Atelier Glass

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  Fashion out of AI SDD

Inspiration

Atelier Glass is built on a shift: Fashion is not a product—it is a system of structured creation. Instead of treating design as output, the project models it as a stepwise cognitive pipeline, inspired by SSD (Structured Software Design) workflows, where each step refines ambiguity into form.

What it does

Atelier Glass is a fashion design e-commerce gallery (payment-ready in future) powered by an AI-guided SSD workflow.

It transforms idea → product through: /onboard → /scope → /prd → /spec → /checklist → /build → /iterate → /reflect

Platform layers: Collections — finalized designs (primary purchasable units in future) Couture Lab — experimental / AI-assisted pieces Material Studies — fabric & texture exploration Archive — past iterations and evolution

User flow: Idea→Structured Design→Artifact→(Future) Commerce

How we built it

The system combines SSD methodology + AI-assisted generation:

1. Structured Pipeline Each design follows: /onboard — initialize concept /scope — define boundaries /prd — design intent /spec — technical structure /checklist — validation logic /build — generate artifacts /iterate — refine (optional) /reflect — archive + learn
2. System Architecture Modular content system (design stages as data layers) AI for controlled generation (not free-form randomness) Minimal UI aligned with studio/gallery experience Designed for future payment integration

Challenges we ran into

Mapping a software design pipeline to a fashion UX Avoiding collapse into traditional e-commerce patterns: SSD Flow IS NOT Browse→Cart Maintaining coherence across multiple abstraction layers Ensuring AI outputs remain deterministic within structure

Accomplishments that we're proud of

ranslated SSD workflow into a creative fashion system Built a pipeline-driven design platform, not just a gallery Unified: AI generation structured design thinking fashion presentation Established a foundation for design-to-commerce transition

What we learned

• Structure amplifies creativity:
• AI performs best inside defined pipelines
• Users can engage with process, not just results
• Design systems can mirror software architecture ## What's next for Atelier Glass
• Add payment integration to connect output → commerce
• Enable user-driven SSD pipelines (design their own pieces)
• Introduce AI co-creation loops during /iterate
• Expand Archive into a versioned design graph

Built With

• admin
• google-cloud
• next.js
• oauth
• postgresql
• security
• supabase
• tailwind-css
• typescript
• vercel