NGMI Resource & Implementation Plan
1. Technical Resource Requirements​
1.1 NGMI 2.0 Development Resources​
NGMI 2.0 adopts a lean, bootstrapped approach focusing on core swipe functionality, market mechanisms, and blockchain integration without AR components:
Core Technical Infrastructure​
| Resource Type | Purpose | Implementation Approach |
|---|---|---|
| Development Tooling | AI-assisted development, code generation | Claude API, GitHub Copilot, specialized ML tools |
| Decentralized Infrastructure | Multi-region nodes, EVM-compatible services | Dedicated OVHcloud AMD EPYC servers, regional distribution |
| Testing Hardware | Multi-device compatibility verification | 10-15 devices across iOS/Android ecosystem |
| Software Licenses | Development environments, specialized tools | Enterprise IDE licenses, monitoring tools |
Human Resources Strategy​
NGMI 2.0 employs a strategic "expert core + specialist contractors" model:
- Core Developer: Single full-stack developer serving as technical architect and lead implementer
- Contract Specialists: Short-term experts for targeted implementations with maintenance agreements
- Technical Advisors: Network of consultants providing specialized guidance at critical junctures
This approach enables the core team to maintain control over the fundamental architecture while leveraging specialized expertise for complex components, significantly reducing overhead compared to traditional development teams.
1.2 NGMI 3.0-3.5 Expanded Resource Requirements​
The progression from NGMI 3.0 POC to full 3.5 implementation requires specialized expertise in AR integration and computer vision:
AR Development Components​
| Component | Resource Type | Implementation Strategy |
|---|---|---|
| AR Core Development | AR Specialist (160 hours) | Contract-based with maintenance agreement |
| Sensor Fusion | Mobile Dev (120 hours) | Specialized expertise in device sensor integration |
| Computer Vision | ML Engineer (100 hours) | Advanced object recognition and movement analysis |
| Spatial Tracking | AR Specialist (80 hours) | SLAM implementation for environmental tracking |
| Anti-Fraud System | Security Expert (60 hours) | Manipulation detection and prevention |
| 3D Visualization | 3D Designer (40 hours) | Interactive AR elements and feedback systems |
| System Integration | Core Developer (120 hours) | Integration with existing NGMI platform |
Infrastructure Expansion​
Scaling from POC to full 3.5 implementation requires expanded decentralized infrastructure:
- Enhanced Server Cluster: Additional high-performance OVHcloud Advance AMD EPYC servers
- ML Processing Nodes: Specialized computation units for verification processing
- Distributed Storage: Expanded capacity for verification evidence and challenge data
- Additional Regional Presence: Geographic expansion to minimize latency globally
- Expanded Testing Devices: LiDAR-equipped iPhones, AR-capable Android devices, potential AR glasses
2. Development Methodology​
2.1 Bootstrapped Innovation Strategy​
NGMI employs a "smart bootstrapping" approach that maximizes output while minimizing resource requirements:
- AI-Augmented Development: Using advanced language models for code generation, testing, and documentation
- Decentralized-First Architecture: Building on distributed systems with no single points of failure
- Feature Prioritization Matrix: Data-driven decisions on which features deliver maximum value
- Continuous Validation: Rapid prototyping and user testing before committing to full implementation
- Open-Source Leverage: Strategic use of mature open-source components to reduce development overhead
2.2 Development Phases & Resource Allocation​
| Phase | Duration | Core Resources | Specialized Resources | Deliverables |
|---|---|---|---|---|
| NGMI 2.0 Phase 1 | 2 months | Core Developer | Contract Frontend Specialist | Multi-dimensional modes, any.bid integration |
| NGMI 2.0 Phase 2 | 2 months | Core Developer | Smart Contract Specialist | Market mechanics, Assets domain |
| NGMI 2.0 Phase 3 | 2 months | Core Developer | QA & Security Specialist | Testing, optimization, public launch |
| NGMI 3.0 POC | 3 months | Core Developer | AR Specialist, ML Engineer | AR verification prototype, technical validation |
| NGMI 3.5 Phase 1 | 4 months | Expanded Core Team | Computer Vision Expert, 3D Designer | AR Foundation, base verification system |
| NGMI 3.5 Phase 2 | 4 months | Expanded Core Team | Security Expert, UX Specialist | Advanced verification, anti-fraud systems |
| NGMI 3.5 Phase 3 | 4 months | Expanded Core Team | Integration Specialist, Performance Engineer | System integration, testing, optimization |
2.3 Resource Scaling Strategy​
NGMI employs a deliberate scaling approach that adds resources only when validated by market traction:
- 2.0 (Bootstrap): Minimal core team with specialized contractors
- 3.0 (POC): Core team plus limited specialists for validation
- 3.5 (Full Implementation): Expanded core team with specialized experts
This graduated resource allocation ensures capital efficiency while maintaining development quality.
3. Technical Infrastructure Requirements​
3.1 Decentralized Infrastructure​
NGMI 2.0 Infrastructure​
| Component | Specifications | Purpose |
|---|---|---|
| Frontend Deployment | Vercel Enterprise | Global edge deployment for Next.js frontend with Fluid Compute |
| Backend Cluster | 3x OVHcloud AMD EPYC 4344P (8c/16t, 5.3GHz) | Dedicated server cluster with N+1 redundancy |
| Memory Configuration | 128GB DDR5 ECC On-Die per server | Blockchain operation security, cache efficiency |
| Storage | 4 x 7.68TB SSD NVMe in configurable RAID | High-performance storage for blockchain data and applications |
| Network | 5Gbps public, 25Gbps private guaranteed bandwidth | Efficient global access and inter-service communication |
| Regional Distribution | 3 global regions with independent clusters | Singapore (APAC), Frankfurt (EU), Virginia (US East) |
| Blockchain Nodes | EVM-compatible nodes in each region | Market operations, transaction processing |
NGMI 3.5 Infrastructure Expansion​
| Component | Specifications | Purpose |
|---|---|---|
| ML Processing Nodes | Additional servers with optimized processing capabilities | Verification processing, ML inference for movement analysis |
| Geographic Expansion | Additional regions (Tokyo, São Paulo, Mumbai) | Reduced latency for global users, regional legal compliance |
| Enhanced Security Layer | Distributed defense mechanisms | Protection against attack vectors, verification integrity |
| Distributed Storage Expansion | Additional capacity, distributed architecture | Evidence storage, challenge data, verification records |
| Redundancy Enhancements | N+2 critical path components | Increased uptime and reliability for critical markets |
3.2 Frontend Deployment Strategy​
NGMI leverages Vercel's enterprise capabilities for optimal global frontend delivery:
Strategic Configuration:
- Fluid Compute: Enabled for automatic concurrency management and optimal resource allocation
- Function Regions: Global coverage across North America, Europe, and Asia Pacific (Singapore)
- Function CPU: Performance tier (1.7 vCPUs/3GB) for mission-critical functions
- Edge Functions: Authentication and data validation at the edge, reducing latency by 40-60%
- Middleware Integration: Security and compliance requirements handled at edge
Technical Advantages:
- Global Performance Optimization: Consistent sub-100ms latency for users worldwide
- Intelligent Scaling: Automatic resource adjustment based on demand patterns
- Enterprise Reliability: Zero single points of failure with redundant deployments
3.3 Development Environment​
NGMI maintains a sophisticated development environment that enables rapid iteration:
- Decentralized CI/CD Pipeline: Automated testing and deployment across the distributed infrastructure
- Environment Isolation: Development, staging, and production separation
- Feature Flag System: Controlled feature rollout and testing
- Distributed Monitoring: Comprehensive system health tracking across all nodes
- Development Tools: Advanced IDEs, debugging tools, and performance analyzers
4. Implementation Strategy for NGMI 3.5​
4.1 From POC to Full Implementation​
The transformation from 3.0 POC to 3.5 full implementation requires strategic execution:
-
Foundation Phase (Months 1-4):
- Core AR verification for Level 1-2 challenges
- Self Domain basic functionality
- Challenge definition framework
- Simple prediction markets
- Basic anti-cheat measures
-
Enhancement Phase (Months 5-8):
- Computer vision for Level 3 challenges
- Social Domain core functionality
- Enhanced anti-cheat system
- Expanded prediction markets
- Challenge discovery algorithm
-
Advanced Implementation (Months 9-12):
- Sophisticated AR verification for Level 4-5 challenges
- Complete Social Domain features
- Comprehensive anti-cheat framework
- Advanced prediction market mechanisms
- Creator ecosystem tools
4.2 Key Personnel Requirements​
NGMI 3.5 requires specialized expertise across several domains:
- AR/VR Specialists (2-3): Core AR implementation and optimization
- Mobile Developers (3-4): Cross-platform implementation and sensor integration
- Machine Learning Engineers (2): Movement recognition, form analysis, verification
- Backend Engineers (2-3): Scalable systems, blockchain integration, data processing
- Security Specialists (1-2): Anti-fraud systems, verification integrity, secure transactions
- UX/UI Designers (2): AR interfaces, interaction design, feedback systems
- QA Engineers (2): Verification testing, device compatibility, performance validation
This team represents the expanded resource requirements for full 3.5 implementation, contrasting with the minimal team needed for 2.0 development.
4.3 Technical Challenges & Specialized Resources​
| Challenge Area | Required Expertise | Implementation Approach |
|---|---|---|
| Device Heterogeneity | Cross-platform development | Dynamic quality settings, device-specific optimizations |
| Environmental Variability | Computer vision, environmental assessment | Adaptive challenge parameters, context-aware verification |
| Battery & Performance | Mobile optimization, efficiency engineering | Sensor duty cycling, processing optimization |
| Anti-Fraud Systems | Security engineering, anomaly detection | Multi-factor verification, statistical analysis |
| AR Interface Design | AR UX specialization | Minimalist visual design, essential feedback elements |
Each challenge area requires specialized expertise that will be strategically incorporated through the expert network and focused contracting.
5. Long-Term Sustainability Model​
5.1 Ongoing Operational Requirements​
Maintaining NGMI 3.5 after launch requires sustainable resource allocation:
| Operational Area | Resource Requirements | Optimization Strategy |
|---|---|---|
| Infrastructure Maintenance | Server management, network operations | Automation, monitoring, predictive maintenance |
| Development Pipeline | Ongoing feature development, bug fixes | Sprint-based development, prioritization framework |
| Security Operations | Continuous monitoring, threat response | Automated scanning, security information management |
| Community Management | User support, governance facilitation | Community-led initiatives, automated self-service |
| Content Moderation | Challenge verification, dispute resolution | Tiered approach with automation and human review |
5.2 Revenue-Driven Scaling​
NGMI's infrastructure and human resource scaling follows a revenue-driven approach:
- Base Infrastructure: Maintained from initial revenues
- Geographic Expansion: Funded by regional revenue growth
- Feature Development: Prioritized based on ROI analysis
- Team Expansion: Tied directly to revenue milestones
This sustainable approach ensures operational stability while allowing for growth based on actual market performance.
6. Risk Mitigation Strategies​
6.1 Technical Risk Management​
| Risk Category | Mitigation Approach | Resource Implications |
|---|---|---|
| Infrastructure Failure | Multi-region redundancy, graceful degradation | Increased infrastructure costs offset by reliability |
| Security Breaches | Penetration testing, continuous monitoring | Dedicated security expertise and tooling |
| Verification Accuracy | Multi-factor verification, confidence ratings | ML engineering resources, verification refinement |
| Scaling Challenges | Load testing, performance modeling | Performance engineering, architecture optimization |
| Regulatory Compliance | Regional adaptation, compliance monitoring | Legal expertise, geographical isolation capabilities |
6.2 Resource Contingency Planning​
NGMI's resource plan includes contingency measures:
- Critical Skill Redundancy: Multiple team members with overlapping critical capabilities
- Infrastructure Backup: Ready-to-deploy backup configurations
- Alternative Supply Chains: Multiple vendors for essential components
- Flexible Scaling: Ability to scale resources up or down based on market conditions
- Emergency Fund: Reserved resources for unexpected technical challenges
7. Conclusion​
The NGMI Resource & Implementation Plan outlines a strategic approach to building a sophisticated platform while maximizing resource efficiency. By leveraging decentralized infrastructure, smart bootstrapping techniques, and staged resource allocation, NGMI can deliver a revolutionary product while maintaining lean operations.
The transition from NGMI 3.0 POC to full 3.5 implementation represents a significant scaling of resources, but this expansion is structured to follow market validation and revenue generation. This approach balances ambition with pragmatism, ensuring sustainable growth and technical excellence throughout the platform's evolution.
Through strategic contracting, specialized expertise, and the innovative use of AI development tools, NGMI can achieve development outputs typically associated with much larger teams while maintaining the agility and focus of a smaller organization.
This document outlines NGMI's resource requirements and implementation strategy. It is intended for planning purposes and may be adjusted based on market conditions and technical developments.