What Is Web Design MD?
A beginner-friendly guide to using DESIGN.md to style an AI-built website, match a reference, keep new pages consistent, and restyle without starting over.
Your AI-built site works. The buttons click, the pages load, and the copy is in place. But the result still looks like a template. You know you want it to feel more like a site you admire; you may not know how to explain the difference.
The practical idea behind web design md is simple: give your AI coding agent a DESIGN.md before you ask it to build or restyle the interface. You can choose an existing file based on a visual direction you like instead of defining every rule yourself.
You do not have to invent a color palette, understand type scales, or write a forty-line prompt about spacing. The file carries those decisions. You still decide what to build. DESIGN.md helps the agent understand how it should look.
What can you use a DESIGN.md for?
A DESIGN.md is useful when you can describe the result you want but struggle to give precise visual instructions. Here are the five most common jobs it can do.
Style your site without being a designer
Pick a ready-to-use DESIGN.md based on a visual direction you like and give it to your AI coder. The file describes how colors, type, spacing, surfaces, and components work together.
You do not need to choose every value yourself. You can concentrate on the product, the content, and what each page needs to do.
Match a reference style you like
Maybe you like the restraint of one website, the typography of another, or the density of a particular dashboard. A screenshot shows the agent one finished screen. A DESIGN.md explains the rules behind that screen.
The goal is not a pixel-for-pixel copy. It is to give the agent a usable visual reference so your own product can follow a related design language.
Keep new pages visually consistent
Without shared design context, the homepage may use one spacing rhythm while the pricing page uses another. Buttons change shape. Cards get new shadows. The product slowly turns into a collection of unrelated AI decisions.
When each task refers to the same DESIGN.md, the agent starts from the same rules. The tenth page has a much better chance of belonging with the first.
Restyle existing pages without starting over
You do not need a blank project. Give the agent your current page and a DESIGN.md, then ask it to change the visual layer while preserving the content, behavior, and route structure.
This is useful when the site already works but feels generic, dated, or inconsistent. The task becomes "restyle this implementation with these rules," not "rebuild my entire product."
Give your AI coder a reusable design brief
Prompts disappear into chat history. A file stays with the project.
Instead of typing "make it clean, premium, and modern" every time, you can tell the agent to read DESIGN.md before it edits the UI. The brief can be reviewed, versioned, and improved as the product changes.
What is Web Design MD?
Web Design MD usually refers to DESIGN.md, a Markdown file that describes how a digital product should look and feel. Think of it as a README for the visual side of your product.
It can describe exact values, such as colors and spacing, along with the reasoning that makes those values useful. For example, a file might say which color is used for primary actions, why body copy is deliberately muted, how wide content should be, and when cards should have a border instead of a shadow.
Google's current DESIGN.md format specification formalizes the file in two layers:
- YAML front matter for machine-readable tokens such as colors, typography, corner radii, spacing, and components.
- Markdown sections for human-readable rationale and instructions.
The distinction matters. Exact values tell the agent what to use. The written guidance explains where to use them and what kind of result the system is trying to produce.
You may also encounter simpler, prose-first files. The open-source VoltAgent/awesome-design-md collection helped popularize design analyses based on real websites. These files focus on giving coding agents enough visual context to generate consistent interfaces.
Why AI-generated websites often look generic
An instruction such as "make it modern" leaves almost every design decision open. The agent still has to choose the font sizes, spacing, border radius, surface colors, card treatment, button hierarchy, and dozens of smaller details.
When the prompt does not provide a specific system, the model reaches for familiar patterns. That is how you get the centered hero, rounded cards, safe color palette, and interchangeable SaaS layout you have already seen many times.
"Make it look like Linear" is not much better. It names an outcome but does not explain the system behind it. The agent may imitate obvious surface details while missing the density, hierarchy, typography, and interaction rules that make the reference coherent.
A DESIGN.md reduces that guesswork. It gives the agent constraints that survive beyond one prompt.
| One-off instruction | Reusable design context |
|---|---|
| Describes the current task | Guides the project across tasks |
| Often relies on words such as "modern" or "premium" | Names specific visual rules and roles |
| Gets buried in chat history | Lives with the project |
| Lets each page drift in a new direction | Gives new pages the same starting point |
What goes inside a DESIGN.md file?
A useful file moves from broad direction to specific implementation rules. It does not need to be enormous, but it should answer the questions an agent would otherwise guess. These are the decisions a well-written DESIGN.md saves you from documenting yourself.
Visual direction
Start with the intended atmosphere. Is the interface editorial or utilitarian? Dense or spacious? Quiet or expressive? This gives the rest of the decisions a reason to exist.
"Minimal" alone is weak guidance. "A restrained editorial interface with generous reading space, compact controls, and one warm accent" is something an agent can apply.
Colors and their roles
A list of hex values is not enough. The file should explain what each color does: page canvas, raised surface, primary text, muted text, borders, actions, and status feedback.
Roles keep the palette coherent. They also stop the agent from using the accent color everywhere simply because it is available.
Typography
Typography guidance can cover font families, sizes, weights, line height, letter spacing, and where each level belongs. It should distinguish a display heading from body copy, labels, navigation, and code.
Layout and spacing
This section describes content width, grids, section spacing, page rhythm, and responsive behavior. It tells the agent whether the product should feel compact or open and how that changes on smaller screens.
Components and states
Buttons, inputs, cards, navigation, tables, and dialogs need more than a default appearance. Useful guidance includes borders, corner radius, elevation, hover states, focus states, disabled states, and motion.
Guardrails
Good design direction also says what to avoid. Examples might include "do not use gradients," "do not place every section inside a card," or "reserve the accent color for actions."
These rules are often what prevent the output from sliding back toward generic defaults.
DESIGN.md compared with prompts, screenshots, tokens, and Figma
DESIGN.md does not make your other design tools obsolete. It fills a different gap: persistent visual context for the agent doing the implementation.
| Tool | What it gives the agent | What is usually missing |
|---|---|---|
| One-off prompt | Instructions for one task | Durable rules for later tasks |
| Screenshot | The surface of one screen and state | Rationale, responsive behavior, and reusable roles |
| Design tokens | Exact values | Guidance about why and where to use them |
| Component library | Reusable implementation code | A distinct visual direction for the product |
| Figma | A visual workspace and handoff source | Always-available text context inside the coding workflow |
DESIGN.md | Agent-readable visual rules and rationale | Finished code and visual review |
A screenshot and a DESIGN.md can work together. So can Figma and a DESIGN.md. One shows the target; the other explains the repeatable decisions behind it.
How to use a DESIGN.md with an AI coding agent
The workflow can be simple.
- Choose a
DESIGN.mdthat fits your product and visual direction. - Put it in the project root so it is easy for both people and tools to find.
- Tell the agent to read the file before making UI changes.
- Give it one contained task, such as a landing page or pricing page.
- Review the result for visual accuracy, responsiveness, and accessibility.
- Update the file when a rule is missing or unclear.
Google's Stitch design-to-code codelab uses a similar flow: fetch design context, generate a DESIGN.md in the project root, let the agent build, then compare the implementation with the original design and refine it.
Here is a practical prompt for an existing page:
Read DESIGN.md before editing the UI.
Restyle the existing pricing page using its visual rules.
Keep the current copy, routes, pricing data, and behavior unchanged.
Apply the documented typography, spacing, colors, surfaces, and component states.
Check the result at mobile and desktop widths.
For a new page:
Read and follow DESIGN.md.
Build a responsive features page for this product.
Reuse existing components where they fit, but style the page according to the
layout, typography, color, and interaction rules in DESIGN.md.
Do not introduce a new visual pattern unless the file leaves the decision open.
Do not assume every tool automatically discovers the file. Agent behavior differs by product and setup. Naming DESIGN.md directly in the request is the safest habit.
What builders want from DESIGN.md
In the State of DESIGN.md 2026, based on onboarding responses from more than 64,000 getdesign.md users, 59.4% said their main goal was to improve how their site looks. Another 23.6% wanted to match a design they admired, while 17% wanted to use their own design as a brand source.
The same report found that 64.3% were building with AI coding assistants and 22% with AI app platforms. In other words, many people already have a way to generate the interface. Their next problem is giving that interface a specific, consistent visual direction.
This explains why the file is useful to non-designers. It turns "I know this does not look right" into instructions the agent can act on.
A small before-and-after example
Suppose the first request is:
Build a landing page for my project management app. Make it modern.
The agent has to invent almost everything. Even if the page is competent, the result will probably follow common landing-page patterns.
Now give the same agent a DESIGN.md and a narrower instruction:
Read DESIGN.md, then build a landing page for my project management app.
Use the documented visual hierarchy, content width, typography, spacing rhythm,
button treatment, and surface rules. Keep the product copy original.
The product requirement did not change. The second request simply gives the agent a defined visual system. That makes individual decisions easier to review: Does the heading follow the type scale? Are surfaces using the right contrast? Do buttons and cards behave consistently?
The second output is easier to evaluate. "Better" is subjective. Following an explicit system can be checked.
What DESIGN.md is not
A DESIGN.md is useful context, not a magic theme installer.
- It is not production UI code.
- It is not a replacement for accessibility and responsive testing.
- It does not guarantee a pixel-perfect result.
- A community analysis is not an official brand guide unless the brand published it.
- It does not remove the need for visual review and iteration.
The agent can still misunderstand a rule or apply it badly. Treat the file as a strong brief and a review checklist, not an autopilot switch.
Frequently asked questions
Is Web Design MD the same as DESIGN.md?
"Web design md" is a search phrase people use for the idea. DESIGN.md is the filename and convention discussed in this guide.
Where should DESIGN.md live?
The project root is the clearest default. It keeps the file visible and easy to reference. A tool may support another location, but a predictable root-level file reduces confusion.
Does Claude Code or Cursor read DESIGN.md automatically?
Do not rely on automatic discovery. Tell the agent to read and follow DESIGN.md before it edits the UI. You can also reference the file in project-level agent instructions if your tool supports them.
Do I need to write a DESIGN.md from scratch?
No. You can document typography, colors, spacing, components, and responsive behavior yourself, but translating an entire visual system into instructions an AI coder can follow takes time.
getdesign.md offers ready-to-use DESIGN.md files based on independent analyses of public websites. Choose a visual direction, add the file to your project, and start building without documenting every rule from scratch.
Is DESIGN.md a replacement for Figma?
No. Figma is a visual design and collaboration environment. DESIGN.md is text context for people and coding agents. A team can use both: Figma for visual exploration and review, and DESIGN.md for persistent implementation guidance.
Give your AI a design memory
Start small. Pick one page that already works, choose a ready-to-use DESIGN.md, and ask your agent to restyle that page. Keep the content and behavior fixed so you can judge the visual change clearly.
If the result moves in the right direction, keep the file in the project and use it on the next page. That is the real value of the format: you stop starting the design conversation from zero.