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        <title>AI Design Tools Tested: Experiment #1</title>
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        <description>We tested different AI design tools (Claude, Stitch, Figma, V0 and Penpot) with a complex UI prompt that required more than visual generation: "Design a real estate property card. The design should encourage a non-linear yet coherent visual journey, where the user understands the information without following a traditional reading order. Introduce partial occlusion between at least three elements, ensuring it does not hinder comprehension, but rather reinforces it. Do not indicate which element is more important: let the hierarchy emerge solely from the design. The CTA must be placed where the user expects it to be, even if this contradicts the initial visual composition." The results show how well Penpot MCP understands complex prompts and produces coherent, reusable, and product-ready UI designs. Penpot opens a different path for AI design workflows. Because it's built on open standards and a “design as code” foundation, agents can work directly with the canvas, design tokens, components, and structured design data — not just generate static mockups. -- Penpot Community: https://community.penpot.app App: https://design.penpot.app​​ Help: https://help.penpot.app​ Contribute: https://github.com/penpot Penpot Fest: https://penpotfest.org Follow us: *Mastodon: https://fosstodon.org/@penpot/​ *Bluesky: https://bsky.app/profile/penpot.app *X: https://x.com/penpotapp *LinkedIn: https://www.linkedin.com/company/penpotdesign *Instagram: https://www.instagram.com/penpot.app/ *Github: https://github.com/penpot *Peertube: https://peertube.kaleidos.net/ Penpot: Full Stack Design</description>
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