AI Skincare Assistant Blog

Philosophy: We currently live in the dead internet, meaning most content is bot activity and AI generated to preform for algorithms. To counteract this, I want to help empowered by honesty and factual information.

My why: I am specifically passionate about science education and misinformation. Combining this with my interest about skin care I formulations, led me to designing an AI Assistant for the everyday user.

Glow Getter 7/8/25 Glow Getter 7/8/25

Creating an Early Prototype in Figma

I built a rough prototype to show how the AI’s logic might feel in a real life. It also gave me a visual example that makes the experience tangible for collaborators.

Glow Getter 6/24/25 Glow Getter 6/24/25

Designing the AI Skincare Assistant: Building the Proof of Concept

Used structured ingredient data and strict prompt rules to build an AI skincare assistant, tested on 50 real-world queries for accuracy and logic.

Glow Getter 4/29/25 Glow Getter 4/29/25

Can AI Explain Your Moisturizer? Ours Can, Almost…

How I am using ChatGPT to prototype UX, prompt flows, and schema logic before training our own model.

Glow Getter 3/27/25 Glow Getter 3/27/25

The AI Brain Behind Ingredient Transparency

I’m leading UX content strategy and system design, while Keon architects the GenAI backend, merging structured data pipelines with LLM outputs.

Glow Getter 3/27/25 Glow Getter 3/27/25

Building a Science-First Ingredient Interpreter

Skincare Ingredients are complex. We’re building a science-first conversational AI that turns ingredient lists into clear, trustworthy explanations without fear-mongering