Building for efficiency
A second brain approach combining Notion databases and memory.json knowledge graph for effective project management across multiple domains. I design hybrid systems that blend AI capabilities with traditional workflows.
My Skills
Product Strategy
Roadmapping, A/B Testing, Project Management, and Strategic Planning for complex product ecosystems.
Product Design
User Stories, User Flows, Wireframes, Persona Development, and UI/UX Implementation.
Market & User Research
Market Analysis, Experiment Design, Usability Testing, and Competitive Analysis.
AI Integration
LLM Implementation, Knowledge Graph Design, Hybrid AI/Human Systems, and Token Optimization.
Featured Projects
Hybrid PM Implementation
A comprehensive project management system that combines Notion databases with memory.json knowledge graph for enhanced project tracking and context awareness.
View ProjectMemory Visualization System
Interactive 3D visualization of a knowledge graph that enables intuitive exploration of entity relationships and system components.
View ProjectFallback OpenAI Client
Resilient AI system that automatically switches between service providers during outages, with 36% token optimization and confidence scoring framework.
View ProjectSystem Architecture
Notion Integration
The system utilizes Notion databases for detailed project tracking, task management, and sprint organization. Key components include Projects, Tasks, and Sprints databases with bidirectional relationships.
Knowledge Graph
memory.json provides a flexible knowledge graph architecture for storing entity relationships, observations, and quick-access context. This component enables advanced query capabilities and context-aware filtering.
WOW Sprint Review
The Week of Work (WOW) Sprint Review system enables consistent assessment of sprint progress across multiple projects. It follows the rule of always reviewing the latest sprint before resuming work on any project.
Sprints Management
The system implements a cross-project sprint approach where tasks from different projects can be grouped into common sprints. This enables efficient management of multiple projects simultaneously.
Sprint 1: Project Setup
- Project creation in Notion
- memory.json server setup
- Entity mapping implementation
- CRUD operations testing
Sprint 2: Notion Enhancement
- Kanban view implementation
- Calendar view configuration
- Enhanced table view
- Custom filtered views
Sprint 2: Memory Structure
- Entity schema design
- Relationship mapping
- Observation standardization
- Naming conventions
Sprint 3: Visual Improvements
- Template management
- Visual element standards
- Chat context solution
- MCP research
Sprint 4: MCP Implementation
- Model Context Protocol
- External integrations
- Advanced queries
- System productization
Sprint Database Implementation
Cross-Project Capabilities
The Sprint Database allows tasks from different projects to be organized into common sprints, enabling efficient management of parallel work streams.
Bidirectional Relationships
Established relationships: Project:Task (One:Many), Sprint:Task (One:Many), Project:Sprint (Many:Many) for complete traceability.
WOW Review Process
Structured approach to reviewing sprints with standardized templates and assessment criteria. Always reviews latest sprint before resuming work.
Upsonic Fallback System
Our resilient AI-powered fallback system automatically switches between service providers when one becomes unavailable, ensuring continuous operation of the PM system.
36% Token Optimization
By implementing token-aware architecture at the system level, we achieved a 36% reduction in token usage while maintaining response quality, resulting in faster responses and lower costs.
Confidence Scoring System
A 0.0-1.0 scale confidence scoring framework evaluates reliability across tools, processes, and tasks, providing crucial metrics for prioritizing fallback triggers and system improvements.
Automatic Service Switching
The system continuously monitors service availability and automatically routes requests to alternative providers when needed, ensuring zero downtime operation even during cloud provider outages.
Implementation Details
Sequential Thinking Approach
Complex implementation challenges were broken down using a structured sequential thinking methodology, enabling systematic problem-solving even for difficult integration issues.
Model Mapping
Intelligent mapping between different service providers ensures consistent response formatting regardless of which backend is handling the request.
Rapid Debugging
A streamlined diagnostic pipeline quickly identifies and resolves potential issues like missing API credentials before they can cause cascading failures in the system.
Project Progress
Overall Progress 42%
Sprint 1: Project Setup 100%
Sprint 2: Notion Enhancement 65%
Sprint 2: Memory Structure 70%
Sprint 3: Visual Improvements 15%
Recent Achievements
Upsonic Fallback System
Successfully implemented a resilient fallback system using the Upsonic framework, enabling automatic service switching and achieving 36% token usage reduction through optimization.
Sequential Thinking Tools
Integrated MCP sequential thinking tools for enhanced problem-solving capabilities, providing structured approaches to complex implementation challenges.
Confidence Scoring Framework
Developed a 0.0-1.0 scale confidence scoring system to evaluate reliability across tools, processes, and tasks, providing crucial metrics for system improvements.
Next Steps
Layer 2 Memory with Notion
Implementing an enhanced Layer 2 memory system using Notion as a structured database layer on top of memory.json, creating a dual-layer architecture for improved memory management.
Sprint Process Enhancements
Improving the sprint review process with automated metrics collection and performance analysis using our confidence scoring framework to identify optimization opportunities.
Upsonic Testing Framework
Developing a comprehensive testing framework for the Upsonic fallback system to ensure reliability through simulated service disruptions and edge case handling.
Layer 2 Memory Architecture
The Layer 2 Memory system enhances our knowledge graph with structured database capabilities, creating a dual-layer architecture for optimized memory management.
Layer 1: Knowledge Graph
The memory.json system forms our foundational layer, providing flexible entity relationships, observations storage, and a comprehensive priority classification system for knowledge evaluation.
Layer 2: Structured Database
Notion workspace provides structured database capabilities with Projects, Tasks, and Sprints databases, along with our WOW Sprint Review system for consistent assessment and tracking.
Bidirectional Sync
The sync layer ensures changes in either system are properly reflected across both layers, maintaining consistency while leveraging the strengths of each platform.
Key Benefits
Enhanced Context Persistence
By distributing memory across two complementary systems, we achieve better context persistence across conversations and sessions, addressing the chat context limit challenge.
Optimized Query Performance
The dual-layer approach allows for optimized queries - using memory.json for relationship-focused lookups and Notion for structured, property-based filtering and sorting.
Fallback Reliability
With critical information stored in both systems, the architecture provides natural fallback capabilities if either system experiences temporary availability issues.