CASE STUDY · PROMPT CLOSET

Building an AI-Powered Personal Stylist

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THE PROBLEM

What needed to change

Deciding what to wear can be surprisingly time-consuming. The challenge isn't finding outfit inspiration — it's figuring out what works for the occasion using the clothes you already own.

WHAT I DID

From ambiguity to a plan

I took the product from idea to launch independently — defining the user experience, designing the AI workflow, selecting the technical approach, and building the working product.

THE SOLUTION

Turning the plan into something real

I built Prompt Closet, an AI-powered personal stylist that uses Claude for reasoning and CLIP embeddings to understand wardrobe items and generate personalized outfit recommendations. The experience brings together the user's wardrobe and context to suggest relevant outfit combinations.

IMPACT
0 → 1

Took an AI product from concept to a publicly launched, working application, combining product thinking with hands-on AI implementation.

TOOLS & CAPABILITIES
Claude APICLIP EmbeddingsAI/LLM IntegrationProduct DesignPrompt EngineeringSemantic SearchEnd-to-End Product Development
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