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AI · February 5, 2026

A text format for UI wireframes – comparing token costs across 4 format

I've been exploring how to describe UI layouts to LLMs efficiently. The problem: When you ask an AI to generate or modify UI, how do you describe the current state? - Natural language ("header on top, form below") is ambiguous - ASCII art breaks when edited (alignment issues) - HTML is precise but verbose I ran some measurements. For a simple login form: - Natural language: 102 tokens - ASCII art: 84 tokens - HTML: 330 tokens I experimented with a grid-based text format using Excel-like cell references: grid: 4x3 A1..D1: { type: txt, value: "Login" } A2..D2: { type: input, label: "Email" }…

A text format for UI wireframes – comparing token costs across 4 format launched on February 5, 2026 with 5 votes, #1,882 of 16,627 launches that month and more than 75% of that year's launches.

Visit github.com ↗Alternativestop 11% of February 2026

What it does

Text-based UI wireframe generator - Wireframes that AI can read and write - enlinks-llc/katsuragi

In the maker’s words, at launch

I've been exploring how to describe UI layouts to LLMs efficiently. The problem: When you ask an AI to generate or modify UI, how do you describe the current state? - Natural language ("header on top, form below") is ambiguous - ASCII art breaks when edited (alignment issues) - HTML is precise but verbose I ran some…

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