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Clad
AI personal color service
Upload a photo to receive an AI-assisted personal color analysis, a tailored palette, and beauty recommendations.
A one-person studio that builds and operates services
Ideas into services people want to use.
LumX defines the problem and scope of an idea, designs its experience and system, and turns it into a service people can actually use.
Service archive
Services I build and operate.
These are services LumX operates or validates in public. Each record shows the evidence that shaped its starting point.
Clad, 1 / 3
From the field
Notes from the work
Notes on the decisions made and lessons learned while building products.
Build Notes4 min read
What I Gain by Building Clad in Public
Sharing Clad is not about performing progress. It exposes product decisions and analysis limits, turning specific reactions into better changes.
Product4 min read
Why I Built Clad—and Where the Product Stops
Clad does not replace an expert or claim certainty from one photo. It gives curious users an understandable first analysis and a practical palette.
Product5 min read
Designing the Experience Around Clad's Analysis Model
A model can predict a color season, but photo quality, result explanation, and recommendation logic determine whether someone can trust and use the result.
Studio4 min read
Why I'm Building LumX
LumX keeps the products I build, operate, or validate, the path from planning to the next decision, and lessons found in the field in one product archive.
Product definition and UXSoftware and AI systemsCloud deployment and operation
The person behind LumX
Product engineer Taekhwan Kim directly operates LumX's services and archive.
Product definition and UXSoftware and AI systemsCloud deployment and operation
I want to show the decisions behind a product, not only its finished screens.
I use experience across software, cloud, and AI to plan and operate LumX products directly.
Decisions and lessons from Clad, somesignal, and DUGOUT 9 feed the next improvement.
Build products directly
Connect planning, user experience, implementation, and operation inside a real product.
Apply field experience
Use software, AI, and cloud experience in proportion to the product's current problem and risk.
Keep decisions in writing
Publish why a choice was made and how the thinking changed after meeting real use.
Services, feedback, and notes
Try a service or public demo and leave evidence for its next version.
Explore the services, read the notes, or tell us about an idea worth building together.