Project Vision
MALENIO will transform Gmail users’ ability to manage and discover email patterns through intelligent, privacy-preserving AI that operates locally using Ollama. By providing smart auto-tagging, pattern recognition, and organizational capabilities, MALENIO will reduce email management time while improving information retrieval and workflow integration.
Core Problem
Email overload and inefficient categorization lead to:
- Information buried in overflowing inboxes
- Inconsistent manual tagging practices
- Privacy concerns with cloud-based AI email analysis
- Time wasted on email organization and retrieval
- Difficulty identifying important patterns in communication
MALENIO addresses these challenges by providing intelligent, local-AI powered organization that learns from user behavior while preserving privacy.
Project Goals
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Primary Goal: Create a Chrome extension that enhances Gmail management through AI-powered auto-tagging and pattern recognition using local Ollama models.
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Secondary Goals:
- Improve email discovery and retrieval speed by 50%+
- Reduce manual tagging and organization time by 75%
- Maintain complete privacy by processing all data locally
- Enable users to discover valuable insights and patterns in their emails
- Provide a seamless, intuitive extension of Gmail’s native interface
Project Scope
In Scope
- Chrome extension development for Gmail
- Local AI integration with Ollama
- Email analysis and auto-tagging capabilities
- Pattern recognition and insight generation
- User-controlled tagging system with AI suggestions
- Gmail UI integration and enhancement
- Local data storage and processing
Out of Scope (Initial Release)
- Support for email clients other than Gmail
- Browsers other than Chrome/Chromium
- Mobile application
- Cloud-based processing options
- Email content generation or automatic replies
- Calendar or task integration
- Offline capability when Ollama isn’t running
Target Users
Primary Users
- Knowledge Workers: Professionals managing high email volumes who need better organization
- Privacy-Conscious Individuals: Users concerned about AI services analyzing their emails
- Gmail Power Users: People who heavily use Gmail and want enhanced functionality
- AI Enthusiasts: Users interested in applying local AI models to productivity tools
User Needs
- Efficiently categorize and retrieve emails
- Discover patterns and insights in communication
- Maintain privacy while leveraging AI capabilities
- Reduce time spent on manual email organization
- Access a solution that works within their existing Gmail workflow
Key Features and Capabilities
- Intelligent Auto-Tagging
- AI-suggested tags based on email content and context
- Learning from user tagging behavior
- Consistent taxonomy enforcement
- Pattern Recognition
- Identification of communication patterns
- Highlighting of important trends
- Visualization of email analytics
- Local AI Processing
- Integration with Ollama for local model inference
- No email content sent to external services
- Model selection based on user hardware capabilities
- Seamless Gmail Integration
- Native-feeling UI extensions
- Keyboard shortcuts and workflow enhancements
- Gmail search integration with tags
- User Control and Transparency
- Explanations for AI suggestions
- Override capabilities for all automated actions
- Progressive learning from user corrections
Success Metrics
Quantitative Metrics
- User adoption and retention rates
- Time saved in email management (user-reported)
- Tag utilization and consistency
- Search time reduction
- Feature engagement rates
Qualitative Metrics
- User satisfaction with auto-tagging accuracy
- Perceived value of pattern recognition
- Comfort with privacy aspects
- Integration quality with existing workflow
- Net Promoter Score (NPS)
Constraints and Assumptions
Constraints
- Local AI performance limited by user hardware
- Chrome extension capabilities and security model
- Gmail API limitations and changes
- Ollama model availability and performance
Assumptions
- Users will have Ollama installed and configured
- Target users primarily manage email through Gmail web interface
- Users are willing to grant necessary permissions to the extension
- Local processing will be sufficiently fast on average hardware
- Gmail’s interface will remain relatively stable
Project Timeline (Preliminary)
- Research & Definition: 4 weeks
- Design & Prototyping: 6 weeks
- Development Phase 1 (Core functionality): 8 weeks
- Alpha Testing: 2 weeks
- Development Phase 2 (Refinement): 4 weeks
- Beta Testing: 3 weeks
- Release Preparation: 2 weeks
- Initial Release: TBD (approximately 6 months from project start)
Stakeholders
- Project Owner: [Name]
- Development Team: [Names]
- Design Team: [Names]
- Test Users: To be recruited during alpha and beta phases
- Advisors: [Names if applicable]
Integration Requirements
- Gmail Integration
- Access to Gmail DOM for UI enhancement
- Compliance with Gmail’s extension policies
- Ollama Integration
- Local API communication
- Model management and optimization
- Data Storage
- Local browser storage for user preferences
- Secure handling of analyzed email data
Initial Risk Assessment
- Technical Risks
- Local AI performance may vary widely across user hardware
- Gmail interface changes may break extension functionality
- Ollama limitations or changes could impact capabilities
- User Adoption Risks
- Installation friction (requiring Ollama setup)
- Learning curve for AI-assisted email management
- Chrome extension permission concerns
- Privacy Risks
- User misconceptions about data handling
- Security of local processing
- Browser extension security model limitations
Next Steps
- Complete market and user research
- Develop detailed technical specifications
- Create initial UI/UX design concepts
- Prototype core functionality
- Establish development environment and workflow
- Begin technical architecture documentation
Note: This project definition is a living document and will evolve as the project progresses through research and development phases.