AI tool comparison
Design.MD vs Eyeball
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Developer Tools
Design.MD
Drop one Markdown file, your AI agent stops making ugly UIs
75%
Panel ship
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Community
Free
Entry
Design.MD is a collection of Markdown files that encode brand visual languages in a format AI coding agents actually understand. Drop a DESIGN.md file into your project and your AI coding agent — Cursor, Claude Code, Lovable, v0, Bolt — generates UI that matches the target brand instead of defaulting to "the AI beige" of generic Tailwind defaults. The library ships with 60+ ready-made design system files covering popular brands like Stripe, Notion, Linear, and Vercel, encoding their exact color palettes, typography scales, spacing systems, component patterns, and motion guidelines. Files include Tailwind configurations, CSS variables, and component-level patterns — not just vibe words. If a brand isn't available, there's a custom generation flow and a request system. This is a deceptively simple idea with real product leverage. AI agents are excellent at building functional UIs but terrible at design consistency without explicit constraints. DESIGN.md files act as a persistent design brief that the agent can read every time it touches the front end. For indie builders, agencies, and rapid prototypers, this solves a real and recurring problem — free and open, which removes any friction to adoption.
Developer Tools
Eyeball
Embeds source screenshots in AI analysis to kill hallucinations
75%
Panel ship
—
Community
Free
Entry
Eyeball is a GitHub Copilot CLI plugin with a deceptively simple idea: instead of trusting the AI to accurately summarize documents, it captures screenshots of the actual source material and embeds them alongside the AI's claims in the output report. If the model says "Section 10 requires mutual indemnification," the report shows that exact section highlighted in yellow directly below the claim. The underlying insight is sharp — screenshots cannot be hallucinated. Text can be subtly reworded, paraphrased incorrectly, or synthesized from nowhere. But a screenshot is a literal capture of the source. Built for legal review, compliance analysis, financial due diligence, and any domain where the stakes of an AI error are high. Built by indie developer dvelton, it handles PDFs, Word documents, and web pages. MIT licensed, free to use. Surfaced on Hacker News Show HN today, where it sparked an active discussion about AI verification and the underrated value of visual evidence in AI-assisted analysis workflows.
Reviewer scorecard
“I've been pasting design tokens into system prompts manually like a cave person. The idea of a standardized DESIGN.md that any agent can read is so obvious in retrospect it's embarrassing. The 60+ existing brand files alone make it worth bookmarking right now.”
“This is one of those ideas that makes you think 'why isn't every AI analysis tool doing this?' The implementation is simple — capture screenshots of the source during analysis — but the trust it builds in the output is enormous. I'd use this immediately for any contract or regulatory review workflow.”
“Context window constraints mean agents won't always load the whole DESIGN.md file, and there's no enforcement mechanism — an agent can just ignore it. The approach is also easily replicated in an afternoon. If this doesn't build a community moat fast, someone with a bigger distribution will copy it and win.”
“Screenshots prove the source exists but don't verify the AI's interpretation of it is correct. A model can still misread highlighted text or draw wrong conclusions. Also, PDF-to-screenshot pipelines get messy with scanned documents, multi-column layouts, and complex tables — exactly the docs where hallucinations are most likely.”
“DESIGN.md could become the de facto standard interface between human design systems and AI coding agents — similar to how robots.txt became standard for crawlers. If they nail the format spec and get adoption from major design tool companies, this is genuinely foundational.”
“Eyeball points toward a future of verifiable AI outputs — not just 'the model said this' but 'the model said this, here's the evidence, here's the reasoning chain.' Legal AI adoption hinges on explainability, and embedded source screenshots are a practical step toward outputs that hold up under professional scrutiny.”
“This is the tool I've needed since the first time a coding agent generated a beige nightmare with mismatched fonts. Free, zero setup friction, 60+ real brand systems ready to go. It makes AI-assisted design work actually look professional. Instant bookmark.”
“For research, journalism, and content work where you're citing sources, this is a game-changer. The ability to produce a report where every claim is visually anchored to the source makes the output publishable rather than just useful. The design of the output document matters — would love to see more control over the visual layout.”
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