AI Explorer (AIXplore)

AI Explorer is the automated research publishing flywheel: where DGX experiments systematically become structured technical articles without manual content creation overhead.

The Automated Flow

1. Run experiments on DGX Spark
2. Capture logs, results, and insights automatically
3. Claude Code transforms raw data into structured articles
4. Obsidian templates enforce consistent formatting
5. Publish to Obsidian Publish with proper categorization

The Scale

• 80+ technical articles published
• 5 categories: AI Development & Agents, Cutting-Edge AI, AI Systems & Architecture, Practical Applications, Emerging Trends
• 145+ tags for discoverability
• 7 curated learning paths
• ~4.75 hours of technical content

Content Distribution

• Practical Applications: 41% (hands-on guides)
• AI Systems & Architecture: 24% (system design)
• Cutting-Edge AI: 16% (research analysis)
• AI Development & Agents: 14% (building autonomous systems)
• Emerging Trends: 4% (future directions)

Why It's Different from Run Data Run

AI Explorer is systematic and automated: structured technical content that flows from experiments. Run Data Run is personal and curated: authentic voice expressing opinions and insights. Both serve different audiences and purposes.

The Compounding Effect

Every experiment contributes to the knowledge base. The digital garden grows automatically, creating a comprehensive resource that compounds over time. Readers get structured learning paths; the author gets automated documentation.