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ai2 Design System

Your agent writes the UI. This is the system it reads.

Every design system is complete until you need a small outline button in a warning tone. Then you are writing custom CSS, and the system you adopted for consistency is what makes you inconsistent. ai2 makes that button a prop. 51 MIT components, each with a real variant x tone x size matrix on one OKLCH token layer, light and dark from one source. 307 styled variants and 8 presets on top. Built for the machine writing your UI too: machine-readable axes, llms.txt, MCP. Free core, no account.

Top comment

Every design system is complete until you need a small outline button in a warning tone. Then you are writing custom CSS at midnight, and the system you adopted for consistency has become the thing making you inconsistent. I am Berkay. I designed products for 15 years, watched that happen on every team I worked with, and built ai2 so that button is a prop. WHAT THAT MEANS IN PRACTICE Every component carries a real variant x tone x size matrix. Not three variants and a shrug. Button alone is 5 x 6 x 10 = 300 combinations, all generated from one OKLCH token layer, all working in light and dark from a single source. You stop leaving the system. THE PART I CARE ABOUT MOST I work with coding agents every day, and they kept getting component APIs wrong. Not because the components were bad, but because nothing in a normal library is written for a machine to read. So I built the registry the other way round: machine-readable axes on every item, an llms.txt index, an llms-full.txt that returns every component's axes and dependencies in one request, and MCP so your agent installs and themes without you pasting commands. The human docs fall out of the same source. If your agent writes most of your UI now, this is the difference between it guessing and it knowing. FREE, MIT, TODAY npx shadcn@latest add @ai2/button 51 components. 307 styled variations if the plain set is too plain. 8 presets. An accent theme generator. An inspiration gallery of 67 real sites broken down into their tokens. A live extractor: give it a URL, get its design tokens back. No account, nothing time-limited, nothing crippled. THE PAID SIDE, PLAINLY Pro is $99 (going to $149) for one seat, Ultimate $249 (going to $399) for up to ten. One-time, lifetime updates, no subscription. The core stays MIT either way. Shipping today in Pro: 14 pricing blocks installable through the CLI, a Pro MCP registry your agent can authenticate against, and every Framer product I publish (Halcyon, Helio, Pulsar). Still in development, and marked that way on the pricing page instead of sold as done: premium themes, the full theme generator, a Figma kit with variables in both modes, and Vite / Base UI / Radix starters. Ultimate adds the Framer design system with tokens synced to the code side. Tailwind v4, radix-ui, React 19. v0.7.0, so it is early. Source: https://github.com/ai2design/ai2... I would rather have criticism than upvotes. Tell me the axis naming is wrong (variant / tone / size), or that a matrix this wide cannot stay maintainable. Those are the two things I am least sure about.

About ai2 Design System on Product Hunt

Your agent writes the UI. This is the system it reads.

ai2 Design System was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #107 on the daily leaderboard. Every design system is complete until you need a small outline button in a warning tone. Then you are writing custom CSS, and the system you adopted for consistency is what makes you inconsistent. ai2 makes that button a prop. 51 MIT components, each with a real variant x tone x size matrix on one OKLCH token layer, light and dark from one source. 307 styled variants and 8 presets on top. Built for the machine writing your UI too: machine-readable axes, llms.txt, MCP. Free core, no account.

On the analytics side, ai2 Design System competes within Design Tools, Open Source, Developer Tools and GitHub — topics that collectively have 889.3k followers on Product Hunt. The dashboard above tracks how ai2 Design System performed against the three products that launched closest to it on the same day.

Who hunted ai2 Design System?

ai2 Design System was hunted by Berkay Erdinc. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of ai2 Design System including community comment highlights and product details, visit the product overview.