Intelligent Web Experiences

Overview

Web experiences should feel alive. We build interfaces that adapt to context, behavior, and intent—powered by AI, live data, and thoughtful UX. From personalized landing pages to real-time dashboards, we focus on performance, accessibility, and interactions that feel intentional.

"Intelligent" means something specific here, not a sticker on the homepage: a site that answers visitors' questions instead of making them dig, surfaces the next relevant step instead of a generic menu, and updates the moment the data does. We hold that ambition to measurable standards—Core Web Vitals in the green, WCAG AA accessibility, and conversion numbers you can compare before and after—because an experience that impresses in a demo but loads slowly on a mid-range phone isn't intelligent, it's decoration.

Capabilities in Detail

AI-powered personalization that surfaces relevant content, recommendations, and flows based on user behavior and preferences. Rules where rules are enough, models where they aren't—and consent-first by design, so relevance never depends on invasive tracking.

Real-time dashboards with WebSocket connections and optimistic updates so data feels instant. We design for the awkward states real dashboards live in—partial data, reconnects, empty first runs—so the polish survives contact with production.

Accessible interfaces that meet WCAG AA and work with screen readers and keyboards. Semantic HTML first, ARIA only where semantics can't reach, and testing with actual assistive technology rather than a checker plugin alone.

Micro-interactions that provide feedback without distraction—subtle transitions, loading states, and hover cues. Every animation has a job: confirm the action, orient the eye, or buy perceived speed. Anything decorative that costs milliseconds gets cut.

Performance engineering for fast first load, smooth scrolling, and minimal layout shift. Server rendering, image optimization, code-splitting, and caching tuned against a performance budget that's enforced in CI—not remembered occasionally.

CMS-backed content so marketing teams can update copy and assets without code changes. Structured content models, preview environments, and publishing workflows that don't route every typo fix through an engineer.

Our Approach

We design for the full experience—loading, empty, error, and success states. We prototype interactions early and test on real devices. We use Framer Motion for animations that respect prefers-reduced-motion. We optimize for Core Web Vitals and measure before and after. And we treat search visibility as an engineering requirement: clean semantics, structured data, and pages built to be understood by crawlers and AI assistants as well as people.

How an engagement runs

1. Discovery. We audit what exists—analytics, Core Web Vitals field data, user journeys—and agree on what the new experience must achieve, in numbers where possible.
2. Prototype (weeks 1–3). The riskiest screens and interactions first, as clickable prototypes on real devices. Cheap to change now, expensive later.
3. Build (weeks 3+). Two-week milestones on a staging URL, with content modeling and CMS setup running alongside the interface work.
4. Hardening. Performance passes against the budget, an accessibility audit with assistive technology, cross-device testing, and structured-data validation.
5. Launch and measure. Staged rollout, analytics wired to the goals from discovery, and a follow-up review comparing the numbers we promised to the numbers we got.

A focused marketing site typically takes four to six weeks; a personalized product experience or real-time dashboard, eight to twelve. Quotes follow the discovery call.

Tools and stack

Next.js with React Server Components, Tailwind CSS, and Framer Motion on Vercel—with ISR and edge rendering where audiences are global. WebSockets or server-sent events for live data. Sanity, Payload, or Contentful for structured content. GA4 with consent mode for measurement. For the intelligent layer we default to Anthropic's Claude—on-site assistants, semantic search, content recommendations—reaching for dedicated image or video models where the task calls for them. The same right-tool thinking applies down the stack: no library ships unless it pays for its kilobytes.

FAQs

How do you balance personalization with privacy?
We design for consent-first. Personalization can run client-side with minimal data, or server-side with clear data policies. We avoid tracking that doesn't serve the user.

What's your approach to accessibility?
We follow WCAG AA, use semantic HTML, ensure keyboard navigation, and test with screen readers. We treat accessibility as a requirement, not an add-on.

Do you work with design systems?
Yes. We integrate with existing design systems or help establish one. We use Tailwind for consistency and custom tokens for brand alignment.

Can you fix Core Web Vitals on a site you didn't build?
Yes. We start from field data—what real users experience, not lab scores—find the handful of causes that dominate (usually oversized images, render-blocking scripts, and layout shift), and fix in priority order. Most sites don't need a rebuild to reach green; they need the right ten fixes.

Can you add an AI assistant to our existing site?
Yes—an assistant grounded in your actual content and connected to your systems, with guardrails around what it can say and do. It's a natural first step into our AI & Automation work, and it doesn't require replatforming.

Do we need a full rebuild, or can you work with what we have?
We recommend the smallest intervention that reaches the goal. Sometimes that's a performance and UX pass on the existing stack; sometimes the platform genuinely fights every improvement and a rebuild is cheaper than the fight. The discovery audit tells us which—and we show our reasoning either way.