The Understanding Group (TUG)
@undrstndng
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Make better decisions, incur less risk, align stakeholders. TUG helps you find better ways to organize and manage complex systems & information.
Ann Arbor and Grand Rapids, MI
Joined February 2011
What Jorge is describing is "conservative" we'd call "average to its very bones", but his key point stands: AI is not good for finding less well lit corners or surprising results, and we have to keep that in consideration as we use it. https://t.co/FNdAa2uohi
linkedin.com
AI is inherently conservative. I don’t mean that in the political sense — this is lowercase-c “conservative.” Because of how they’re trained, LLMs favor and perpetuate long-established frameworks and...
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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: https://t.co/y4WJDrZNex
#DesignNurture #TUGWorkshop
understandinggroup.com
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Another post that reflects the current state of AI, which is basically "how do we MANAGE them". They generate outputs that require more work on the back end and in the original setting of constraints than creating the actual outputs themselves. https://t.co/9gFndhwzSP
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A short but potentially seminal work in the creation of agency-centered architectures. There are some assertions about the scope of agents that may change, but the overall vision of the model is deeply compelling. https://t.co/eX1fVmqkar
linkedin.com
Enterprise architects don’t live in diagrams; we live in the 𝐭𝐞𝐧𝐬𝐢𝐨𝐧𝐬 𝐛𝐞𝐭𝐰𝐞𝐞𝐧 𝐝𝐨𝐦𝐚𝐢𝐧𝐬. Business leaders want speed and new value. Data leaders want trust and coherence. Applic...
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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). https://t.co/W94J7qirqQ
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This 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. https://t.co/9QFHnGZbDP
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A great summary of the issues with the state of the art AI design pattern (and there is only one right now). Good stuff! https://t.co/p6fR4yN4o7
lukew.com
At this point, almost every software domain has launched or explored AI features. Despite the wide range of use cases, most of these implementations have been t...
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A remarkable meditation on the power of surfacing cost and value, regardless of your domain, job description, or role. A must-read. https://t.co/HHLrLlXHin
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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. https://t.co/foQXWGdDjB
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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. https://t.co/uEc0yVPxdn
medium.com
Service blueprinting is a core method of service design. However, the traditional format of a service blueprint undermines the value of the…
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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. https://t.co/DrCrt1m6v6
jarango.com
Repurposing a software development agent to help draft website taxonomies.
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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? https://t.co/hEhBSgrhsW
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This 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. https://t.co/4hPlJ7tQsN
lukew.com
As an increasing number of AI applications evolve to agents doing work for people, agent management becomes a critical part of these product's design. How can p...
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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? https://t.co/xoZaOGTHlW
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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 https://t.co/m2oclsFxny
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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. How do UXers feel about becoming an army of prompt engineers? https://t.co/tJx5yVeO39
linkedin.com
Beyond prompt engineering, AI is really about *context engineering.* Once you hear this, it may sound obvious. But it's got very big implications. This idea rippled through top AI conversations on X...
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We agree completely with list of "bring it back" from this article; in fact we're wondering why and if they ever left! https://t.co/36zGLQCfz0
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A 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? https://t.co/yUh1s0D4Oj
linkedin.com
Everybody is building the same thing. Meanwhile Bench Computing, Inc. • look at the 6 screenshots in this image • find the CEOs of each company • make an image of the Spider-Man pointing meme but...
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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. https://t.co/QgAPYMaku5
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What are the design and IA implications of this prediction? What are the informational requirements needed to make it work? https://t.co/eiAQSROTBY
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