01 / Selected project

Tuinzie

An experimental A.I. concept for the garden industry, evolving from proof of concept to full MVP platform

A.I. ExperimentMVPGarden IndustryImage Generation

Ideas in motion

02 / At a glance

About the project

The core of Tuinzie is the editor. It lets users explore their future garden with real materials. The editor currently works with manual masking:

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A.I. Experiment

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MVP

03

Garden Industry

04

Image Generation

03 / The challenge

Clarity before decoration.

The core of Tuinzie is the editor. It lets users explore their future garden with real materials. The editor currently works with manual masking: • upload a garden photo • mask the area by hand • select a product (tile, material, color) • receive four variations At this stage the results land around 50 percent accuracy. In most cases one of the variations matches the chosen product well enough to give a realistic impression. Improving accuracy requires experimenting with conditioning methods, depth workflows, and training the system with more reference images. In the future this will become a guided experience where users receive multiple high-quality concepts in seconds — a task that traditionally costs between €500 and €1500 per render. This experiment shows that 3D-level visualization can be produced on demand and for a fraction of the time and cost.

04 / The solution

One idea. Every touchpoint.

We shaped a clear, flexible visual system that connects the brand, content and digital experience without losing character.

  • Next.js
  • TypeScript
  • Nano Banana
  • ComfyUI
  • Depth Anything

05 / Visuals

A closer look.

Brand moments, screens and project details gathered into one compact gallery.

06 / In motion

Designed to move.

Short loops show the work in context while keeping the case study quick to scan.

AI garden generation