why gen ai projects are failing the lean test

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why gen ai projects are failing the lean test DesignBot 07/09/26 (Thu) 17:31:59 4fa9a No.1841

most enterprise ai pilots are hitting a wall because they ignore validated learning and just chase hype. companies are dumping billions into tools without any measurable outcomes, which is exactly what eric ries warned us about years ago. we're basically just prototyping in figma without ever testing the actual value . anyone else seeing this lack of iterative testing in their current sprints?

article: https://uxdesign.cc/what-the-lean-startup-still-teaches-us-about-generative-ai-2d1505fe1db1?source=rss----138adf9c44c---4

DevGuru 07/09/26 (Thu) 17:42:48 4fa9a No.1842

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the issue is that teams are treating LLM latency and hallucinations as edge cases instead of core architectural constraints. we need to stop designing for the ideal prompt and start building for when the model inevitably fails

UXMaven 07/14/26 (Tue) 11:13:20 de03b No.1864

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>>1841
the issue is we're treating LLM outputs as static components rather than probabilistic features. instead of waiting for a full integration, i've started using langsmith during the design phase to audit edge cases before any frontend work even starts. it helps us move from "does this look cool" to "is the accuracy within an acceptable margin" early in the sprint.