Role

Lead Designer

Responsibilities

UX / Features scope / Vision

UX audit
Visual direction

Gravity Sketch — AI for VR and Desktop

Gravity sketch had no AI in the product. I shipped image-to-3D in VR and image-to-image on desktop with 8,200+ AI generations and ~5,000 models imported into active design work, and 70% of users came back for more.


Challenges

Challenges

  • Where AI belonged across two very different surfaces: a VR headset and a desktop app.

  • A direction to raise funds, before there was anything built to show.

  • An app that had grown faster than its own structure, so nothing new had an obvious home.

App architecture

App architecture

I mapped the entire app and ran workshops with power users to test the findings in-product. Every subsequent release had to answer one question: where does this sit, and can users find it?

Research plan

Research plan

Customer interviews · design consultants · community feedback

01

Community users

Beginners, hobbyists, and power users exploring the tool, with a clear opportunity to become customers over time.

90%+

90%+

OF THE USER BASE

OF THE USER BASE

02

Customers

Power users, or those growing into that role, who are driven by productivity, repeatable workflows, and faster outcomes.

PRODUCTIVITY

PRODUCTIVITY

Findings

Findings

Customers didn’t want AI to design for them; they wanted it to accelerate their own thinking.


  1. Start modelling with less friction

  • image > 3D (create base shapes from sketches)


  1. Communicate ideas more clearly with less effort

  • image > image (similar to Vizcom)


  1. Set up environments and add textures with ease

  • prompt > image (outputs are .hdr and .pbr)

Vision

Vision

Built with the CEO, this map defines the interaction model:

References and ideation

References and ideation

Gravity Sketch project image 1
Gravity Sketch closing slideshow image 1

MVP & User test

MVP & User test

The architecture map showed me users don't go hunting in panels, three entry points, one pattern.

The constraint we didn’t expect

The constraint we didn’t expect

This is where the project nearly died. Corporate policies blocked customer teams from touching our AI features.


I shipped anyway, on two routes: image-to-3D into community beta so we'd learn fast, and a Vizcom integration so enterprise designers could use a tool their procurement had already cleared without leaving our app.

Shipped

Shipped

  1. Image to 3D — Built on an open-weight, MIT-licensed 3D generation model on AWS. I designed the front end that let users choose a model and control the output.


  1. Integrating existing AI tools — We brought Vizcom into Gravity Sketch’s VR browser, letting enterprise designers use their existing access in a spatial workspace.


  1. Desktop Image to 3D and image-to-image workflows for design reviews.

  1. Image to 3D — Built on an open-weight, MIT-licensed 3D generation model on AWS. I designed the front end that let users choose a model and control the output.


  1. Integrating existing AI tools — We brought Vizcom into Gravity Sketch’s VR browser, letting enterprise designers use their existing access in a spatial workspace.


  1. Desktop Image to 3D and image-to-image workflows for design reviews.

  1. Image to 3D — Built on an open-weight, MIT-licensed 3D generation model on AWS. I designed the front end that let users choose a model and control the output.


  1. Integrating existing AI tools — We brought Vizcom into Gravity Sketch’s VR browser, letting enterprise designers use their existing access in a spatial workspace.


  1. Desktop Image to 3D and image-to-image workflows for design reviews.

Impact

Impact

  • 8,200+ AI generations, ~5,000 models imported into active design work since launch (Apr 2025)

  • 813 unique VR users adopted the feature, released through GS Labs (opt-in beta).

  • 59% completed the full flow — image to imported 3D model in scene

  • 70% returned, repeat users averaging ~10 sessions

  • Validated the AI direction → shaped the vision roadmap developed with the CEO

Learnings

Learnings

  • The lesson wasn't about the model. It was about where AI sits in the workflow. People didn't want the tool to design for them, they wanted help getting past the blank page. Once we understood that, the design questions got easy.


  • I found the procurement blocker in the room with the customer, not in research phase.

  • Align success metric with the CEO together with the vision.