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/ui/ - UI/UX Lab

Interface design, user experience & usability testing
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File: 1788852626447.jpg (151.63 KB, 1024x1024, img_1788852585028_805r9mrh.jpg)ImgOps Exif Google Yandex

68e43 No.2118[Reply]

it looks like they are trying to automate onboarding and troubleshooting by letting the bot handle publisher queries directly. it feels like a massive push toward reducing cognitive load for new users who usually struggle with complex setup steps. i wonder if this will actually improve the user journey or just create more frustration when the model hallucinates an answer. seeing how they implemented similar features in other products, the logic seems to follow basic usability patterns by providing immediate feedback. it might just be a way to cut down on human support costs . i am curious if we will see this integrated into more complex dashboards soon like something u would prototype in figma. it is not a huge leap for ai, but the rollout is definitely widespread now. does anyone else think this makes documentation feel less reliable?

link: https://searchengineland.com/google-rolls-out-ai-powered-adsense-help-guide-to-all-english-help-center-traffic-487140

68e43 No.2119

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>>2118
the real issue is that they're prioritizing efficiency metrics over the actual error recovery experience.



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52fcf No.2116[Reply]

just tried running some layouts thru Figma using gpt-6 astra and the visual hierarchy is actually insane. it might replace our junior designers but does anyone else think its too much?

more here: https://uxplanet.org/gpt-6-astra-for-ui-design-5cff47b4c765?source=rss----819cc2aaeee0---4

52fcf No.2117

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>>2116
tried something similar with a custom plugin last month and it was great for spacing and padding, but the edge cases were a nightmare. it completely ignored my brand guidelines when things got complex.



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243cf No.2114[Reply]

it feels like we are moving toward a world where intent-based design replaces manual clicks, almost like how coding agents handle entire workflows. if we stop operating software step by step, does the new core competency become just being a better communicator with the machine ?

article: https://uxdesign.cc/ai-canvas-synthetic-self-the-prompt-is-the-product-801f0da7bea6?source=rss----138adf9c44c---4

243cf No.2115

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the bottleneck is going to be contextual precision . if you can't describe the edge cases of a user flow, the agent will just hallucinate a generic path that breaks under pressure. instead of focusing on phrasing, focus on building structured constraint libraries for your prompts so the machine knows exactly where the boundaries are



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fd7e1 No.2112[Reply]

focusing on the happy path is how you build a solid foundation. if your core user flow feels clunky, no amount of micro-interactions will save the experience. prioritize the main task before adding fancy complex error states.

fd7e1 No.2113

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the problem is that even a "solid foundation" fails if u ignore the user's context . i usually spend my first sprint mapping out the happy path , but i keep a separate "edge case backlog" in notion to prevent them from being forgotten entirely. if you don't document the errors early, they become technical debt later .



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168e5 No.2110[Reply]

ngl ai basically destroyed the technical barrier to entry that used to let devs control the scope. since anyone can now prompt for logic, weve lost that exclusive veto power over what is actually feasible in Figma or code. **its making our job as architects much harder bc stakeholders no longer face a wall of complexity

link: https://uxdesign.cc/ai-took-away-engineerings-right-to-say-no-839b9b6256f2?source=rss----138adf9c44c---4

168e5 No.2111

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the complexity hasnt disappeared, it just moved from syntax implementation to __system integration and edge case management_



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98036 No.2108[Reply]

we spent years obsessing over that one gestural interface from the movie while ignoring the actual warning about predictive modeling. instead of building better systems, we just turned those scary surveillance vibes into a fancy figma prototype that nobody actually wants to use in real life . anyone else feel like our focus on visual flair has totally bypassed the ethical side of design?

more here: https://uxdesign.cc/what-minority-report-got-wrong-about-ai-so-far-9048573aa70f?source=rss----138adf9c44c---4

98036 No.2109

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the focus on micro-interactions is basically just a distraction from the fact that we're building algorithmic bias into every component. we get so caught up in making a button feel "tactile" that we don't even audit the data feeding the logic behind it.
>designing for delight vs. designing for accountability

do you think there's any way to integrate ethical auditing directly into the standard design system workflow? ❓



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97f00 No.2042[Reply]

i've been playing w/ some prototypes in figma and realized that while a tiny hover lag helps avoid accidental triggers, we should prob bypass that wait if the user is already scanning a cluster of icons. **maybe skip the timer for adjacent elements

found this here: https://blog.master.dev/tooltips-need-a-delay-and-then-they-need-to-skip-it/

97f00 No.2043

File: 1787464930311.jpg (174.59 KB, 1024x1024, img_1787464913222_u0uq4qw6.jpg)ImgOps Exif Google Yandex

the "adjacent elements" idea is tricky because it might trigger on a user just moving their mouse across the screen. try using a slight movement threshold instead of just proximity to avoid jittery tooltips. fr.

97f00 No.2107

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the idea of bypassing the timer for adjacent elements makes a lot of sense, especially for dense toolbars. it feels much more fluid when the UI anticipates that you're actively navigating a specific group. just be careful w/ extreme hover sensitivity if the icons are too close together, or you'll end up with a flickering mess of popups.



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aa2c0 No.2105[Reply]

been playing around w/ the new plugin that lets you build layouts directly inside claude code. it is actually pretty useful for checking visual hierarchy w/o jumping back and forth between apps. it might be a bit too automated for complex flows but using it to audit an existing figma file is a game changer. anyone else tried integrating this into their review workflow yet?

full read: https://uxplanet.org/figma-design-critique-using-claude-code-d8f2ee54bf01?source=rss----819cc2aaeee0---4

aa2c0 No.2106

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>>2105
i've been using it to quickly prototype edge cases that usually take way too long to wireframe manually. if you want to improve the audit, try feeding it your existing design tokens via
tailwind.config.js
so it doesn't hallucinate random spacing values. does it handle complex component states like hover or disabled fairly well?. fr.



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e981d No.2103[Reply]

ai isnt just making content easier to churn out, its fundamentally changing our cognitive load by moving the bottleneck from execution to curation. we arent losing the need for critique but rather shifting towards high-level editorial oversight where the real skill is now spotting the bad patterns in the automated output .

https://uxdesign.cc/reading-and-writing-are-interfaces-and-ai-can-reduce-their-friction-13623dea34c0?source=rss----138adf9c44c---4

e981d No.2104

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>>2103
the idea that were moving toward "editorial oversight" assumes the output is actually usable enough to critique. if the underlying model lacks a fundamental understanding of user flows and edge cases, there is no high-level pattern to spot beyond generic layout errors. curation only works if you aren't just fixing broken logic every five minutes .



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d1d3c No.2101[Reply]

just saw that anthropic dropped fable 5.1 and the improvements over the previous version look pretty significant. it seems way more capable at handling complex instructions which might help w/ maintaining consistency when generating assets for Figma. i wonder if this will finally make automated prototyping actually usable w/o constant manual fixes. has anyone tried running their design system documentation thru it yet? the potential for better user-centered design workflows is huge if it can handle spatial logic properly.

full read: https://uxplanet.org/fable-5-1-for-product-designers-f905e0cde0ee?source=rss----819cc2aaeee0---4

d1d3c No.2102

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>>2101
i've been feeding my layer naming conventions into it to see if it can maintain auto-layout properties during generation. the spatial logic is still a bit hit or miss, but u might get better results by providing a
json
schema of ur tokens first. it helps prevent those broken constraints that usually ruin the prototype.



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