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Your customers don't need to hesitate to order your makeup/cosmetic products online. They can upload a picture of their face to your website and see firsthand how the products will look on their skin. This helps increase your sales.
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Connect with clients, get discovered, and run your business 100% commission-free
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The skincare industry has a trust problem.
89% of skincare brands look identical online.
Generic white backgrounds.
Vague promises like "better skin."
Zero personality.
A skincare brand came to me with this exact problem:
"We have great products. But our website looks like everyone else's."
The challenge:
→ Stand out in a saturated market
→ Appeal to different customer segments
→ Build immediate trust
→ Convert browsers to buyers
The solution:
Instead of ONE generic design, we created FOUR brand personalities:
Version 1 (Blue): Clean, clinical trust
Version 2 (Coral): Warm, nurturing care
Version 3 (Green): Natural, ingredient-focused
Version 4 (Yellow): Energetic, lifestyle-driven
Same brand. Different emotional triggers.
Why this works:
Your audience isn't one person.
Your website shouldn't speak to just one mood.
Some customers want clinical trust.
Some want warm connection.
Some want natural ingredients.
Some want lifestyle energy.
The result:
A/B testing showed Version 2 (coral) converted 3.4x better for their core audience.
But they kept all 4 variations live for different campaigns.
The lesson for skincare/wellness brands:
Stop trying to be everything in one design.
Create multiple brand expressions.
Test which resonates.
Double down on what converts.
Built in Framer for fast iteration.
Swipe to see all 4 variations →
Is your brand stuck looking like everyone else?
Comment "BRAND" - I'll send you the differentiation framework.
i love variant 1 tho.
blend well with the product
AI demos are easy.
Production AI is where engineering begins.
Anyone can connect an LLM API and make something that looks impressive in a demo.
But real businesses need systems that survive messy users, bad inputs, edge cases, and scale.
Production AI means:
✅ Grounded retrieval (RAG)
✅ Reliable tool/API execution
✅ Structured outputs
✅ Agent workflows with business logic
✅ Monitoring, evals, and feedback loops
✅ Infrastructure that scales in production
The difference between an AI demo and an AI product?
Architecture.
That’s where most “AI startups” break.
I build AI systems that go beyond prompt wrappers — production-ready LLM agents, RAG pipelines, and full-stack AI products.
If you're building something real, build it like software.
#AIEngineering #LLMAgents #RAG #GenerativeAI #LangChain #LangGraph #OpenAI #ClaudeAI #Python #FastAPI #AWS #VectorDatabase #AIProduct #SaaS #ArtificialIntelligence #Contra #FreelanceDeveloper #AIConsultant
This is amazing
Famme is a skincare-focused ecommerce brand looking to improve its online presentation and customer shopping experience through a cleaner, more conversion-focused digital design.
The project began with the goal of refining the brand’s visual identity while creating a smoother experience for customers interacting with the store and products online.
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