--- title: Medium | daily.dev description: Prompt-based AI UX tools produce plausible-sounding recommendations but miss the actual user experience because they evaluate interface appearance rather than... canonical: https://daily.dev/posts/medium-cb5ug0giu twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Medium | daily.dev og:description: Prompt-based AI UX tools produce plausible-sounding recommendations but miss the actual user experience because they evaluate interface appearance rather than... og:url: https://daily.dev/posts/medium-cb5ug0giu og:image: https://api.daily.dev/og/posts/Cb5uG0giu.png og:image:alt: Medium og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Medium **[Medium](https://daily.dev/sources/medium_js)** · 8 min read · 0 upvotes · 0 comments ## Summary Prompt-based AI UX tools produce plausible-sounding recommendations but miss the actual user experience because they evaluate interface appearance rather than real user behaviour. The core argument is that meaningful UX analysis requires three inputs: the intended journey, actual interaction evidence (clicks, pauses, drop-offs, unexpected paths), and task context. Without behavioural data, AI generates generic advice that may be technically correct but irrelevant to real friction. The same principle applies to adaptive UX — interfaces should only change when there is behavioural evidence that the current experience fails users, not simply because a model can generate alternatives. The post also introduces Flamio, a product being built around this behaviour-first philosophy, using a 'Happy Path' reference journey to compare against real user sessions and surface structured findings. ## Full article daily.dev links to this article rather than hosting it. 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