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LANGOLF DIGITAL
All work07 / 15
3D / AR2025

Custom Cat Tree Studio

An interactive 3D product configurator for custom cat furniture

A product configurator exploring real-time 3D customization of cat trees: procedural geometry responds as the customer adjusts size, tiers, materials, and features, with pricing and ordering logic following the configuration.

Status
Functional Prototype
Category
3D / AR
Year
2025
Primary stack
ReactTypeScriptThree.js
Demo
In preparation
Custom Cat Tree Studio 3D product configurator visualization

Project visualization — a designed representation, not a literal screenshot

01Overview

What this is

A product configurator exploring real-time 3D customization of cat trees: procedural geometry responds as the customer adjusts size, tiers, materials, and features, with pricing and ordering logic following the configuration.

Explores

  • 3D product configuration
  • Procedural geometry
  • Pricing logic
  • Product customization
  • Ordering
  • Firebase
  • Geometry testing
  • Responsive UI

02Explore the build

The demo and the build insight

The demo

Demo in preparationFunctional Prototype

This project is being actively developed.

Current build: functional prototype. There isn't a public application to enter yet — the verified build details sit below in Build Insight.

Build insight

01 / 04
Current build
Functional Prototype
Architecture and features below are the real build.
Demo
Coming soon
No demo url configured yet on this project.

Build insight — real project data, not a live application.

Configuration is modeled as a normalized state, and every downstream artifact — geometry, price, order payload — is a pure function of that state. There is no separate “design” and “order” that can drift apart.

03Problem · opportunity

What it sets out to solve

Custom products are hard to sell online because the customer cannot see what they are buying. A configurable cat tree could be dozens of variations, and a photo grid cannot communicate any of them accurately.

04Concept

The core idea

Give the customer a live 3D model of the exact configuration: as they change dimensions or materials, the geometry updates, the price updates, and the order reflects precisely what the builder made.

05What I built

What's actually in the code

A functional prototype: procedural 3D geometry driven by configuration, pricing logic tied to the same state, a customization flow, ordering workflow, geometry tests, and a responsive configuration UI running against Firebase.

Approach

Procedurally generating the 3D model from configuration variables so every valid combination yields a real, renderable object. Pricing logic derives from the same configuration state, and ordering captures the full spec. Firebase stores configurations and cart data.

06Key features

What's implemented today

  • Procedural generation so the model always matches the specification
  • Configuration state as the single source shared by model, price, and order
  • Transparent pricing logic derived from configuration choices
  • Ordering workflow that captures the exact built configuration
  • Automated geometry tests validating generated models
  • Responsive, tactile configuration UI

07Architecture

How it's structured

architecture.md

Configuration is modeled as a normalized state, and every downstream artifact — geometry, price, order payload — is a pure function of that state. There is no separate “design” and “order” that can drift apart.

Design notes

Procedural generation keeps the artifact count at one instead of exploding SKUs. Geometry tests validate that configurations remain physically coherent as dimensions change.

08Technology

The stack

  • React
  • TypeScript
  • Three.js
  • Firebase
  • Tailwind CSS

09Challenges · lessons

Where it got hard, and what it taught me

Challenges

  • Making procedural geometry robust across the full configuration space
  • Keeping pricing legible enough that a customer understands what drives the total
  • Enforcing physical constraints (e.g., platform spacing) inside the configurator

Learnings

  • Configuration-driven forms of commerce benefit enormously from treating state as the single source of truth
  • Live visualization converts a “can I even do this” product into a confident purchase
  • Testing generated geometry is necessary the moment configurations become combinatorial

10Current status

Where this project sits today

Functional Prototype2025

Core features are engineered and demonstrable. Not yet production-hardened or deployed to real users.

Demonstrated

  • Functional prototype: configuration, procedural 3D, pricing, and ordering flow run today
  • Geometry tests cover the generated model space

11What comes next

Where this goes from here

  1. 01Broaden materials and optional features with matching procedural support
  2. 02Connect ordering to production-friendly spec exports
  3. 03Reinforce geometry testing against edge configurations