Category: Blog

Picture this. You’ve joined a squad at your company that’s designing new product features with an emphasis on automation or AI. Or your company has just implemented a personalization engine. Either way, you’re designing with data. Now what? When it comes to designing for personalization, there are many cautionary tales, no overnight successes, and few guides for the perplexed. 

Between the fantasy of getting it right and the fear of it going wrong—like when we encounter “persofails” in the vein of a company repeatedly imploring everyday consumers to buy additional toilet seats—the personalization gap is real. It’s an especially confounding place to be a digital professional without a map, a compass, or a plan.

For those of you venturing into personalization, there’s no Lonely Planet and few tour guides because effective personalization is so specific to each organization’s talent, technology, and market position. 

But you can ensure that your team has packed its bags sensibly.

There’s a DIY formula to increase your chances for success. At minimum, you’ll defuse your boss’s irrational exuberance. Before the party you’ll need to effectively prepare.

We call it prepersonalization.

Behind the music

Consider Spotify’s DJ feature, which debuted this past year.

We’re used to seeing the polished final result of a personalization feature. Before the year-end award, the making-of backstory, or the behind-the-scenes victory lap, a personalized feature had to be conceived, budgeted, and prioritized. Before any personalization feature goes live in your product or service, it lives amid a backlog of worthy ideas for expressing customer experiences more dynamically.

So how do you know where to place your personalization bets? How do you design consistent interactions that won’t trip up users or—worse—breed mistrust? We’ve found that for many budgeted programs to justify their ongoing investments, they first needed one or more workshops to convene key stakeholders and internal customers of the technology. Make yours count.

​From Big Tech to fledgling startups, we’ve seen the same evolution up close with our clients. In our experiences with working on small and large personalization efforts, a program’s ultimate track record—and its ability to weather tough questions, work steadily toward shared answers, and organize its design and technology efforts—turns on how effectively these prepersonalization activities play out.

Time and again, we’ve seen effective workshops separate future success stories from unsuccessful efforts, saving countless time, resources, and collective well-being in the process.

A personalization practice involves a multiyear effort of testing and feature development. It’s not a switch-flip moment in your tech stack. It’s best managed as a backlog that often evolves through three steps: 

1. customer experience optimization (CXO, also known as A/B testing or experimentation)
2. always-on automations (whether rules-based or machine-generated)
3. mature features or standalone product development (such as Spotify’s DJ experience)

This is why we created our progressive personalization framework and why we’re field-testing an accompanying deck of cards: we believe that there’s a base grammar, a set of “nouns and verbs” that your organization can use to design experiences that are customized, personalized, or automated. You won’t need these cards. But we strongly recommend that you create something similar, whether that might be digital or physical.

Set your kitchen timer

How long does it take to cook up a prepersonalization workshop? The surrounding assessment activities that we recommend including can (and often do) span weeks. For the core workshop, we recommend aiming for two to three days. Here’s a summary of our broader approach along with details on the essential first-day activities.

The full arc of the wider workshop is threefold:

1. Kickstart: This sets the terms of engagement as you focus on the opportunity as well as the readiness and drive of your team and your leadership. .
2. Plan your work: This is the heart of the card-based workshop activities where you specify a plan of attack and the scope of work.
3. Work your plan: This phase is all about creating a competitive environment for team participants to individually pitch their own pilots that each contain a proof-of-concept project, its business case, and its operating model.

Give yourself at least a day, split into two large time blocks, to power through a concentrated version of those first two phases.

Kickstart: Whet your appetite

We call the first lesson the “landscape of connected experience.” It explores the personalization possibilities in your organization. A connected experience, in our parlance, is any UX requiring the orchestration of multiple systems of record on the backend. This could be a content-management system combined with a marketing-automation platform. It could be a digital-asset manager combined with a customer-data platform.

Spark conversation by naming consumer examples and business-to-business examples of connected experience interactions that you admire, find familiar, or even dislike. This should cover a representative range of personalization patterns, including automated app-based interactions (such as onboarding sequences or wizards), notifications, and recommenders. We have a catalog of these in the cards. Here’s a list of 142 different interactions to jog your thinking.

This is all about setting the table. What are the possible paths for the practice in your organization? If you want a broader view, here’s a long-form primer and a strategic framework.

Assess each example that you discuss for its complexity and the level of effort that you estimate that it would take for your team to deliver that feature (or something similar). In our cards, we divide connected experiences into five levels: functions, features, experiences, complete products, and portfolios. Size your own build here. This will help to focus the conversation on the merits of ongoing investment as well as the gap between what you deliver today and what you want to deliver in the future.

Next, have your team plot each idea on the following 2×2 grid, which lays out the four enduring arguments for a personalized experience. This is critical because it emphasizes how personalization can not only help your external customers but also affect your own ways of working. It’s also a reminder (which is why we used the word argument earlier) of the broader effort beyond these tactical interventions.

Each team member should vote on where they see your product or service putting its emphasis. Naturally, you can’t prioritize all of them. The intention here is to flesh out how different departments may view their own upsides to the effort, which can vary from one to the next. Documenting your desired outcomes lets you know how the team internally aligns across representatives from different departments or functional areas.

The third and final kickstart activity is about naming your personalization gap. Is your customer journey well documented? Will data and privacy compliance be too big of a challenge? Do you have content metadata needs that you have to address? (We’re pretty sure that you do: it’s just a matter of recognizing the relative size of that need and its remedy.) In our cards, we’ve noted a number of program risks, including common team dispositions. Our Detractor card, for example, lists six stakeholder behaviors that hinder progress.

Effectively collaborating and managing expectations is critical to your success. Consider the potential barriers to your future progress. Press the participants to name specific steps to overcome or mitigate those barriers in your organization. As studies have shown, personalization efforts face many common barriers.

At this point, you’ve hopefully discussed sample interactions, emphasized a key area of benefit, and flagged key gaps? Good—you’re ready to continue.

Hit that test kitchen

Next, let’s look at what you’ll need to bring your personalization recipes to life. Personalization engines, which are robust software suites for automating and expressing dynamic content, can intimidate new customers. Their capabilities are sweeping and powerful, and they present broad options for how your organization can conduct its activities. This presents the question: Where do you begin when you’re configuring a connected experience?

What’s important here is to avoid treating the installed software like it were a dream kitchen from some fantasy remodeling project (as one of our client executives memorably put it). These software engines are more like test kitchens where your team can begin devising, tasting, and refining the snacks and meals that will become a part of your personalization program’s regularly evolving menu.

The ultimate menu of the prioritized backlog will come together over the course of the workshop. And creating “dishes” is the way that you’ll have individual team stakeholders construct personalized interactions that serve their needs or the needs of others.

The dishes will come from recipes, and those recipes have set ingredients.

Verify your ingredients

Like a good product manager, you’ll make sure—andyou’ll validate with the right stakeholders present—that you have all the ingredients on hand to cook up your desired interaction (or that you can work out what needs to be added to your pantry). These ingredients include the audience that you’re targeting, content and design elements, the context for the interaction, and your measure for how it’ll come together. 

This isn’t just about discovering requirements. Documenting your personalizations as a series of if-then statements lets the team: 

1. compare findings toward a unified approach for developing features, not unlike when artists paint with the same palette; 
2. specify a consistent set of interactions that users find uniform or familiar; 
3. and develop parity across performance measurements and key performance indicators too. 

This helps you streamline your designs and your technical efforts while you deliver a shared palette of core motifs of your personalized or automated experience.

Compose your recipe

What ingredients are important to you? Think of a who-what-when-why construct: 

• Who are your key audience segments or groups?
• What kind of content will you give them, in what design elements, and under what circumstances?
• And for which business and user benefits?

We first developed these cards and card categories five years ago. We regularly play-test their fit with conference audiences and clients. And we still encounter new possibilities. But they all follow an underlying who-what-when-why logic.

Here are three examples for a subscription-based reading app, which you can generally follow along with right to left in the cards in the accompanying photo below. 

1. Nurture personalization: When a guest or an unknown visitor interacts with  a product title, a banner or alert bar appears that makes it easier for them to encounter a related title they may want to read, saving them time.
2. Welcome automation: When there’s a newly registered user, an email is generated to call out the breadth of the content catalog and to make them a happier subscriber.
3. Winback automation: Before their subscription lapses or after a recent failed renewal, a user is sent an email that gives them a promotional offer to suggest that they reconsider renewing or to remind them to renew.

A useful preworkshop activity may be to think through a first draft of what these cards might be for your organization, although we’ve also found that this process sometimes flows best through cocreating the recipes themselves. Start with a set of blank cards, and begin labeling and grouping them through the design process, eventually distilling them to a refined subset of highly useful candidate cards.

You can think of the later stages of the workshop as moving from recipes toward a cookbook in focus—like a more nuanced customer-journey mapping. Individual “cooks” will pitch their recipes to the team, using a common jobs-to-be-done format so that measurability and results are baked in, and from there, the resulting collection will be prioritized for finished design and delivery to production.

Better kitchens require better architecture

Simplifying a customer experience is a complicated effort for those who are inside delivering it. Beware anyone who says otherwise. With that being said,  “Complicated problems can be hard to solve, but they are addressable with rules and recipes.”

When personalization becomes a laugh line, it’s because a team is overfitting: they aren’t designing with their best data. Like a sparse pantry, every organization has metadata debt to go along with its technical debt, and this creates a drag on personalization effectiveness. Your AI’s output quality, for example, is indeed limited by your IA. Spotify’s poster-child prowess today was unfathomable before they acquired a seemingly modest metadata startup that now powers its underlying information architecture.

You can definitely stand the heat…

Personalization technology opens a doorway into a confounding ocean of possible designs. Only a disciplined and highly collaborative approach will bring about the necessary focus and intention to succeed. So banish the dream kitchen. Instead, hit the test kitchen to save time, preserve job satisfaction and security, and safely dispense with the fanciful ideas that originate upstairs of the doers in your organization. There are meals to serve and mouths to feed.

This workshop framework gives you a fighting shot at lasting success as well as sound beginnings. Wiring up your information layer isn’t an overnight affair. But if you use the same cookbook and shared recipes, you’ll have solid footing for success. We designed these activities to make your organization’s needs concrete and clear, long before the hazards pile up.

While there are associated costs toward investing in this kind of technology and product design, your ability to size up and confront your unique situation and your digital capabilities is time well spent. Don’t squander it. The proof, as they say, is in the pudding.

I offer a single bit of advice to friends and family when they become new parents: When you start to think that you’ve got everything figured out, everything will change. Just as you start to get the hang of feedings, diapers, and regular naps, it’s time for solid food, potty training, and overnight sleeping. When you figure those out, it’s time for preschool and rare naps. The cycle goes on and on.

The same applies for those of us working in design and development these days. Having worked on the web for almost three decades at this point, I’ve seen the regular wax and wane of ideas, techniques, and technologies. Each time that we as developers and designers get into a regular rhythm, some new idea or technology comes along to shake things up and remake our world.

How we got here

I built my first website in the mid-’90s. Design and development on the web back then was a free-for-all, with few established norms. For any layout aside from a single column, we used table elements, often with empty cells containing a single pixel spacer GIF to add empty space. We styled text with numerous font tags, nesting the tags every time we wanted to vary the font style. And we had only three or four typefaces to choose from: Arial, Courier, or Times New Roman. When Verdana and Georgia came out in 1996, we rejoiced because our options had nearly doubled. The only safe colors to choose from were the 216 “web safe” colors known to work across platforms. The few interactive elements (like contact forms, guest books, and counters) were mostly powered by CGI scripts (predominantly written in Perl at the time). Achieving any kind of unique look involved a pile of hacks all the way down. Interaction was often limited to specific pages in a site.

The birth of web standards

At the turn of the century, a new cycle started. Crufty code littered with table layouts and font tags waned, and a push for web standards waxed. Newer technologies like CSS got more widespread adoption by browsers makers, developers, and designers. This shift toward standards didn’t happen accidentally or overnight. It took active engagement between the W3C and browser vendors and heavy evangelism from folks like the Web Standards Project to build standards. A List Apart and books like Designing with Web Standards by Jeffrey Zeldman played key roles in teaching developers and designers why standards are important, how to implement them, and how to sell them to their organizations. And approaches like progressive enhancement introduced the idea that content should be available for all browsers—with additional enhancements available for more advanced browsers. Meanwhile, sites like the CSS Zen Garden showcased just how powerful and versatile CSS can be when combined with a solid semantic HTML structure.

Server-side languages like PHP, Java, and .NET overtook Perl as the predominant back-end processors, and the cgi-bin was tossed in the trash bin. With these better server-side tools came the first era of web applications, starting with content-management systems (particularly in the blogging space with tools like Blogger, Grey Matter, Movable Type, and WordPress). In the mid-2000s, AJAX opened doors for asynchronous interaction between the front end and back end. Suddenly, pages could update their content without needing to reload. A crop of JavaScript frameworks like Prototype, YUI, and jQuery arose to help developers build more reliable client-side interaction across browsers that had wildly varying levels of standards support. Techniques like image replacement let crafty designers and developers display fonts of their choosing. And technologies like Flash made it possible to add animations, games, and even more interactivity.

These new technologies, standards, and techniques reinvigorated the industry in many ways. Web design flourished as designers and developers explored more diverse styles and layouts. But we still relied on tons of hacks. Early CSS was a huge improvement over table-based layouts when it came to basic layout and text styling, but its limitations at the time meant that designers and developers still relied heavily on images for complex shapes (such as rounded or angled corners) and tiled backgrounds for the appearance of full-length columns (among other hacks). Complicated layouts required all manner of nested floats or absolute positioning (or both). Flash and image replacement for custom fonts was a great start toward varying the typefaces from the big five, but both hacks introduced accessibility and performance problems. And JavaScript libraries made it easy for anyone to add a dash of interaction to pages, although at the cost of doubling or even quadrupling the download size of simple websites.

The web as software platform

The symbiosis between the front end and back end continued to improve, and that led to the current era of modern web applications. Between expanded server-side programming languages (which kept growing to include Ruby, Python, Go, and others) and newer front-end tools like React, Vue, and Angular, we could build fully capable software on the web. Alongside these tools came others, including collaborative version control, build automation, and shared package libraries. What was once primarily an environment for linked documents became a realm of infinite possibilities.

At the same time, mobile devices became more capable, and they gave us internet access in our pockets. Mobile apps and responsive design opened up opportunities for new interactions anywhere and any time.

This combination of capable mobile devices and powerful development tools contributed to the waxing of social media and other centralized tools for people to connect and consume. As it became easier and more common to connect with others directly on Twitter, Facebook, and even Slack, the desire for hosted personal sites waned. Social media offered connections on a global scale, with both the good and bad that that entails.

Want a much more extensive history of how we got here, with some other takes on ways that we can improve? Jeremy Keith wrote “Of Time and the Web.” Or check out the “Web Design History Timeline” at the Web Design Museum. Neal Agarwal also has a fun tour through “Internet Artifacts.”

Where we are now

In the last couple of years, it’s felt like we’ve begun to reach another major inflection point. As social-media platforms fracture and wane, there’s been a growing interest in owning our own content again. There are many different ways to make a website, from the tried-and-true classic of hosting plain HTML files to static site generators to content management systems of all flavors. The fracturing of social media also comes with a cost: we lose crucial infrastructure for discovery and connection. Webmentions, RSS, ActivityPub, and other tools of the IndieWeb can help with this, but they’re still relatively underimplemented and hard to use for the less nerdy. We can build amazing personal websites and add to them regularly, but without discovery and connection, it can sometimes feel like we may as well be shouting into the void.

Browser support for CSS, JavaScript, and other standards like web components has accelerated, especially through efforts like Interop. New technologies gain support across the board in a fraction of the time that they used to. I often learn about a new feature and check its browser support only to find that its coverage is already above 80 percent. Nowadays, the barrier to using newer techniques often isn’t browser support but simply the limits of how quickly designers and developers can learn what’s available and how to adopt it.

Today, with a few commands and a couple of lines of code, we can prototype almost any idea. All the tools that we now have available make it easier than ever to start something new. But the upfront cost that these frameworks may save in initial delivery eventually comes due as upgrading and maintaining them becomes a part of our technical debt.

If we rely on third-party frameworks, adopting new standards can sometimes take longer since we may have to wait for those frameworks to adopt those standards. These frameworks—which used to let us adopt new techniques sooner—have now become hindrances instead. These same frameworks often come with performance costs too, forcing users to wait for scripts to load before they can read or interact with pages. And when scripts fail (whether through poor code, network issues, or other environmental factors), there’s often no alternative, leaving users with blank or broken pages.

Where do we go from here?

Today’s hacks help to shape tomorrow’s standards. And there’s nothing inherently wrong with embracing hacks—for now—to move the present forward. Problems only arise when we’re unwilling to admit that they’re hacks or we hesitate to replace them. So what can we do to create the future we want for the web?

Build for the long haul. Optimize for performance, for accessibility, and for the user. Weigh the costs of those developer-friendly tools. They may make your job a little easier today, but how do they affect everything else? What’s the cost to users? To future developers? To standards adoption? Sometimes the convenience may be worth it. Sometimes it’s just a hack that you’ve grown accustomed to. And sometimes it’s holding you back from even better options.

Start from standards. Standards continue to evolve over time, but browsers have done a remarkably good job of continuing to support older standards. The same isn’t always true of third-party frameworks. Sites built with even the hackiest of HTML from the ’90s still work just fine today. The same can’t always be said of sites built with frameworks even after just a couple years.

Design with care. Whether your craft is code, pixels, or processes, consider the impacts of each decision. The convenience of many a modern tool comes at the cost of not always understanding the underlying decisions that have led to its design and not always considering the impact that those decisions can have. Rather than rushing headlong to “move fast and break things,” use the time saved by modern tools to consider more carefully and design with deliberation.

Always be learning. If you’re always learning, you’re also growing. Sometimes it may be hard to pinpoint what’s worth learning and what’s just today’s hack. You might end up focusing on something that won’t matter next year, even if you were to focus solely on learning standards. (Remember XHTML?) But constant learning opens up new connections in your brain, and the hacks that you learn one day may help to inform different experiments another day.

Play, experiment, and be weird! This web that we’ve built is the ultimate experiment. It’s the single largest human endeavor in history, and yet each of us can create our own pocket within it. Be courageous and try new things. Build a playground for ideas. Make goofy experiments in your own mad science lab. Start your own small business. There has never been a more empowering place to be creative, take risks, and explore what we’re capable of.

Share and amplify. As you experiment, play, and learn, share what’s worked for you. Write on your own website, post on whichever social media site you prefer, or shout it from a TikTok. Write something for A List Apart! But take the time to amplify others too: find new voices, learn from them, and share what they’ve taught you.

Go forth and make

As designers and developers for the web (and beyond), we’re responsible for building the future every day, whether that may take the shape of personal websites, social media tools used by billions, or anything in between. Let’s imbue our values into the things that we create, and let’s make the web a better place for everyone. Create that thing that only you are uniquely qualified to make. Then share it, make it better, make it again, or make something new. Learn. Make. Share. Grow. Rinse and repeat. Every time you think that you’ve mastered the web, everything will change.

In reading Joe Dolson’s recent piece on the intersection of AI and accessibility, I absolutely appreciated the skepticism that he has for AI in general as well as for the ways that many have been using it. In fact, I’m very skeptical of AI myself, despite my role at Microsoft as an accessibility innovation strategist who helps run the AI for Accessibility grant program. As with any tool, AI can be used in very constructive, inclusive, and accessible ways; and it can also be used in destructive, exclusive, and harmful ones. And there are a ton of uses somewhere in the mediocre middle as well.

I’d like you to consider this a “yes… and” piece to complement Joe’s post. I’m not trying to refute any of what he’s saying but rather provide some visibility to projects and opportunities where AI can make meaningful differences for people with disabilities. To be clear, I’m not saying that there aren’t real risks or pressing issues with AI that need to be addressed—there are, and we’ve needed to address them, like, yesterday—but I want to take a little time to talk about what’s possible in hopes that we’ll get there one day.

Alternative text

Joe’s piece spends a lot of time talking about computer-vision models generating alternative text. He highlights a ton of valid issues with the current state of things. And while computer-vision models continue to improve in the quality and richness of detail in their descriptions, their results aren’t great. As he rightly points out, the current state of image analysis is pretty poor—especially for certain image types—in large part because current AI systems examine images in isolation rather than within the contexts that they’re in (which is a consequence of having separate “foundation” models for text analysis and image analysis). Today’s models aren’t trained to distinguish between images that are contextually relevant (that should probably have descriptions) and those that are purely decorative (which might not need a description) either. Still, I still think there’s potential in this space.

As Joe mentions, human-in-the-loop authoring of alt text should absolutely be a thing. And if AI can pop in to offer a starting point for alt text—even if that starting point might be a prompt saying What is this BS? That’s not right at all… Let me try to offer a starting point—I think that’s a win.

Taking things a step further, if we can specifically train a model to analyze image usage in context, it could help us more quickly identify which images are likely to be decorative and which ones likely require a description. That will help reinforce which contexts call for image descriptions and it’ll improve authors’ efficiency toward making their pages more accessible.

While complex images—like graphs and charts—are challenging to describe in any sort of succinct way (even for humans), the image example shared in the GPT4 announcement points to an interesting opportunity as well. Let’s suppose that you came across a chart whose description was simply the title of the chart and the kind of visualization it was, such as: Pie chart comparing smartphone usage to feature phone usage among US households making under $30,000 a year. (That would be a pretty awful alt text for a chart since that would tend to leave many questions about the data unanswered, but then again, let’s suppose that that was the description that was in place.) If your browser knew that that image was a pie chart (because an onboard model concluded this), imagine a world where users could ask questions like these about the graphic:

• Do more people use smartphones or feature phones?
• How many more?
• Is there a group of people that don’t fall into either of these buckets?
• How many is that?

Setting aside the realities of large language model (LLM) hallucinations—where a model just makes up plausible-sounding “facts”—for a moment, the opportunity to learn more about images and data in this way could be revolutionary for blind and low-vision folks as well as for people with various forms of color blindness, cognitive disabilities, and so on. It could also be useful in educational contexts to help people who can see these charts, as is, to understand the data in the charts.

Taking things a step further: What if you could ask your browser to simplify a complex chart? What if you could ask it to isolate a single line on a line graph? What if you could ask your browser to transpose the colors of the different lines to work better for form of color blindness you have? What if you could ask it to swap colors for patterns? Given these tools’ chat-based interfaces and our existing ability to manipulate images in today’s AI tools, that seems like a possibility.

Now imagine a purpose-built model that could extract the information from that chart and convert it to another format. For example, perhaps it could turn that pie chart (or better yet, a series of pie charts) into more accessible (and useful) formats, like spreadsheets. That would be amazing!

Matching algorithms

Safiya Umoja Noble absolutely hit the nail on the head when she titled her book Algorithms of Oppression. While her book was focused on the ways that search engines reinforce racism, I think that it’s equally true that all computer models have the potential to amplify conflict, bias, and intolerance. Whether it’s Twitter always showing you the latest tweet from a bored billionaire, YouTube sending us into a Q-hole, or Instagram warping our ideas of what natural bodies look like, we know that poorly authored and maintained algorithms are incredibly harmful. A lot of this stems from a lack of diversity among the people who shape and build them. When these platforms are built with inclusively baked in, however, there’s real potential for algorithm development to help people with disabilities.

Take Mentra, for example. They are an employment network for neurodivergent people. They use an algorithm to match job seekers with potential employers based on over 75 data points. On the job-seeker side of things, it considers each candidate’s strengths, their necessary and preferred workplace accommodations, environmental sensitivities, and so on. On the employer side, it considers each work environment, communication factors related to each job, and the like. As a company run by neurodivergent folks, Mentra made the decision to flip the script when it came to typical employment sites. They use their algorithm to propose available candidates to companies, who can then connect with job seekers that they are interested in; reducing the emotional and physical labor on the job-seeker side of things.

When more people with disabilities are involved in the creation of algorithms, that can reduce the chances that these algorithms will inflict harm on their communities. That’s why diverse teams are so important.

Imagine that a social media company’s recommendation engine was tuned to analyze who you’re following and if it was tuned to prioritize follow recommendations for people who talked about similar things but who were different in some key ways from your existing sphere of influence. For example, if you were to follow a bunch of nondisabled white male academics who talk about AI, it could suggest that you follow academics who are disabled or aren’t white or aren’t male who also talk about AI. If you took its recommendations, perhaps you’d get a more holistic and nuanced understanding of what’s happening in the AI field. These same systems should also use their understanding of biases about particular communities—including, for instance, the disability community—to make sure that they aren’t recommending any of their users follow accounts that perpetuate biases against (or, worse, spewing hate toward) those groups.

Other ways that AI can helps people with disabilities

If I weren’t trying to put this together between other tasks, I’m sure that I could go on and on, providing all kinds of examples of how AI could be used to help people with disabilities, but I’m going to make this last section into a bit of a lightning round. In no particular order:

• Voice preservation. You may have seen the VALL-E paper or Apple’s Global Accessibility Awareness Day announcement or you may be familiar with the voice-preservation offerings from Microsoft, Acapela, or others. It’s possible to train an AI model to replicate your voice, which can be a tremendous boon for people who have ALS (Lou Gehrig’s disease) or motor-neuron disease or other medical conditions that can lead to an inability to talk. This is, of course, the same tech that can also be used to create audio deepfakes, so it’s something that we need to approach responsibly, but the tech has truly transformative potential.
• Voice recognition. Researchers like those in the Speech Accessibility Project are paying people with disabilities for their help in collecting recordings of people with atypical speech. As I type, they are actively recruiting people with Parkinson’s and related conditions, and they have plans to expand this to other conditions as the project progresses. This research will result in more inclusive data sets that will let more people with disabilities use voice assistants, dictation software, and voice-response services as well as control their computers and other devices more easily, using only their voice.
• Text transformation. The current generation of LLMs is quite capable of adjusting existing text content without injecting hallucinations. This is hugely empowering for people with cognitive disabilities who may benefit from text summaries or simplified versions of text or even text that’s prepped for Bionic Reading.

The importance of diverse teams and data

We need to recognize that our differences matter. Our lived experiences are influenced by the intersections of the identities that we exist in. These lived experiences—with all their complexities (and joys and pain)—are valuable inputs to the software, services, and societies that we shape. Our differences need to be represented in the data that we use to train new models, and the folks who contribute that valuable information need to be compensated for sharing it with us. Inclusive data sets yield more robust models that foster more equitable outcomes.

Want a model that doesn’t demean or patronize or objectify people with disabilities? Make sure that you have content about disabilities that’s authored by people with a range of disabilities, and make sure that that’s well represented in the training data.

Want a model that doesn’t use ableist language? You may be able to use existing data sets to build a filter that can intercept and remediate ableist language before it reaches readers. That being said, when it comes to sensitivity reading, AI models won’t be replacing human copy editors anytime soon. 

Want a coding copilot that gives you accessible recommendations from the jump? Train it on code that you know to be accessible.

I have no doubt that AI can and will harm people… today, tomorrow, and well into the future. But I also believe that we can acknowledge that and, with an eye towards accessibility (and, more broadly, inclusion), make thoughtful, considerate, and intentional changes in our approaches to AI that will reduce harm over time as well. Today, tomorrow, and well into the future.

Many thanks to Kartik Sawhney for helping me with the development of this piece, Ashley Bischoff for her invaluable editorial assistance, and, of course, Joe Dolson for the prompt.

I am a artistic. What I do is alchemy. It is a secret. I do not so little do it, since let it be done through me.

I am a innovative. Not all imaginative people like this brand. Certainly all see themselves this approach. Some creative individuals see research in what they do. That is their reality, and I respect it. Sometimes I even envy them, a minor. But my approach is different—my becoming is unique.

Apologizing and qualifying in advance is a diversion. That’s what my mind does to destroy me. I set it aside for today. I may come back later to forgive and qualify. After I’ve said what I came to say. Which is challenging enough.

Except when it is simple and flows like a river of wines.

Sometimes it does come that method. Maybe what I need to build comes in an instant. I have learned not to say it at that time, because if you admit that sometimes the thought just comes and it is the best idea and you know it is the best idea, they think you don’t work hard enough.

Maybe I work and work and work until the plan comes. Often it comes suddenly and I don’t tell people for three weeks. Maybe I’m so excited by the idea that came immediately that I blurt it out, can’t help myself. Like a child who found a medal in his Cracker Jacks. Maybe I get away with this. Maybe other people agree: yes, that is the best plan. Most times they don’t and I regret having given way to joy.

Joy is best saved for the conference where it will make a difference. Certainly the casual get-together that accompanies that gathering by two different meetings. Anyone knows why we have all these discussions. We keep saying we’re doing away with them, but then only finding different ways to have them. Sometimes they are also excellent. But other days they are a distraction from the actual labor. The percentages between when conferences are important, and when they are a sad distraction, vary, depending on what you do and where you do it. And who you are and how you do it. Suddenly I digress. I am a artistic. That is the design.

Often many hours of hard and individual work produce something that is rarely serviceable. Maybe I have to accept that and move on to the next task.

Don’t question about approach. I am a artistic.

I am a innovative. I don’t handle my goals. And I don’t handle my best tips.

I can nail aside, surround myself with information or photos, and maybe that works. I can go for a walk, and maybe that works. I may be making breakfast and there’s a Eureka having nothing to do with sizzling oil and flowing pots. Usually I know what to do the instant I wake up. And then, nearly as often, as I become aware and part of the world once, the idea that may have saved me turns to vanishing sand in a senseless storm of nothingness. For imagination, I believe, comes from that other planet. The one we enter in aspirations, and possibly, before conception and after death. But that’s for writers to know, and I am not a writer. I am a artistic. And it’s for theologians to large armies about in their artistic world that they insist is true. But that is another diversion. And a sad one. Even on a much more important issue than whether I am a inventive or not. But nevertheless a diversion from what I came here to say.

Often the process is evasion. And horror. You know the cliché about the tortured actor? It’s true, even when the artist ( and let’s put that noun in quotes ) is trying to write a soft drink jingle, a callback in a tired sitcom, a budget request.

Some people who hate being called innovative may be closeted artists, but that’s between them and their angels. No offence meant. Your wisdom is correct, too. But mine is for me.

Creatives understand creatives.

Creatives identify creatives like faggots recognize queers, like true rappers recognize true performers, like cons know cons. Creatives feel enormous regard for creatives. We love, respect, emulate, and almost deify the excellent ones. To idolize any man is, of course, a dreadful mistake. We have been warned. We know much. We know people are really people. They dispute, they are depressed, they regret their most critical decisions, they are weak and thirsty, they can be cruel, they can be just as terrible as we can, if, like us, they are clay. But. But. But they make this wonderful issue. They beginning anything that did not exist before them, and could not occur without them. They are the mother of tips. And I suppose, since it’s only lying it, I have to put that they are the mother of technology. Ba ho bum! Okay, that’s done. Continue.

Creatives belittle our personal small successes, because we compare them to those of the wonderful people. Wonderful video! Also, I‘m no Miyazaki. Now THAT is glory. That is brilliance directly from the mind of God. This half-starved small item that I made? It more or less fell off the back of the pumpkin vehicle. And the carrots weren’t actually new.

Creatives knows that, at best, they are Salieri. Yet the creatives who are He feel that.

I am a artistic. I haven’t worked in advertising in 30 times, but in my hallucinations, it’s my former artistic managers who judge me. And they are appropriate to do so. I am very lazy, overly simplistic, and when it actually counts, my mind goes blank. There is no supplement for innovative function.

I am a innovative. Every date I make is an experience that makes Indiana Jones look like a retiree snoring in a balcony seat. The longer I remain a artistic, the faster I am when I do my job and the longer I brood and walk in lines and gaze blankly before I do that job.

I am also 10 times faster than people who are not artistic, or people who have just been imaginative a short while, or people who have just been properly imaginative a short while. It’s just that, before I work 10 times as fast as they do, I spend twice as long as they do putting the work off. I am that confident in my ability to do a great job when I put my mind to it. I am that addicted to the adrenaline rush of postponement. I am still that afraid of the jump.

I am not an artist.

I am a creative. Not an artist. Though I dreamed, as a lad, of someday being that. Some of us belittle our gifts and dislike ourselves because we are not Michelangelos and Warhols. That is narcissism—but at least we aren’t in politics.

I am a creative. Though I believe in reason and science, I decide by intuition and impulse. And live with what follows—the catastrophes as well as the triumphs.

I am a creative. Every word I’ve said here will annoy other creatives, who see things differently. Ask two creatives a question, get three opinions. Our disagreement, our passion about it, and our commitment to our own truth are, at least to me, the proofs that we are creatives, no matter how we may feel about it.

I am a creative. I lament my lack of taste in the areas about which I know very little, which is to say almost all areas of human knowledge. And I trust my taste above all other things in the areas closest to my heart, or perhaps, more accurately, to my obsessions. Without my obsessions, I would probably have to spend my time looking life in the eye, and almost none of us can do that for long. Not honestly. Not really. Because much in life, if you really look at it, is unbearable.

I am a creative. I believe, as a parent believes, that when I am gone, some small good part of me will carry on in the mind of at least one other person.

Working saves me from worrying about work.

I am a creative. I live in dread of my small gift suddenly going away.

I am a creative. I spend way too much time making the next thing, given that almost nothing I create will achieve the level of greatness I conceive of.

I am a creative. I think there is the greatest mystery in the process. I think so strongly that I am even foolish enough to publish an essay I wrote into a tiny machine without having to go through or edit it. I swear I won’t do this frequently. But I did it right away because I was even more frightened of forgetting what I was saying because I was afraid of you seeing through my pitiful gestures toward the beautiful.

There. I believe I’ve said it.

Why Knowing Yourself Is Your Greatest Asset written by John Jantsch read more at Duct Tape Marketing

The Duct Tape Marketing Podcast with Suzy Welch In this episode of the Duct Tape Marketing Podcast, I interviewed Suzy Welch, New York Times bestselling author, business strategist, professor at NYU Stern, and creator of the Becoming You methodology. Known for her deep insights on leadership and personal transformation, Suzy brings decades of experience in […]

Why Knowing Yourself Is Your Greatest Asset written by John Jantsch read more at Duct Tape Marketing

The Duct Tape Marketing Podcast with Suzy Welch

In this episode of the Duct Tape Marketing Podcast, I interviewed Suzy Welch, New York Times bestselling author, business strategist, professor at NYU Stern, and creator of the Becoming You methodology. Known for her deep insights on leadership and personal transformation, Suzy brings decades of experience in journalism, corporate strategy, and education to help individuals align their values, aptitudes, and interests with their professional lives.

Suzy shared how Becoming You was born from both personal upheaval and professional research. Drawing on her time at NYU and her own journey of reinvention, she offers a data-driven framework for anyone seeking a more authentic life and career purpose. Especially relevant for entrepreneurs and professionals navigating rapid change, Suzy’s method offers not just inspiration but real tools for self-discovery and meaningful direction.

Key Takeaways:

• Personal development starts with clarity: Understanding your core values isn’t optional—it’s foundational to every career and life decision.
• There’s a method to finding purpose: Suzy’s Becoming You framework combines values assessment, aptitudes test, and economically viable interests to pinpoint your purpose-driven career path.
• You can find purpose at any age: Whether you’re 25 or 65, it’s never too late to align your life with what matters most.
• Fear is the biggest blocker to authenticity: From financial security to family expectations, identifying your “Four Horsemen of Values Destruction” can help you move forward.
• Career coaching backed by research: Suzy’s insights stem from years of teaching at NYU Stern and working with people from all walks of life, making her approach both personal and scalable.
• The entrepreneur mindset thrives on self-knowledge: Knowing who you are helps you build a business that reflects your values, fuels your energy, and sustains your work-life balance.
• Don’t wait for crisis: You don’t need to hit rock bottom to start living authentically. The time to start becoming you is now.

Chapters:

• 00:09 Introducing Suzy Welsh
• 01:24 What Inspired Becoming You
• 03:02 Finding Your Purpose
• 07:07 Moving Past the Fear of Finding Your Purpose
• 00:10:25 Discovering Your Aptitudes
• 13:26 The Balance Between Joy and Financial Security
• 14:47 Finding You at Any Age
• 16:56 Impact of AI on the Workplace

More About Suzy Welch: 

• Check out Suzy Welch’s Website
• Connect with Suzy Welch on Instagram

As a product builder over too many years to mention, I’ve lost count of the number of times I’ve seen promising ideas go from zero to hero in a few weeks, only to fizzle out within months.

Financial products, which is the field I work in, are no exception. With people’s real hard-earned money on the line, user expectations running high, and a crowded market, it’s tempting to throw as many features at the wall as possible and hope something sticks. But this approach is a recipe for disaster. Here’s why:

The pitfalls of feature-first development

When you start building a financial product from the ground up, or are migrating existing customer journeys from paper or telephony channels onto online banking or mobile apps, it’s easy to get caught up in the excitement of creating new features. You might think, “If I can just add one more thing that solves this particular user problem, they’ll love me!” But what happens when you inevitably hit a roadblock because the narcs (your security team!) don’t like it? When a hard-fought feature isn’t as popular as you thought, or it breaks due to unforeseen complexity?

This is where the concept of Minimum Viable Product (MVP) comes in. Jason Fried’s book Getting Real and his podcast Rework often touch on this idea, even if he doesn’t always call it that. An MVP is a product that provides just enough value to your users to keep them engaged, but not so much that it becomes overwhelming or difficult to maintain. It sounds like an easy concept but it requires a razor sharp eye, a ruthless edge and having the courage to stick by your opinion because it is easy to be seduced by “the Columbo Effect”… when there’s always “just one more thing…” that someone wants to add.

The problem with most finance apps, however, is that they often become a reflection of the internal politics of the business rather than an experience solely designed around the customer. This means that the focus is on delivering as many features and functionalities as possible to satisfy the needs and desires of competing internal departments, rather than providing a clear value proposition that is focused on what the people out there in the real world want. As a result, these products can very easily bloat to become a mixed bag of confusing, unrelated and ultimately unlovable customer experiences—a feature salad, you might say.

The importance of bedrock

So what’s a better approach? How can we build products that are stable, user-friendly, and—most importantly—stick?

That’s where the concept of “bedrock” comes in. Bedrock is the core element of your product that truly matters to users. It’s the fundamental building block that provides value and stays relevant over time.

In the world of retail banking, which is where I work, the bedrock has got to be in and around the regular servicing journeys. People open their current account once in a blue moon but they look at it every day. They sign up for a credit card every year or two, but they check their balance and pay their bill at least once a month.

Identifying the core tasks that people want to do and then relentlessly striving to make them easy to do, dependable, and trustworthy is where the gravy’s at.

But how do you get to bedrock? By focusing on the “MVP” approach, prioritizing simplicity, and iterating towards a clear value proposition. This means cutting out unnecessary features and focusing on delivering real value to your users.

It also means having some guts, because your colleagues might not always instantly share your vision to start with. And controversially, sometimes it can even mean making it clear to customers that you’re not going to come to their house and make their dinner. The occasional “opinionated user interface design” (i.e. clunky workaround for edge cases) might sometimes be what you need to use to test a concept or buy you space to work on something more important.

Practical strategies for building financial products that stick

So what are the key strategies I’ve learned from my own experience and research?

1. Start with a clear “why”: What problem are you trying to solve? For whom? Make sure your mission is crystal clear before building anything. Make sure it aligns with your company’s objectives, too.
2. Focus on a single, core feature and obsess on getting that right before moving on to something else: Resist the temptation to add too many features at once. Instead, choose one that delivers real value and iterate from there.
3. Prioritize simplicity over complexity: Less is often more when it comes to financial products. Cut out unnecessary bells and whistles and keep the focus on what matters most.
4. Embrace continuous iteration: Bedrock isn’t a fixed destination—it’s a dynamic process. Continuously gather user feedback, refine your product, and iterate towards that bedrock state.
5. Stop, look and listen: Don’t just test your product as part of your delivery process—test it repeatedly in the field. Use it yourself. Run A/B tests. Gather user feedback. Talk to people who use it, and refine accordingly.

The bedrock paradox

There’s an interesting paradox at play here: building towards bedrock means sacrificing some short-term growth potential in favour of long-term stability. But the payoff is worth it—products built with a focus on bedrock will outlast and outperform their competitors, and deliver sustained value to users over time.

So, how do you start your journey towards bedrock? Take it one step at a time. Start by identifying those core elements that truly matter to your users. Focus on building and refining a single, powerful feature that delivers real value. And above all, test obsessively—for, in the words of Abraham Lincoln, Alan Kay, or Peter Drucker (whomever you believe!!), “The best way to predict the future is to create it.”

This Heart of Zeus period 3 review doesn’t contain any spoilers. Have I reached the end of my string? Over the past few years, Netflix has actually dominated the grownup animation market, and the streaming service has accumulated quite a large library of content that has made it obvious that animation is a top priority. [ ] in the past as a mature adaptation of…

On Den of Geek, a review of Heart of Zeus Season 3: A Gods and Monsters Battle Royale second appeared.

In this unique Taskmaster year 19 picture, Jason Mantzoukas seems to enjoy himself way too much.

South of Midnight allows you to avoid director conflicts, and, believe it or not, that’s okay.

” South of Midnight just arrived, interested in playing like a gorgeous-looking game, and I was immediately taken aback by the art and outstanding performances in the cutscenes,” Zack warned us, and I was soon put off by the repetitive combat. However, as I was frantically combing through the game’s settings to determine what was what, I came across a flip that I had no idea what to expect: the” Boss neglect option.”

Learn more at Kotaku.

Netflix’s music entry, The Eternaut, has gained a respectable following a trend of post-apocalyptic success on various streamers.

” In the last few years, shows like Silo and Fallout have gained worldwide attention for Apple TV + and Prime Video, and Netflix has now finally responded with a post-apocalyptic set of its own.” The Eternaut, a group of survivors who are battling an alien risk after a terrible snowstorm claimed the lives of millions of people, is Netflix’s newest collection.

More information is available at Collider.

Max is limiting login communicating, adage from Netflix. However, the cash capture might take some time to put into practice.

While it’s simple to slam on Warner Bros. This is more or less the exact timetable Netflix worked out when it launched its own password-sharing assault a few years ago because of Discovery’s terribly unhappy decision-making. Before being tested in the United States in 2023, Netflix‘s program was first tested in Latin American nations like Chile and Peru. Netflix claimed that the problems did not actually discourage people from using Netflix, despite the fact that people and their precise mother did it.

Learn more at The A. V. Club.

The Dog Stars, Ridley Scott’s upcoming post-apocalyptic stories, has Benedict Wong on board.

The Dog Stars, a post-apocalyptic thriller based on the Peter Heller novel, has a new cast member named Benedict Wong ( Weapons ). Character information are kept a secret. Along with Margaret Qualley, Josh Brolin, and Guy Pearce, Wong joins an outfit led by Jacob Elordi. Following the duo’s collaboration on Prometheus ( 2012 ) and The Martian ( 2015 ), the movie reunites the actor and Scott. It is currently being shot in Italy.

Learn more at Deadline.

The first post on Den of Geek: Link Tank: Special Taskmaster Clip Featuring Jason Mantzoukas at his most turbulent best was first published.

Without giving away any tale trailers, this post discusses the building and designs for” The Story &amp, The Engine.” The Doctor has so far this line taken audiences to two far planets: Miami from 1952 and Earth in the modern era, minus the Doctor. [Fifteen ( Ncuti Gatwa ) has been unable to locate Belinda Chandra]

The second post Doctor Who Writer Teases Episode Five:” The Barbershop is a Safe Place To Be” was posted on Den of Geek.

In this unique Taskmaster year 19 picture, Jason Mantzoukas enjoys himself way too much.

South of Midnight allows you to avoid boss conflicts, and, believe it or not, that’s fine.

” South of Midnight just arrived, interested in checking out such a gorgeous-looking sport, and I was immediately enthralled by the artwork and the remarkable achievements in the scenes, but as Zack warned us, I was immediately enthralled by the repeated battle. However, as I was frantically combing through the game’s settings to determine what was what, I came across a flip that I had no idea what to expect: the” Boss neglect option.”

More information is available on Kotaku.

Netflix has found an appreciative market for its music access, The Eternaut, following a pattern of post-apocalyptic triumphs on another streamers.

” In the last few years, Netflix has finally responded with a post-apocalyptic series of its own, just like Netflix’s Silo and Fallout have become international sensations for Apple TV + and Prime Video. The Eternaut, a group of survivors who are battling an alien risk after a terrible snowstorm claimed the lives of millions of people, is Netflix’s newest series.

Learn more at Collider.

Max is limiting login sharing, adage from Netflix. However, it does take some time to put the money get into practice.

While it’s simple to slam on Warner Bros. This is essentially the same timeline Netflix used to create its own password-sharing assault a few years ago due to Discovery’s terribly controversial decision-making. Before being tested in the United States in 2023, Netflix‘s action was first tested in Latin American nations like Chile and Peru. People and their precise family complained about it, but Netflix claimed that those problems did not actually discourage people from using the service.

The A. V. Club has more information available.

The Dog Stars, Ridley Scott’s upcoming post-apocalyptic stories, has Benedict Wong on table.

The Dog Stars, a post-apocalyptic thriller based on the Peter Heller novel, has a new cast member named Benedict Wong ( Weapons ). Character information are kept a secret. Wong joins a group led by Jacob Elordi that even includes Guy Pearce, Josh Brolin, and Margaret Qualley. Following the duo’s collaboration on Prometheus ( 2012 ) and The Martian ( 2015 ), the movie reunites the actor and Scott. It is currently being shot in Italy.

Learn more at Deadline.

Jason Mantzoukas at his most turbulent best appeared initially on Den of Geek‘s special Taskmaster picture.

Forget about the summertime crowds of people, Zoomers and Alphas, because I want to show of a time when the cinemas were crowded and there was a lot of choice for large screen comedies. You would find both in the best romantic comedies, which was a lost era of giggles and tears, as often promised by […]

The first post Rationalists Teaser Is Such a Throwback It Actually Has a” Video Words” appeared on Den of Geek.

In this unique Taskmaster year 19 picture, Jason Mantzoukas enjoys himself way too much.

South of Midnight allows you to avoid director conflicts, and, believe it or not, that’s okay.

” South of Midnight just arrived, interested in checking out such a gorgeous-looking sport, and I was immediately enthralled by the artwork and the remarkable achievements in the scenes, but as Zack warned us, I was immediately enthralled by the repeated battle. However, as I was frantically combing through the game’s settings to determine what was what, I came across a flip that I had no idea what to expect: the” Boss neglect option.”

Learn more at Kotaku.

Netflix has found an appreciative market for its music access, The Eternaut, following a pattern of post-apocalyptic triumphs on another streamers.

” In the last few years, shows like Silo and Fallout have gained worldwide attention on Apple TV + and Prime Video, and Netflix has now created a post-apocalyptic series of its own.” The Eternaut, a group of survivors who battle an alien risk after a terrible snowstorm claimed the lives of millions of people, is Netflix’s newest collection.

Learn more at Collider.

Max is limiting login communicating, adage from Netflix. However, it does take some time to put the money grab into practice.

While it’s simple to slam on Warner Bros. This is more or less the exact timetable Netflix worked out when it launched its own password-sharing assault a few years ago because of Discovery’s terribly unhappy decision-making. Before being tested in the United States in 2023, Netflix‘s action was first tested in Latin American nations like Chile and Peru. Netflix claimed that the problems did not actually discourage people from using Netflix, despite the fact that people and their precise mother did it.

Learn more at The A. V. Club

Ridley Scott’s upcoming post-apocalyptic story, The Dog Stars, has Benedict Wong on board.

The Dog Stars, Ridley Scott‘s post-apocalyptic thriller based on the Peter Heller novel, has Benedict Wong ( Weapons ) on its cast. Character information are kept a secret. Wong joins a group led by Jacob Elordi that even includes Guy Pearce, Josh Brolin, and Margaret Qualley. Following their collaboration on The Martian ( 2015 ) and Prometheus ( 2012 ), the film features the actor and Scott together, which is currently being shot in Italy.

Learn more at Deadline.

The first article on Den of Geek: Link Tank: Unique Taskmaster Clip Shows Jason Mantzoukas at His Chaotic Best was the first article.

After turning 30 years old, it should be challenging to make new friends. This is a truism that is so widely accepted that the New York Times routinely publishes the same article about it, sadly reminiscing about the golden days of a young person who passed by. But that’s not always the case, especially for guys like Austin ( Paul Rudd ), that [ …] ].

On Den of Geek, Paul Rudd and Tim Robinson Skewer the Bromance Comedy initially appeared in Friendship Review.

In this unique Taskmaster year 19 picture, Jason Mantzoukas seems to enjoy himself way too much.

South of Midnight allows you to avoid boss conflicts, and, believe it or not, that’s fine.

” I just loaded South of Midnight, interested in checking out such a gorgeous-looking match, and was immediately enthralled by the artwork and the remarkable achievements in the scenes, but as Zack warned us, I was immediately enthralled by the repeated battle. However, as I was frantically combing through the game’s settings to determine what was what, I came across a flip that I had no idea what to expect: the” Boss neglect option.”

More information is available at Kotaku.

Netflix has found an appreciative market for its music access, The Eternaut, following a pattern of post-apocalyptic triumphs on another streamers.

” In the last few decades, shows like Silo and Fallout have gained worldwide attention for Apple TV + and Prime Video, and Netflix has now finally responded with a post-apocalyptic set of its own.” The Eternaut, a group of survivors who are battling an alien risk after a terrible snowstorm claimed the lives of millions of people, is Netflix’s newest series.

Learn more at Collider.

Following Netflix’s case, Max is cracking down on login communicating. However, it does take some time to apply the funds get.

While it’s simple to slam on Warner Bros. This is essentially the same timeframe Netflix worked out when it launched its unique password-sharing assault a few years ago because of Discovery’s terribly unhappy decision-making. Before being tested in the United States in 2023, Netflix‘s action was first tested in Latin American nations like Chile and Peru. People and their literal family complained about it, but Netflix claimed that those problems did not actually discourage people from using the service.

Learn more at The A. V. Club.

The Dog Stars, Ridley Scott’s upcoming post-apocalyptic stories, has Benedict Wong on table.

The Dog Stars, Ridley Scott‘s post-apocalyptic thriller based on the Peter Heller novel, has Benedict Wong ( Weapons ) on its cast. Information about the characters are kept a secret. Wong joins a group led by Jacob Elordi that even includes Guy Pearce, Josh Brolin, and Margaret Qualley. Following the duo’s collaboration on Prometheus ( 2012 ) and The Martian ( 2015 ), the movie reunites the actor and Scott. It is currently being shot in Italy.

Learn more at Deadline.

The first article on Den of Geek: Link Tank: Promotional Taskmaster Clip Shows Jason Mantzoukas at His Chaotic Best was the first article.