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TLDR Design

WIRING INTERFACE TO INTENT

LLMs excel at understanding intent and manner, making them powerful tools for creating adaptive interfaces that respond to user requests with appropriate UI components rather than text. This article demonstrates how to build "call-and-response UI" systems where the LLM acts as a design decision-maker, interpreting user intent and returning structured data that tells the interface which component to display, essentially translating natural language into machine-readable interface instructions. By constraining outputs to predefined UI patterns and utilizing prompts as collaborative design specifications, teams can create experiences that adapt to user needs while leveraging LLMs' strengths in understanding context and mitigating their weaknesses in handling facts.

FROM PIXELS TO PROMPTS: NAVIGATING THE GENERATIVE AI REVOLUTION IN UX

Generative AI is transforming UX design by automating execution tasks, such as creating prototypes and analyzing feedback, allowing designers to shift from pixel-pushing to strategic roles focused on systems thinking, ethical oversight, and prompt engineering. The technology serves as a collaborative tool across all design phases, but it requires human judgment to ensure that outputs are inclusive, contextually appropriate, and aligned with user needs. UX designers must develop AI literacy and master prompt crafting while maintaining responsibility for critical thinking, as their irreplaceable value lies in asking the right questions rather than merely producing artifacts quickly.

INTENT-BASED UI IS REPLACING NAVIGATION—ARE WE DESIGNING OURSELVES OUT OF THE INTERFACE?

Traditional navigation is dying as interfaces shift toward intent-based design, where systems anticipate user needs rather than requiring explicit menu choices—seen in platforms like Spotify, TikTok, and ChatGPT. While this approach excels at routine tasks, it risks stripping users of cognitive maps and autonomy, creating disorienting "black boxes" that trap people in algorithmic bubbles and fail when predictions are wrong. The solution lies in predictive systems that augment, rather than replace, traditional navigation, offering intelligent suggestions while maintaining a transparent structure and user control.

BIGGEST TAKEAWAYS FOR UX DESIGNERS FROM FIGMA'S 2025 AI REPORT

Figma's 2025 AI report reveals that AI is fundamentally reshaping design workflows by improving speed and efficiency, though 60% of designers don't yet see quality improvements. The research shows that design skills are becoming increasingly valuable for AI products, with most AI builders considering design at least as critical as for traditional products. However, the unpredictability of AI introduces new complexities in prototyping, user testing, and determining transparency levels. Designers currently use AI primarily for research tasks, such as desk research (38%) and data analysis (40%), rather than for creative work.

"OUR BOTTLE HAS ALWAYS BEEN A CANVAS”: HOW ABSOLUT DISTILLED KEITH HARING'S ART

Absolut Vodka has launched a new artist collaboration celebrating Pop Art legend Keith Haring, transforming London's Charing Cross station into “Haring Cross” — an immersive public art gallery featuring Haring's original Absolut works. The Playful Underground campaign continues both Haring's and Absolut's mission to make art accessible to everyone, blending brand heritage, authenticity, and the spirit of Pop Art with an emphasis on joy and inclusivity.

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