Feature Development Priorities
MVP Core
Simple inspiration discovery with basic AI assistance
Phase 2
Dynamic personalization engine and user preference learning
Phase 3
Advanced connection-making and non-linear interaction features
Phase 4
Enterprise integrations and API/plugin ecosystem
Phased Implementation Timeline
1
Validation Phase
3-6 months
Partner with Shenkar for user research and validation
Develop functional prototype with basic inspiration gathering
Test human-centric AI interaction paradigm with design students
2
MVP Launch
6-12 months
Recruit technical co-founder/CTO with required AI/ML expertise
Build scalable infrastructure for content processing
Launch beta with design education market
3
Market Expansion
12-18 months
Develop enterprise features and integrations
Establish creative industry publication partnerships
Scale to broader creative professional market
Key Success Factors
Securing Technical Leadership
Bridge execution gap with AI/ML expertise
Human-Empowerment Focus
Maintain core philosophy while scaling AI capabilities
Market Expansion
Expand beyond design education to commercial markets
Partnership Validation
Validate requirements through existing partnerships
Critical Risks
Technical Complexity
Complex requirements may overwhelm available resources
Market Education Requirements
User education needs may slow adoption
Platform Competition
Established platforms may add similar AI features
Immediate Next Steps
Immediate
Technical Recruitment
Define technical co-founder requirements and begin recruitment process with AI/ML expertise focus
Short-term
Partnership Formalization
Formalize Shenkar partnership for validation studies and user research programs
Medium-term
Business Model Clarity
Develop business model clarity beyond philosophical concepts into actionable revenue streams
Long-term
Distribution Strategy
Build broader commercial distribution channel strategy beyond design education focus