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Product & Strategy

UI/UX Design Services Product Design, Not Decoration

UI/UX design here is product design rather than decoration: user flows, information architecture, interaction states, and a component system engineers build from directly. For AI products we design the harder parts specifically — how uncertainty is shown, how sources are cited, and how a user corrects a wrong answer.

  • Design tokens implemented in code
  • Every state designed, not just the happy path
  • WCAG 2.2 AA as the baseline
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How it runs · 5 steps

  1. Understand the jobs
  2. Structure the information
  3. Design every state
  4. Build the system in code
  5. Design the AI surfaces

Built with

  • Figma
  • Prototyping
  • Design tokens
  • Tailwind
  • React
  • Astro
  • CSS
  • WCAG 2.2 AA

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AI interfaces fail in a distinctive way

A confident sentence with no source, no confidence signal, and no correction path teaches users either to over-trust the system or to stop using it. Both outcomes kill adoption, and neither is a model problem — they are interface decisions made early and rarely revisited.

The same principle applies to conventional software. The error, empty, loading, and permission-denied states get designed last and encountered first, which is why we treat them as part of the flow rather than as edge cases to specify later.

The Problem

What this usually fixes

  • Designs that cannot be built as drawn

    Handover becomes a negotiation, engineers improvise the gaps, and the shipped product quietly diverges from the file.

  • Only the happy path exists

    Empty, loading, error, and permission-denied states are missing from the design, so they get invented under deadline pressure.

  • Inconsistency that compounds

    Six variants of the same button because there is no component system, and every new screen adds another.

  • AI output with nothing to check

    No citation, no confidence signal, no correction path — so users either over-trust it or abandon it, and both look like a model problem.

How We Work

The process

Each step produces something you can review — a document, an environment, or working software — rather than a percentage in a status report.

  1. Understand the jobs

    What each user is actually trying to finish, mapped end to end — including the tasks they currently do outside your product.

  2. Structure the information

    Navigation and hierarchy settled before visual design, because a beautiful screen in the wrong place is still the wrong place.

  3. Design every state

    Empty, loading, partial, error, and permission-denied designed alongside the happy path rather than specified afterwards.

  4. Build the system in code

    Tokens and components defined once and implemented directly, so the built product matches the design without a reconciliation phase.

  5. Design the AI surfaces

    Streaming and latency states, citation display, confidence signals, correction flows, and clear limits on what runs unattended.

What You Get

Why teams choose this

  • Handover without translation

    Tokens and components live in code, so what engineering ships is what design specified rather than an interpretation of it.

  • A product that holds up under stress

    The states users actually hit — empty, slow, failed, forbidden — are designed, so the product degrades gracefully instead of looking broken.

  • Consistency that scales

    A real component system means the tenth screen costs less than the third, and the interface does not fragment as the team grows.

  • AI users can calibrate

    Citations, confidence signals, and correction paths let people judge when to trust an output — which is what sustains adoption.

Stack

Technologies we build with

Tools we have delivered production work on, not a capability matrix. We pick per project and will explain the trade-off behind each choice.

Design
  • Figma
  • Prototyping
  • Design tokens
Implementation
  • Tailwind
  • React
  • Astro
  • CSS
Standards
  • WCAG 2.2 AA
  • Keyboard operability
  • Screen-reader testing
AI patterns
  • Citation display
  • Confidence signals
  • Streaming states
Industries

Who this is for

Highest impact where the interface carries operational weight rather than only brand impression.

  • B2B software
  • Fintech
  • Healthcare
  • Insurance
  • Logistics
  • Education
  • Marketplaces
  • Professional services
Questions

UI/UX Design: common questions

Related reading

What is the difference between UI/UX design and graphic design?

UI/UX design shapes how a product works: user flows, information architecture, interaction states, and the component system engineers build from. Graphic design shapes how a brand looks: logos, visual identity, and marketing collateral. They overlap in craft but answer different questions — one is measured by whether people can finish a task, the other by whether an audience recognises and remembers you. Most software projects need both, usually from different specialists.

Do you design AI-specific interfaces?

Yes, and it is a distinct discipline rather than conventional design applied to a chat window. The patterns that matter are showing uncertainty honestly, citing sources so a claim is checkable, handling streaming and latency without the interface feeling broken, giving users a correction path when output is wrong, and drawing clear boundaries around what the system may do unattended. Getting these wrong produces either over-trust or abandonment, and both are usually blamed on the model.

Do you hand over Figma files or working code?

Both, and the code is the part that matters. Figma carries the exploration and the specification; the deliverable that prevents drift is a component system implemented in code with design tokens — colour, spacing, typography, and radii defined once and consumed by both. Where engineering rebuilds a design from a static file, the two diverge within a release or two. We would rather spend that effort on the implementation than on a reconciliation phase later.

Can you redesign an existing product without a full rebuild?

Usually yes, and incrementally is generally the better approach. We start by building the token and component layer alongside the existing interface, then migrate screens in priority order so value lands continuously rather than at the end of a long redesign. This also keeps the risk contained: each migrated screen is independently testable and reversible. A full simultaneous redesign only makes sense when the information architecture itself is the problem.
Sectors

Where we apply this

The same work looks different depending on the constraints it has to hold. These cover what changes.

Related

Services that pair with this

Where do people get stuck in your product?

Usually there are two or three screens where support tickets cluster. Those are the cheapest places to start.

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