What Claude Design is actually good for (and why Figma isn’t dead, yet)

What It Covers

Host Clervoe evaluates Claude Design, Anthropic's new web-based design tool, testing its design system import feature, marketing landing page generation, and slide deck creation, while also assessing OpenAI's GPT Image 2 model for brand kit generation and layout work across a 27-minute hands-on demo.

Key Questions Answered

• •Claude Design best use case: Claude Design performs strongest on marketing landing pages and slide decks rather than complex UX/app components. Import a saved HTML file plus logo assets into the design system form, wait approximately five minutes for extraction, and receive a structured system covering UI kits, typography, colors, components, and brand marks ready for prototype generation.
• •Design system structure for AI tools: Whether using Claude Design or any AI design tool, structuring your design system into five discrete components — UI kits, typography, color palette, components, and brand marks — produces more consistent output. Google Labs released a design.md standard on the same day, signaling this five-part structure is becoming the cross-platform agent standard for brand-consistent AI rendering.
• •Claude Design slide deck workflow: Feeding Claude Design a PDF article alongside an imported design system produces presentation decks that match brand styling and convert written content into formatted slides with contextual design elements like styled terminal windows. This workflow suits product marketers building training materials, enablement decks, or customer-facing presentations without manual design work.
• •Claude Design credit limits are a real constraint: Running two to three design tasks in Claude Design exhausts the default credit allocation, leaving users blocked for multiple days. Budget for the $20/month Pro tier at minimum, or expect frequent interruptions mid-project. Slow generation times of five to ten minutes per output compound this, making rapid iteration cycles impractical compared to Figma's real-time drag-and-drop editing.
• •GPT Image 2 for brand kit generation: Feeding GPT Image 2 a text brand brief plus three to five reference images from an existing visual library produces a nine-grid brand kit layout with accurate typography and color matching. The model's built-in reasoning step resolves the text-rendering failures common in earlier image models, making it a viable starting point before handing off to a professional designer.