Ghost Pixel

The hardest part of building an AI product isn't the AI.

It's everything the user touches. Ghost Pixel embeds into your team to design that part — in code, one loop, no handoff.

Designed for

Agent-Native

We build and test agent-native interfaces — software where agents are first-class citizens, not an afterthought. Pixel is our test bed.

Here's where
it gets hard.

Not hard like complicated. Hard like most teams reach these problems without knowing what they're walking into.

Agent-native design

Most apps were built for a human with a mouse. Now your users want to hand tasks to an AI. The gap between those two things is a design problem — and most teams don't see it until something breaks.

Designing for trust

A great AI feature nobody uses is just a demo. Trust isn't a model problem. It's an interface problem. It shows up in what the AI says before it acts, how it handles being wrong, and whether users feel in control or just along for the ride.

The full scope of what we cover

  • Design system updates Tokens, components, and docs that keep pace with your product — not lag behind it.

  • User research Interviews and usability tests that ground decisions in real behavior, not assumptions.

  • Wireframes & flows Every journey mapped before a pixel is placed, so scope stays clear and surprises stay small.

  • High-fidelity UI Production-ready screens with states, spacing, and motion all accounted for.

  • Design QA Ship reviews that catch the gap between what was designed and what actually got built.

  • Interactive prototypes Built in code, not slides — so stakeholders react to something real, not something imagined.

  • Developer handoff Specs, assets, and annotations engineers can implement without a single follow-up question.

  • Content design The words inside the product — labels, errors, empty states, and onboarding — written to match how users actually think.

Latest work that makes AI easier to trust.

Recent product work shipped to help teams reduce user confusion, expose what their agents are doing, and give people clear ways to recover when AI gets something wrong.

Work example 1
Work example 2
Work example 3
Work example 4
Work example 5
Work example 6

Pick your
starting point.

Start with an audit if you're not sure where to begin. Jump straight into a project or monthly engagement if you already know what needs to move.

Start here

Design Audit

Map the problem before committing to the fix.

$1,500

We spend a week inside your product — using it like a real user, documenting every place it breaks trust. You get a specific, prioritized roadmap back. Most engagements start here.

  • Full interface review: trust signals, error states, agent transparency, correction flows, latency handling
  • 10–15 specific issues — what's broken, why it matters, and exactly what to do about it
  • 30/60/90-day implementation roadmap
  • Delivered in one week: written doc and recorded Loom walkthrough

Fixed-Scope Project

One thing, defined upfront and shipped.

$6,000

We scope it together, then design and build it directly into your repo. Same hands from kickoff to merge — no interpretation gap, no surprises at the end.

  • Scope locked before work starts — no drift, no debate mid-project
  • Design and code in one pass — nothing waits on another person
  • Production-ready, merged into your repo when we're done
  • If nothing ships, you don't pay for the work that didn't

Ghost Pixel takes on 2 - 3 clients at a time

I started Ghost Pixel because the best design work I've ever done happened when I was closest to the problem.

Not in a review meeting. Not polishing slides. In the work — with the team, in the code, figuring it out in real time. I've done that for ten years at places like LiveKit, Snowflake, and IBM. Ghost Pixel is how I do it for you.

No pitch, no deck. Just a 25 minute conversation to see if it's a fit.

View my LinkedIn