Pynk Systems

3D garment production involves repeated preparation, manual file handling, and multiple application handoffs. Those steps slow delivery and create opportunities for errors, especially when a garment needs another fitting or texture revision.

I designed and developed an integrated suite connecting garment preparation, 3D processing, rigging, texturing, and virtual-world delivery. The tools automate repeatable tasks while keeping creative decisions and quality review with the artist.

My approach began with the production process: identify repeated work, define what each tool should accomplish, and refine the workflow through debugging, testing, and use.

The suite supports the handoffs across these stages. It is a connected workflow with artist review, rather than a fully unattended production process.

My previous production time was 2+ weeks per garment. With this workflow, it is approximately 1–2 days, excluding marketing. More repeatable preparation and exports also make it simpler to revisit a garment for changes.

The timing reflects my own production experience, rather than a controlled benchmark across all garment types.

I personally led workflow architecture, process analysis, Python scripting, plugin development, debugging, testing, and iterative improvement. I used AI-assisted coding to support implementation while directing the workflow, evaluating behavior, and deciding what needed to change.

Technologies: Python, Blender, Marvelous Designer, Substance Painter, LSL, and AI-assisted development.

Pynk Systems is a functional beta, actively being refined.

It supports my garment-production workflow today. Further refinement focuses on reliability and the experience of using the tools across production stages.