Vibe Product Design Sessions
Define your architecture, stack, and roadmap — before writing a single line of code.
A strategic session where we make the technical and product decisions that are hardest to reverse. You leave with a complete product requirements document, architecture diagram, and a build plan your team can execute — not a slide deck, but an actionable blueprint.
How It Works
You describe the business problem
What are you building? Who is it for? What does success look like? We define the product scope, target audience, and key constraints.
We map the architecture together
User flows, data models, API contracts, and platform targets. We resolve the stack questions: Supabase vs Firebase, Vertex AI vs Google AI Studio, web vs mobile vs both.
AI accelerates the research
Claude structures the brief and evaluates technical trade-offs. Google AI Studio stress-tests AI feature concepts with real Gemini API calls. We validate assumptions before committing to them.
You leave with an executable plan
A PRD, architecture diagram, stack decisions, and a phased build plan — documented and ready for your team to start building.
What You Get
- Product Requirements Document (PRD)
- Architecture diagram with data model
- Stack selection with trade-off analysis
- API contract definitions
- Phased build plan with milestones
- Session recording and decision log
Our Stack
Claude Code
Structures the product brief, evaluates architectural trade-offs, and generates documentation — PRDs, API contracts, and technical specifications from the session discussion.
Google AI Studio
Live prototyping of AI features during the session. Test Gemini prompts, evaluate model responses, and validate whether AI capabilities are feasible before committing them to the roadmap.
Supabase
Recommended when you need relational queries (Postgres), AI-native vector search (pgvector), row-level security, or the deepest Claude Code MCP integration. Best for web-first products and SaaS.
Firebase
Recommended when you need real-time data sync (Firestore), mobile push notifications (FCM), and plug-and-play mobile Auth. Best for mobile-first products and real-time apps.
Vertex AI
Production AI inference with enterprise SLAs. Recommended when your product needs AI features in production — not just prototyping.
Kotlin Multiplatform
Evaluated when the product targets Android + iOS + Web. One Kotlin codebase for shared business logic, with Compose Multiplatform for shared UI.
Ideal For
- Founders before their first engineering hire
- CTOs evaluating a new product direction
- Teams planning a platform migration
- Companies deciding whether to build, buy, or integrate AI
Session Formats
Private
1:1 Vibe Sprint — idea to deployed product in 4 hours
Group
Up to 8 participants — ideal for team sprints
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