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Constructed DataSwitch Website

An end-to-end design and development case study for DataSwitch.co.

Role
UX Design Engineer
Scope
Visual design, UX architecture, component system & deployment
Stack
Antigravity, GitHub, Vercel

The Challenge

A platform too complex to explain, sold to buyers who trust nothing.

  • High-tech complexity

    A dense engineering capability set that resists any single, simple explanation.

  • Multi-agent platform

    Several autonomous agents and engine capabilities, each needing a distinct and obvious job.

  • Buyer trust

    Enterprise decision-makers arrive sceptical and need governance and compliance shown, not claimed.

The Solution

Precision as a visual language, built at agentic speed.

  • Dark-mode precision

    A deep dark canvas with restrained accents, reading as high-precision rather than decorative.

  • Agentic design workflow

    Design intent taken straight to production components, removing the traditional handoff entirely.

  • Clear metrics

    Structured proof points carrying the hierarchy, so the value lands before the copy is read.

Agentic Workflow

Four steps, no handoff.

  1. 01

    Ideation & Conceptual UX Structure

    Information architecture, page hierarchy and the narrative order a buyer moves through.

  2. 02

    Antigravity AI Code Synthesis

    Layout intent converted directly into production-ready modular React components and design tokens.

  3. 03

    GitHub Code Governance & Versioning

    Atomic component structure under automated branch workflows, with linting and quality checks on every pull request.

  4. 04

    Vercel Automated Edge Deployment

    Preview builds on every commit and zero-downtime production releases on the edge network.

Product Ecosystem & Logo Design

Five products, one family.

  • DS Migrate

    Automated migration of legacy data estates.

  • DS Srishti

    The core engine orchestrating every agent.

  • DS DataMaps

    Visual source-to-target lineage and mapping.

  • DS DataCitizen

    Self-service data access for non-technical teams.

  • DS InsightCitizen

    Guided analytics over governed enterprise data.

Each product carries a custom mark rendered in a shared green palette and lighting treatment, so the family reads as one system while every agent stays individually identifiable.

Technical SEO Architecture

Semantic data & crawl optimization.

Engineered a high-performance SEO pipeline designed to maximize discoverability, establish machine-readable entity authority, and optimize search engine indexation efficiency across modern search engines.

  • Semantic Entity Graph (JSON-LD)

    Implemented Schema.org structured data to explicitly define site entities — Person, WebSite, CreativeWork and TechArticle. Integrated sameAs authority mapping and knowsAbout taxonomy arrays, making the application fully eligible for search rich snippets and Knowledge Graph recognition.

  • Crawl Budget & Indexation Governance (robots.txt)

    Configured bot-level crawler routing to preserve crawl bandwidth. Explicitly isolated internal API endpoints and staging routes — /api/, /admin/, /drafts/ — while allowing rendering bots full access to essential visual assets and static binaries.

  • Rendering & Asset Accessibility

    Ensured web crawlers can accurately render interactive layouts and WebGL assets by whitelisting asset pipelines without compromising private application infrastructure.

  • Automated Sitemap Discovery

    Integrated dynamic sitemap declaration directly within crawler headers, accelerating new content discovery and reducing time-to-index.

See the finished product in the wild.

Visit the site