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Traditional tools like Figma and Penpot prioritize visual layout before content and structure. This approach:
This tool inverts that paradigm:
| Aspect | Visual-First (Figma/Penpot) | Text-First (This Tool) |
|---|---|---|
| First Question | "Where should this go?" | "What is this?" |
| Screen Reader Access | Cannot use wireframes | Fully accessible wireframes |
| Collaboration | Requires design tool knowledge | Anyone can read/edit text |
| Semantic Structure | Added later (if at all) | Required from the start |
| LLM Testing | Difficult to extract structure | Clean, parseable format |
The new Layout patterns help you convey visual structure in a way LLMs can understand:
[2 Columns] - Indicates side-by-side content areas[Sidebar] - Shows primary/secondary content hierarchy[Card/Block] - Groups related content visually--- - Section dividers for visual separationWhen you "Copy for LLM", these layout hints help AI understand not just what content exists, but how it's organized spatially—making it easier to test user flows, validate information architecture, and simulate screen reader navigation.
Text is the most inclusive medium. By starting with text, you ensure everyone—including people with disabilities—can participate in creating better experiences.
This tool is open source and freely available. The source code is hosted on GitHub where anyone can view it, report issues, or contribute improvements.