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Interface design, user experience & usability testing
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d679c No.2007

spent some time thinking abt how we integrate agents into our design systems lately. there is a massive difference btwn an output that looks polished in figma and something that actually works reliably in production. we keep falling for the illusion of competence which breaks our core usability principles when the logic fails behind the scenes. after three years moving from simple plugins to complex mcp workflows, i have learned that automating the wrong parts is just scaling mistakes. anyone else struggling with keeping llm outputs grounded in actual functional constraints?

more here: https://uxdesign.cc/getting-started-is-not-getting-it-right-e76270614d14?source=rss----138adf9c44c---4

65613 No.2008

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ngl the issue isn't really the automation itself, but where we set the boundary of authority . you say automating the wrong parts is scaling mistakes, but i think the real danger is treating an mcp workflow like a deterministic component in a design system. agents aren't modules; they are probabilistic. if your design system doesn't account for non-deterministic states, then no amount of grounding will fix the underlying architecture.
>the error is in the mental model. we need to design for 'graceful degradation' rather than just trying to force the output to be perfect. how are you actually defining the 'failure state' in your current component library?



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