The Design Suite for AI
Make the site your AI built better than most of the web.
An AI builds you a good-looking site in an afternoon, then skips the layer that never shows in a demo: a real screen when the data is empty, controls a keyboard can drive, contrast a colorblind reader can read, metadata a crawler can find, a key that stays in the user’s browser. And AI is worse at it than the average site already is: ask one for an accessible interface and it scores 29%, and asking harder makes it worse. Over a million AI API keys leaked into public code last year. DS4AI drops in and fills that layer by default, so your AI build ships complete, not just pretty.
Keep the AI draft
An AI gets you a working, good-looking site in an afternoon. That part it does well. Start there.
Fill the invisible layer
DS4AI drops in what the draft skipped: readable color, operable controls, understandable depth, resilient states, private keys, findable metadata, fast delivery.
Compose, don’t rebuild
Seven drop-in instruments, zero dependencies, built to work together and called directly by an agent. An eighth, the words layer, is on the way.
The instruments, building themselves
A semantic palette solved to verified contrast floors, in light, dark, and modes tuned for colorblind and low-vision readers. Set it once, and every component stays legible for everyone who lands.
83.9% of the top million sites ship text below the contrast bar. 1 in 12 men cannot tell your error red from your success green.
Tuned, Equal-Mode Palettes for Every Reader
The common WAI-ARIA interaction set, keyboard-operable and screen-reader-labeled out of the box, the exact components an AI ships as div-shaped decoration.
46% of the top million home pages have links a screen reader cannot name, and AI-built interfaces score 29% on accessibility, worse when you ask for it.
Generally Reachable And Semantically Precise
Layered disclosure keeps the surface simple and sets the detail one step down, so a complex thing reads clearly and the reader reaches every level themselves, in the order they are ready for.
Readers scan before they read. Layered disclosure is how the full substance survives that scan: the overview stands on its own, and the depth is right there for the reader who wants it.
Layered Understanding, Calibrated In Disclosure
Ready-made loading, empty, error, and not-found states, so the screen holds the first time the data comes back empty or a request fails, the moment a demo never reaches.
A page sitting on dead air reads as broken within about a second. A real loading state shows the reader it is working, so they wait for the content instead of leaving.
Graceful Rendering At every Condition, Explicit
Your users bring their own model key, held in their browser and never sent to your server or compiled into your bundle.
Over a million AI API keys leaked into public code last year, up 81%. HASP's answer is structural: there is no key to leak, because the user holds it.
Hold Any-provider Secrets Privately
Head metadata, social cards, structured data, and site files that let a page represent itself to search, to shares, and to agents, written into the HTML that is actually served.
Meta descriptions are missing on two thirds of sites, and Open Graph is broken or missing on most, so the link you paste shows nothing.
Broadcasts Every Author Claim Openly to Networks
Responsive image markup, resource hints, font tags, and cache config tuned to the Core Web Vitals, so the page is quick and does not jump on the device most people use.
Fewer than half of sites pass the performance bar on mobile, and the home page most visitors land on fares worst of all.
Fast Loads, Every Element Timed
The other instruments fix the build. TUNED fixes what the build says. It captures your intent and tunes the writing to it, so the page reads as authored instead of averaged, the one thing an AI defaults to getting wrong.
97% of AI-written content gets edited by a human before it is publishable. That editing pass is exactly what TUNED does as method, so the page reads as authored the first time instead of on the third revision.
Tuned to the Utterance, Not the Established Default
The standard at the center. It defines the whole of a finished front-end build and ships a conformance auditor that checks your live site against every axis of it.
The problems it solves
Each of these is a real failure in its own right. An AI writing the first draft just hits them faster, and more often.
The dashboard demos clean, then breaks the first time the data is empty.
Ready-made empty, loading, and error states.
It works with a mouse, but a keyboard and a screen reader hit a wall.
Real, operable, labeled interaction components.
A complex page shows everything at once and buries what the reader actually needs.
Layered disclosure, the depth a reader opens when ready.
You paste the link and there is no preview; you search and it is not there.
Findability metadata written into the served HTML.
Smooth on your laptop, janky on a phone.
Delivery tuned to the Core Web Vitals.
The palette looks right to you and disappears for the next reader.
A palette solved to verified contrast floors.
The model key ends up shipped inside the bundle.
The user's key held in their browser, never sent.
The copy reads like a machine wrote it.
Writing tuned to your intent, not the average.
Focused by design
Deliberately scoped, clear about its edges.
DS4AI covers what a shipped front end needs and points you elsewhere for what it does not: backend and monitoring, responsive layout, legal copy. Knowing the edges is part of what makes it dependable, and a promise kept to a smaller frame is worth more than a claim that reaches past what was built.
Get started
The whole suite ships as tools an agent can call.
DS4AI is built to be composed by the AI already building your site. A DS4AI MCP server exposes the family as callable tools, and the machine-readable manifest carries the suite as data, so an AI composes the instruments directly instead of hand-rolling each one.
Point your agent at it
Hand your coding agent the agent-instruction file. It tells the agent to compose the instruments instead of hand-rolling their concerns.
It reads the manifest
The manifest carries every instrument, its axis, API, and package as data, so the agent composes them directly.
Take the repos you need
Each instrument is a zero-dependency drop-in. Clone the ones your surface needs; they are built to work together.