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DS x AI Insights

A searchable, filterable reference tool for AI and automation use cases in design systems.

Built as a practitioner-curated alternative to analyst-style reports — sourced from real teams, real repos, and real engineering blogs. No hype, no claims without evidence.

What it does

  • Browse 15 use cases covering how DS teams are using AI and automation today
  • Filter by Category (Tokens, Components, Docs, Governance, Tooling, Accessibility), Approach (LLM, Static analysis, Rule engine, CI pipeline, Automation), and Maturity (Experimental, Proven, Production)
  • Search across titles, summaries, tools, and outcomes
  • See verified use cases with direct links to primary sources
  • Understand failure modes and caveats alongside outcomes

Stack

Single HTML file. No build step, no dependencies.

  • Tailwind CSS via CDN for layout and spacing
  • CSS custom properties for the color palette
  • Vanilla JavaScript for filtering and search

Color palette

Name Hex
Snow #F5F9F8
Mist #A1A2AB
Fog #575669
Dusk #3B3A4A
Midnight #252330
Plum #595168

Running locally

Open index.html directly in a browser. No server required.

Deploying to Vercel

Connect the repo to Vercel. It will auto-detect the static HTML and deploy on push. The vercel.json config is included.

Sources

Use cases link directly to primary sources including GitHub repos, engineering blogs, and conference talks from teams at Shopify, GitHub, Airbnb, Salesforce, Microsoft, Zencity, and others.

About

AI and automation use cases for design systems — practitioner-curated, source-backed

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