact, the reality is somewhat the opposite. Although PBS local affiliates received a portion of funding from the federal government, it is the individual stations that have the responsibility to do public fund raising, and PBS, in a sense, works for them.

Because of this confusion, the PBS leadership felt that their existing logo (a famous design by by Herb Lubalin) needed to be more than just the classic 3-initials mark, something more evocative of a public-benefit system serving all people. Thus the “everyone” mark was born.

Geismar ends with, “And now, once again, with federal government funding stopped, it is the stations in the less populous regions who will suffer the most.”

Ben Davies-Romano argues that the AI chat box is our new design interface:

Every interaction with a large language model starts the same way: a blinking cursor in a blank text field. That unassuming box is more than an input — it’s the interface between our human intent and the model’s vast, probabilistic brain.

This is where the translation happens. We pour in the nuance, constraints, and context of our ideas; the model converts them into an output. Whether it’s generating words, an image, a video sequence, or an interactive prototype, every request passes through this narrow bridge.

It’s the highest-stakes, lowest-fidelity design surface I’ve ever worked with: a single field that stands between human creativity and an engine capable of reshaping it into almost any form, albeit with all the necessary guidance and expertise applied.

In other words, don't just say "Make it better," but guide the AI instead.

That’s why a vague, lazy prompt, like “make it better”, is the design equivalent of telling a junior designer “make it intuitive” and walking away. You’ll get something generic, safe, and soulless, not because the AI “missed the brief,” but because there was no brief.

Without clear stakes, a defined brand voice, and rich context, the system will fill in the blanks with its default, most average response. And “average” is rarely what design is aiming for.

And he makes a point that designers should be leading the charge on showing others what generative AI can do:

In the age of AI, it shouldn’t be everyone designing, per say. It should be designers using AI as an extension of our craft. Bringing our empathy, our user focus, our discipline of iteration, and our instinct for when to stop generating and start refining. AI is not a replacement for that process; it’s a multiplier when guided by skilled hands.

So, let’s lead. Let’s show that the real power of AI isn’t in what it can generate, but in how we guide it — making it safer, sharper, and more human. Let’s replace the fear and the gimmicks with clarity, empathy, and intentionality.

The blank prompt is our new canvas. And friends, we need to be all over it.

There are over 1,800 font families in Google Fonts. While as designers, I’m sure were grateful for the trove of free fonts, good typefaces in the library are hard to spot.

Brand identity darlings Smith & Diction dropped a catalog of “Usable Google Fonts.” In a LinkedIn post, they wrote, “Screw it, here's all of the google fonts that are actually good categorized by ‘vibe’.”

Huzzah! It’s in the form of a public Figma file. Enjoy.

Christopher K. Wong argues that desirability is a key part of design that helps decide which features users really want:

To give a basic definition, desirability is a strategic part of UX that revolves around a single user question: Have you defined (and solved) the right problem for users?

In other words, before drawing a single box or arrow, have you done your research and discovery to know you’re solving a pain point?

The way the post is written makes it hard to get at a succinct definition, but here’s my take. Desirability is about ensuring a product or feature is truly wanted, needed, and chosen by users—not just visual appeal—making it a core pillar for impactful design decisions and prioritization. And designers should own this.

Yesterday, OpenAI launched GPT-5, their latest and greatest model that replaces the confusing assortment of GPT-4o, o3, o4-mini, etc. with just two options: GPT-5 and GPT-5 pro. The reasoning is built in and the new model is smart enough to know what to think harder, or when a quick answer suffices.

Simon Willison deep dives into GPT-5, exploring its mix of speed and deep reasoning, massive context limits, and competitive pricing. He sees it as a steady, reliable default for everyday work rather than a radical leap forward:

I’ve mainly explored full GPT-5. My verdict: it’s just good at stuff. It doesn’t feel like a dramatic leap ahead from other LLMs but it exudes competence—it rarely messes up, and frequently impresses me. I’ve found it to be a very sensible default for everything that I want to do. At no point have I found myself wanting to re-run a prompt against a different model to try and get a better result.

It's a long technical read but interesting nonetheless.

Jay Hoffman, writing in his excellent The History of the Web website, reflects on Kevin Kelly's 2005 Wired piece that celebrated the explosive growth of blogging—50 million blogs, one created every two seconds—and predicted a future powered by open participation and user-created content. Kelly was right about the power of audiences becoming creators, but he missed the crucial detail: 2005 would mark the peak of that open web participation before everyone moved into centralized platforms.

There are still a lot of blogs, 600 million by some accounts. But they have been supplanted over the years by social media networks. Commerce on the web has consolidated among fewer and fewer sites. Open source continues to be a major backbone to web technologies, but it is underfunded and powered almost entirely by the generosity of its contributors. Open API’s barely exist. Forums and comment sections are finding it harder and harder to beat back the spam. Users still participate in the web each and every day, but it increasingly feels like they do so in spite of the largest web platforms and sites, not because of them.

My blog—this website—is a direct response to the consolidation. This site and its content are owned and operated by me and not stuck behind a login or paywall to be monetized by Meta, Medium, Substack, or Elon Musk. That is the open web.

Hoffman goes on to say, “The web was created for participation, by its nature and by its design. It can’t be bottled up long.” He concludes with:

Independent journalists who create unique and authentic connections with their readers are now possible. Open social protocols that experts truly struggle to understand, is being powered by a community that talks to each other.

The web is just people. Lots of people, connected across global networks. In 2005, it was the audience that made the web. In 2025, it will be the audience again.

In Part I of this series on the design talent crisis, I wrote about the struggles recent grads have had finding entry-level design jobs and what might be causing the stranglehold on the design job market. In Part II, I discussed how industry and education need to change in order to ensure the survival of the profession.

Part III: Adaptation Through Action 

Like most Gen X kids, I grew up with a lot of freedom to roam. By fifth grade, I was regularly out of the house. My friends and I would go to an arcade in San Francisco’s Fisherman’s Wharf called The Doghouse, where naturally, they served hot dogs alongside their Joust and TRON cabinets. But we would invariably go to the Taco Bell across the street for cheap pre-dinner eats. In seventh grade—this is 1986—I walked by a ComputerLand on Van Ness Avenue and noticed a little beige computer with a built-in black and white CRT. The Macintosh screen was actually pale blue and black, but more importantly, showed MacPaint. It was my first exposure to creating graphics on a computer, which would eventually become my career.

Desktop publishing had officially begun a year earlier with the introduction of Aldus PageMaker and the Apple LaserWriter printer for the Mac, which enabled WYSIWYG (What You See Is What You Get) page layouts and high-quality printed output. A generation of designers who had created layouts using paste-up techniques with tools and materials like X-Acto knives, Rapidograph pens, rubyliths, photostats, and rubber cement had to start learning new skills. Typesetters would eventually be phased out in favor of QuarkXPress. A decade of transition would revolutionize the industry, only to be upended again by the web.

Figma is adding to its keyboard shortcuts to improve navigation and selection for power users and for keyboard-only users. It’s a win-win that improves accessibility and efficiency. Sarah Kelley, product marketer at Figma writes:

For millions, navigating digital tools with a keyboard isn’t just about preference for speed and ergonomics—it’s a fundamental need. …

We’re introducing a series of new features that remove barriers for keyboard-only designers across most Figma products. Users can now pan the canvas, insert objects, and make precise selections quickly and easily. And, with improved screen reader support, these actions are read aloud as users work, making it easier to stay oriented.

Nice work!

My former colleague from Organic, Christian Haas—now ECD at YouTube—has been experimenting with AI video generation recently. He’s made a trilogy of short films called AI Jobs.

You can watch part one above 👆, but don’t sleep on parts two and three.

Haas put together a “behind the scenes” article explaining his process. It’s fascinating and I’ll want to play with video generation myself at some point.

I started with a rough script, but that was just the beginning of a conversation. As I started generating images, I was casting my characters and scouting locations in real time. What the model produced would inspire new ideas, and I would rewrite the script on the fly. This iterative loop continued through every stage. Decisions weren't locked in; they were fluid. A discovery made during the edit could send me right back to "production" to scout a new location, cast a new character and generate a new shot. This flexibility is one of the most powerful aspects of creating with Gen AI.

It’s a wonderful observation Haas has made—the workflow enabled by gen AI allows for more creative freedom. In any creative endeavor where the production of the final thing is really involved and utilizes a significant amount of labor and materials, be it a film, commercial photography, or software, planning is a huge part. We work hard to spec out everything before a crew of a hundred shows up on set or a team of highly-paid engineers start coding. With gen AI, as shown here with Google’s Veo 3, you have more room for exploration and expression.

UPDATE: I came across this post from Rory Flynn after I published this. He uses diagrams to direct Veo 3.

For my series on the Design Talent Crisis (see Part I, Part II, and Part III) I interviewed five recent graduates from California College of the Arts (CCA) and San Diego City College. I’m an alum of CCA and I used to teach at SDCC. There’s a mix of folks from both the graphic design and interaction design disciplines. 

Meet the Grads

If these enthusiastic and immensely talented designers are available and you’re in a position to hire, please reach out to them!

Benedict Allen

For the past year, CPG behemoth Unilever has been “working with marketing services group Brandtech to build up its Beauty AI Studio: a bespoke, in-house system inside its beauty and wellbeing business. Now in place across 18 different markets (the U.S. and U.K. among them), the studio is being used to make assets for paid social, programmatic display inventory and e-commerce usage across brands including Dove Intensive Repair, TRESemme Lamellar Shine and Vaseline Gluta Hya.”

Sam Bradley, writing in Digiday:

The system relies on Pencil Pro, a generative AI application developed by Brandtech Group. The tool draws on several large language models (LLMs), as well as API access to Meta and TikTok for effectiveness measurement. It’s already used by hearing-care brand Amplifon to rapidly produce text and image assets for digital ad channels.

In Unilever’s process, marketers use prompts and their own insights about target audiences to generate images and video based on 3D renders of each product, a practice sometimes referred to as “digital twinning.” Each brand in a given market is assigned a “BrandDNAi” — an AI tool that can retrieve information about brand guidelines and relevant regulations and that provides further limitations to the generative process.

So far, they haven’t used this system to generate AI humans. Yet.

Coincidentally, I was considering adding a service designer to my headcount plan when this article came across my feeds. Perfect timing. It’s hard to imagine that service design as a discipline is so young—only since 2012 according to the author.

Joe Foley, writing in Creative Bloq:

As a discipline, service design is still relatively new. A course at the Royal College of Art in London (RCA) only began in 2012 and many people haven't even heard of the term. But that's starting to change.

He interviews designer Clive Grinyer, whose new book on service design has just come out. He was co-founder of the design consultancy Tangerine, Director of Design and Innovation for the UK Design Council, and Head of Service Design at the Royal College of Art.

Griner:

Great service design is often invisible as it solves problems and removes barriers, which isn’t necessarily noticed as much as a shiny new product. The example of GDS (Government Digital Service) redesigning every government department from a service design perspective and removing many frustrating and laborious aspects of public life from taxing a car to getting a passport, is one of the best.

The key difference between service design and UX is that it’s end product is not something on a screen:

But service design is not just the experience we have through the glass of a screen or a device: it’s designed from the starting point of the broader objective and may include many other channels and touchpoints. I think it was Colin Burns who said a product is just a portal to a service.

In other words, if you open the aperture of what user experience means, and take on the challenge of designing real-world processes, flows, and interaction—that is service design.

In Part I of this series, I wrote about the struggles recent grads have had finding entry-level design jobs and what might be causing the stranglehold on the design job market.

Part II: Building New Ladders 

When I met Benedict Allen, he had just finished with Portfolio Review a week earlier. That’s the big show all the design students in the Graphic Design program at San Diego City College work toward. It’s a nice event that brings out the local design community where seasoned professionals review the portfolios of the graduating students.

Allen was all smiles and relief. “I want to dabble in different aspects of design because the principles are generally the same.” He goes on to mention how he wants to start a fashion brand someday, DJ, try 3D. “I just want to test and try things and just have fun! Of course, I’ll have my graphic design job, but I don’t want that to be the end. Like when the workday ends, that’s not the end of my creativity.” He was bursting with enthusiasm.

Luke Wroblewski, writing in his blog:

Across several of our companies, software development teams are now "out ahead" of design. To be more specific, collaborating with AI agents (like Augment Code) allows software developers to move from concept to working code 10x faster. This means new features become code at a fast and furious pace.

When software is coded this way, however, it (currently at least) lacks UX refinement and thoughtful integration into the structure and purpose of a product. This is the work that designers used to do upfront but now need to "clean up" afterward. It's like the development process got flipped around. Designers used to draw up features with mockups and prototypes, then engineers would have to clean them up to ship them. Now engineers can code features so fast that designers are ones going back and cleaning them up.

This is what I’ve been secretly afraid of. That we would go back to the times when designers were called in to do cleanup. Wroblewski says:

Instead of waiting for months, you can start playing with working features and ideas within hours. This allows everyone, whether designer or engineer, an opportunity to learn what works and what doesn’t. At its core rapid iteration improves software and the build, use/test, learn, repeat loop just flipped, it didn't go away.

Yeah, or the feature will get shipped this way and be stuck this way because startups move fast and move on.

My take is that as designers, we need to meet the moment and figure out how to build design systems and best practices into the agentic workflows our developer counterparts are using.

Kendra Albert, writing in her blog post about Heavyweight, a new tool she built to create “extremely law-firm-looking” letters:

Sometimes, you don’t need a lawyer, you just need to look like you have one.

That’s the idea behind Heavyweight, a project that democratizes the aesthetics of (in lieu of access to) legal representation. Heavyweight is a free, online, and open-source tool that lets you give any complaint you have extremely law-firm-looking formatting and letterhead. Importantly, it does so without ever using any language that would actually claim that the letter was written by a lawyer.

In many ways, this excellent article by Kaustubh Saini for Final Round AI’s blog is a cousin to my essay on the design talent crisis. But it’s about what happens when people “become” developers and only know vibe coding.

The appeal is obvious, especially for newcomers facing a brutal job market. Why spend years learning complex programming languages when you can just describe what you want in plain English? The promise sounds amazing: no technical knowledge required, just explain your vision and watch the AI build it.

In other words, these folks don’t understand the code and, well, bad things can happen.

The most documented failure involves an indie developer who built a SaaS product entirely through vibe coding. Initially celebrating on social media that his "saas was built with Cursor, zero hand written code," the story quickly turned dark.

Within weeks, disaster struck. The developer reported that "random things are happening, maxed out usage on api keys, people bypassing the subscription, creating random shit on db." Being non-technical, he couldn't debug the security breaches or understand what was going wrong. The application was eventually shut down permanently after he admitted "Cursor keeps breaking other parts of the code."

This failure illustrates the core problem with vibe coding: it produces developers who can generate code but can't understand, debug, or maintain it. When AI-generated code breaks, these developers are helpless.

I don’t foresee something this disastrous with design. I mean, a newbie designer wielding an AI-enabled Canva or Figma can’t tank a business alone because the client will have eyes on it and won’t let through something that doesn’t work. It could be a design atrocity, but it’ll likely be fine.

This can happen to a designer using vibe coding tools, however. Full disclosure: I’m one of them. This site is partially vibe-coded. My Severance fan project is entirely vibe-coded.

But back to the idea of a talent crisis. In the developer world, it’s already happening:

The fundamental problem is that vibe coding creates what experts call "pseudo-developers." These are people who can generate code but can't understand, debug, or maintain it. When AI-generated code breaks, these developers are helpless.

In other words, they don’t have the skills necessary to be developers because they can’t do the basics. They can’t debug, don’t understand architecture, have no code review skills, and basically have no fundamental knowledge of what it means to be a programmer. “They miss the foundation that allows developers to adapt to new technologies, understand trade-offs, and make architectural decisions.”

Again, assuming our junior designers have the requisite fundamental design skills, not having spent time developing their craft and strategic skills through experience will be detrimental to them and any org that hires them.

This is gorgeous work from Collins in their rebrand for Muse Group, developers of music apps like Ultimate Guitar, MuseScore, Audacity, and MuseClass. Paul Moore, writing in It’s Nice That:

One of the issues, [chief creative officer] Nick [Ace] argues, in the design industry is a fixation on branding tech as “software from the future”, relying on literal representations from the 1980s that have created dull and homogeneous visuals that shy away from the timelessness of creativity. “Instead of showcasing technical specs or outlandish interfaces, we centered the brand around the raw experience of musical creation, itself,” says Nick. “Rather than depicting the tools, we visualized the outcomes—the resonance, the harmony, the creative breakthrough that happens when technical barriers disappear.”

Sonos announced yesterday that interim CEO Tom Conrad was made permanent. From their press release:

Sonos has achieved notable progress under Mr. Conrad’s leadership as Interim CEO. This includes setting a new standard for the quality of Sonos’ software and product experience, clearing the path for a robust new product pipeline, and launching innovative new software enhancements to flagship products Sonos Ace and Arc Ultra.

Conrad surely navigated this landmine well after the disastrous app redesign that wiped almost $500 million from the company’s market value and cost CEO Patrick Spence his job. My sincere hope is that Conrad continues to rebuild Sonos’s reputation by continuing to improve their products.

This is the first part in a three-part series about the design talent crisis. Read Part II and Part III.

Part I: The Vanishing Bottom Rung 

Erika Kim’s path to UX design represents a familiar pandemic-era pivot story, yet one that reveals deeper currents about creative work and economic necessity. Armed with a 2020 film and photography degree from UC Riverside, she found herself working gig photography—graduations, band events—when the creative industries collapsed. The work satisfied her artistic impulses but left her craving what she calls “structure and stability,” leading her to UX design. The field struck her as an ideal synthesis, “I’m creating solutions for companies. I’m working with them to figure out what they want, and then taking that creative input and trying to make something that works best for them.”

Since graduating from the interaction design program at San Diego City College a year ago, she’s had three internships and works retail part-time to pay the bills. “I’ve been in survival mode,” she admits. On paper, she’s a great candidate for any junior position. Speaking with her reveals a very thoughtful and resourceful young designer. Why hasn’t she been able to land a full-time job? What’s going on in the design job market? 

Let's rewind 25 years and remember what websites and web technology used to look like. Kevin Gut:

This website is a trip down memory lane. I'm not trying to tell you to stop modern web development. This website uses technologies not available at the time the content here is about.

Elizabeth Goodspeed contextualizes today’s growing design influencers against designers-cum-artists like April Greiman and Stefan Sagmeister. Along with Tibor Kalman, Jessica Walsh, and Wade and Leta, all of these designers put themselves into their work.

Other designers ran with similar instincts. 40 Days of Dating, a joint project by Jessica Walsh and Timothy Goodman created in 2013, was presented as a kind of art-directed relationship experiment: two friends, both single, agreed to date each other for 40 days (40 days being the purported time needed to build a habit). The project was presented through highly polished daily updates with lush photography, motion graphics, custom lettering, and a parade of commissioned work from other artists – all accompanied by alarming candid journal entries from both parties about the dates they were going on. It wasn’t exactly a design project in the traditional sense, but it was unmistakably design-led; the relationship itself was the content, but it was design that made it viral.

These self-directed, clientless projects remind me of MFA design theses where design is the medium for self-expression. Bringing it back to 2025, Godspeed writes:

Designers film themselves in their bedrooms and running errands, narrating design decisions and venting about clients along the way. Just as remote work expects us to perform constant busyness, design influencing demands a continuous performance of creative output. …Brands have jumped in on the trend, too. Where once a designer might have been hired to create packaging or campaigns behind the scenes, many are now brought forward as faces of collaborations – they’re photographed in their studios and interviewed about their process as part of launch. The designer’s body, personality, and public profile become a commercial asset.

And of course, like with all content creators, it becomes a job that just might require more work than it seems.

Influencing can seem like a good, low-lift side-hustle at first. Most designers already have tons of unused work and in-progress sketches to share. Why not just post it and see what happens? But anyone who’s ever had to write captions or cut reels knows that making content is, in fact, harder than it looks. The more energy that goes into showcasing work, the less time there is to actually make work, even if you want to. “Influencing” can quickly become a time suck.

For nearly three years, Arc from The Browser Company has been my daily driver. To be sure, there was a little bit of a learning curve. Tabs disappeared after a day unless you pinned them. Then they became almost like bookmarks. Tabs were on the left side of the window, not at the top. Spaces let me organize my tabs based on use cases like personal, work, or finances. I could switch between tabs using control-Tab and saw little thumbnails of the pages, similar to the app switcher on my Mac. Shift-command-C copied the current page’s URL. 

All these little interface ideas added up to a productivity machine for web jockeys like myself. And so, I was saddened to hear in May that The Browser Company stopped actively developing Arc in favor of a new AI-powered browser called Dia. (They are keeping Arc updated with maintenance releases.)

They had started beta-testing Dia with college students first and just recently opened it up to Arc members. I finally got access to Dia a few weeks ago. 

But before diving into Dia, I should mention I also got access to another AI browser, Perplexity’s Comet about a week ago. I’m on their Pro plan but somehow got an invite in my email. I had thought it was limited to those on their much more expensive Max plan only. Shhh.

It’s no secret that I am a big fan of Severance, the Apple TV+ show that has 21 Emmy nominations this year. I made a fan project earlier in the year that generates Outie facts for your Innie.

After launching a teaser campaign back in April, Atomic Keyboard is finally taking pre-orders for their Severance-inspired keyboard just for Macrodata Refinement department users. The show based the MDR terminals on the Data General Dasher D2 terminal from 1977. So this new keyboard includes three layouts:

1. “Innie” which is show-accurate, meaning no Escape, no Option, and no Control keys, and includes the trackball
2. “Outie,” a 60% layout that includes modern modifier keys and the trackball
3. “Dasher” which replicates the DG terminal layout

It’s not cheap. The final retail price will be $899, but they’re offering a pre-Kickstarter price of $599.