Product Experiments
Exploring AI-assisted development and modern product workflows
Personal projects that demonstrate rapid prototyping capabilities and explore emerging technology applications in product development.
Health Sender
iOS utility for AI-friendly health data export
Built a lightweight iOS app that exports Apple Health data in formats optimized for AI analysis. The project served as hands-on exploration of AI-assisted development workflows and the complete iOS app lifecycle.
Technical Approach:
- Native iOS development using AI-assisted workflows (Cursor, Claude Code)
- HealthKit integration for secure data access
- Optimized data formatting for LLM consumption
- App Store deployment and user feedback integration
Key Learnings:
- AI-assisted development dramatically accelerates learning new platforms
- Apple's health data policies significantly shape product possibilities
- One-time purchase model vs. subscription economics in mobile apps
Technologies
Generative AI Monthly
Automated content generation system for Kindle publication
Developed an end-to-end content automation pipeline that researches, curates, and formats AI industry content for monthly Kindle publication.
System Architecture:
- AI APIs for content research and curation
- Automated formatting pipeline for Kindle standards
- Monthly publication workflow with quality controls
- Alternative distribution channel exploration
Strategic Insights:
- Content automation technology vs. audience development challenges
- Platform dynamics and user expectations in publishing
- Scalable content generation with editorial oversight
Technologies
Development Philosophy
These projects share a common approach:
Real problem focus
Address observed market gaps or personal pain points
Complete product cycles
From concept through deployment to understand full development challenges
AI as force multiplier
Leverage AI assistance for rapid prototyping and validation
Platform-native design
Work within platform constraints rather than against them
Each experiment teaches valuable lessons about modern product development, AI integration, and market dynamics while demonstrating practical technical capabilities.