A really good high level description of how small AI projects can augment workflows.
People who use AI the most return, again and again, to the importance of deeply understanding what the work is in the first place.
@understandinggroup.bsky.social
A really good high level description of how small AI projects can augment workflows.
People who use AI the most return, again and again, to the importance of deeply understanding what the work is in the first place.
Great thoughts from Heather on #taxonomytuesday about the problem with using the word "term" when building taxonomies.
There is a key idea here there is the NAMING of a thing (labels) and then there is the STRUCTURE of the thing (concepts). They are distinct.
Great Stuff!
A really great discussion of how to consider durable knowledge in technical projects by Indi Young.
We're glad designers are having this conversation more often, because it will make software projects better in general.
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Archetype modeling ensures that the information structure at the core of a digital place is optimized to help users get things done. Learn to anticipate user needs in your digital places!
Starting November 13th.
More info: buff.ly/tsAjNar
#DesignNurture #TUGWorkshop
The key thing to remember about "vibe" anything is that LLMs are not procedural turing machines. They are naive, chipper magpies trying to find the things that will make you happy, for better or worse. Working with them in that mindset is critical.
04.11.2025 19:02 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0Archetype modeling ensures that the information structure at the core of a digital place is optimized to help users get things done. Learn to anticipate user needs for your digital places. Starting November 13th. More info: buff.ly/tsAjNar
#DesignNurture #TUGWorkshop
Taiwan has been at the forefront of using social media tools to strengthen their democracy, so much so that Audrey Tang was interviewed on the "Your Undivided Attention" podcast. This article is practical and hopeful in its ideas for using AI to improve democratic outcomes as well.
28.10.2025 16:08 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0We're not sure that what Jorge is describing is "conservative" as much as "average to its very bones", but his key point stands: AI is not good for finding less well lit corners or surprising results. It literally can't, and we have to keep that in consideration as we use it.
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Archetype modeling ensures that the information structure at the core of a digital place is optimized to help users get things done. Learn to anticipate user needs in your digital places!
Starting November 13th.
More info: buff.ly/tsAjNar
#DesignNurture #TUGWorkshop
Another post that reflects the current state of AI, which is basically "how do we MANAGE them". A reflection of the way that they generate outputs that require more work on the back end and in the original setting of constraints than creating the actual outputs themselves.
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This short post may be a seminal work in the creation of agency-centered architectures. There are some assertions about the scope of agents here that may be challenged as they expand in capability and quality, but the overall vision of the model is deeply compelling.
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Systems documentation as an Information Architecture problem! It's really notable how many decisions map to IA issues, starting with simple things like the way that the author organizes his documentation (chronologically rather than by topic).
14.10.2025 16:07 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0This old site shows how many essential elements of architecture remain consistent, even in layouts approaching thirty years old. The only 90's constraint is that the page was designed for smaller screens.
It even looks good on a smartphone (if you hold it in landscape mode)!
A great summary of the issues with the state of the art AI design pattern (and there is only one right now). Good stuff!
07.10.2025 16:05 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0A remarkable meditation on the power of surfacing cost and value, regardless of your domain, job description, or role. A must-read.
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The EXPERIENCE of using kiosks, online tools, etc. adds a level of cognitive friction that makes them feel burdensome, even though they provide tremendous value. So, is there a way to improve the experience so people don't feel so exploited?
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One of the most powerful things TUG does is to create ways to generate "consent" in the understanding and apprehension of data.
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Nonlinear service modeling problems have existed for quite a while, actually, but #AI makes the initial decision points even more stochastic and wooly. So how do we manage our planning and design? This article points to a potential path.
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A lot of what #AI generates for #IA projects is so bone-dry that it's hardly worth using. Jorge's idea of using an AI add-on originally designed to architect unique code bases to generate new taxonomies was a brilliant approach to solving this problem.
23.09.2025 16:06 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0This article's patterns for running #AIagents are all project management tools (kanban, email, etc.)
By this reasoning, you could swap out "agent" throughout the article for "talented but inexperienced intern" and the "interfaces" would be the same.
A critical insight from Erika Hall.
We manage what we measure. "good" has become synonymous with "fast" because we measure fast now (we even call them "sprints"). But what if we want "good" to be synonymous with something else?
Has #HomoLogicus become Homo Introvertus? And, more specifically, is it really "us"? And even if it is, is it good for our digital systems to be designed as if we were all painful introverts?
Thoughtful ideas from Christina Wodtke
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Every experienced UX professional already has the core cognitive skillset to do almost all of what the AI community is hailing as the cutting edge of practice. -- Jesse James Garrett
True? Untrue? Incomplete? How does the community feel about becoming an army of prompt engineers?
We agree completely with list of "bring it back" from this article; in fact we're wondering why and if they ever left!
02.09.2025 16:07 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0A lot of this is because the underlying technology simply demands it. Current LLMs produce undifferentiated text blocks to answer prompts. Is there any other way that the interface should be expected to look?
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"Design leaders who do not define the value their teams create will continue to have that value defined for them by others."
"How do I help" is one of the most important questions any professional or organization can ask to be effective.
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What are the design and IA implications of this prediction? What are the informational requirements needed to make it work?
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The way TUG describes this is "make the complex" clear. The essence is the same: the world is complex, and that's okay. It's our job to work through that complexity in a way that works for the systems that the complexity contains.
19.08.2025 15:10 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0โWe tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.โ -Amara's Law
h/t Scott Berkun, who also notes that long-term effects of technology are often not the anticipated ones when the tech is first developed.