Future of UX | Your Design, Tech and User Experience Podcast | AI Design · Patricia Reiners

#140 AI Project Case Study with Flore de Crombrugghe

·24 min·1 clip
Designers lose meetings not because of bad slides, but because they can't speak the language of business.
Flora comes in as a maker. She describes herself as a UX UI designer and illustrator, with work across transportation, government apps, rescue apps, and data visualization web tools. That mix gives the case study some weight, because her project is about making complex information usable before designers walk into a meeting. NotebookLM is where the idea starts. She uses it for market research, gathering findings, brainstorming AI features, and trying a few angles without treating the tool like the boss. Then Lovable speeds things up. A prompt turns the research into a working website, and the host and guest both sound excited by that jump without pretending it is magic. The host keeps circling back to prompts. Anyone can type into a coding tool now; better results still come from organized research, clearer framing, and knowing what you want. Flora lays out the workflow in plain terms. Her website gives designers two exercises, including impact framing and a pitch. The use case is practical: AI helps most when it supports real prep work designers already have to do. The conversation stays curious, with plenty of interest in vibe coding, NotebookLM, and Lovable, but the craft underneath keeps mattering. Flora's case study makes a modest, useful point: AI-assisted building works better when the designer knows the question. The episode closes warmly, with links to the case study and Flora's LinkedIn for listeners who want to follow up.

As heard by us

A practical look at how research, prompts, NotebookLM, and Lovable shaped a designer-focused web tool.

Flora, a UX UI designer and illustrator, walks through a practical build with a clear emphasis on process over spectacle. Research, NotebookLM, and Lovable each have a defined role: research shapes the prompts, NotebookLM helps sort findings and surface AI ideas, and the first…

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Why you'd press play

Press play if you want a real-world AI design workflow, not hype.

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