## Inspiration
Skincare shouldn't feel like guesswork.
Millions of people struggle to understand their skin, choose the right products, and build routines that actually work. Most advice online is generic, trend-driven, or difficult to trust, while professional consultations aren't always affordable or accessible.
We built Mirha & Co to make personalized skincare available to everyone through AI. Our goal is to help people understand their skin, make informed decisions, and build healthier skincare habits. We also wanted to provide beauty brands and clinics with an AI platform that enables truly personalized customer experiences.
## What it does
Mirha & Co is an AI-powered skincare companion that helps users make smarter skincare decisions.
Users can:
- Analyze their skin with AI
- Receive personalized skincare recommendations
- Generate customized morning and evening routines
- Track their skincare journey through journals and progress reports
- Learn why specific ingredients and products are recommended
- Discover products suited to their unique skin profile
For businesses, Mirha & Co offers a B2B platform that enables beauty brands and clinics to provide AI-powered skincare recommendations and personalized customer experiences.
## How we built it
Mirha & Co is built using Next.js, TypeScript, Tailwind CSS, Supabase, and PostgreSQL.
For OpenAI Build Week, we significantly extended the project using GPT-5.6 and Codex.
GPT-5.6 powers personalized skincare conversations, intelligent routine generation, ingredient explanations, and recommendation logic, making the experience feel like talking to a personal skincare advisor.
Codex became an essential development partner throughout the project. We used it to implement new features, refactor components, optimize APIs, improve TypeScript code quality, debug issues, and rapidly iterate on ideas. This allowed us to spend more time improving the product experience rather than repetitive implementation work.
## Challenges we ran into
One of the biggest challenges was balancing personalization with reliability. AI-generated skincare advice needs to be easy to understand while remaining responsible and practical.
We also had to design prompts that produce structured, consistent outputs instead of generic responses. Integrating new AI capabilities into an existing production application while maintaining performance, usability, and a polished user experience required several iterations.
Another challenge was creating a conversational experience that explains recommendations instead of simply listing products, helping users understand why a routine is appropriate for their skin.
## Accomplishments that we're proud of
- Built an AI-powered skincare companion that delivers personalized experiences.
- Successfully integrated GPT-5.6 into a real-world consumer application.
- Used Codex extensively to accelerate development and improve code quality.
- Created an intuitive experience that combines skin analysis, routines, progress tracking, and AI guidance in one platform.
- Built a foundation that serves both consumers and beauty businesses through a shared AI platform.
## What we learned
Building AI products isn't just about connecting an LLM to an application.
We learned that trust, transparency, and user experience are just as important as model capability. Thoughtful prompt engineering, structured outputs, and clear explanations make AI recommendations significantly more valuable.
Using Codex transformed our development workflow by reducing implementation time, helping us refactor confidently, and enabling faster experimentation with new ideas.
## What's next for mirhaandco.com
Our vision is to become the AI operating system for personalized skincare.
Next, we plan to build:
- AI-powered long-term skin progress tracking
- Before-and-after skin comparison
- Smarter conversational skincare coaching
- Multi-language support
- Lifestyle and environmental personalization
- AI-powered insights for beauty brands and clinics
- Deeper analytics to help businesses understand customer skincare trends while respecting user privacy
We're excited to continue building an AI platform that makes personalized skincare more accessible, understandable, and effective for everyone.
Built With
- ai
- api
- b2b
- codex
- css
- css3
- engineering
- gpt-5.6
- html5
- javascript
- llm
- next.js
- node.js
- openai
- postgresql
- prisma
- prompt
- react
- rest
- saas
- supabase
- tailwind
- typescript
- vercel

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