Trails
Guided paths through the knowledge base. Each trail curates a sequence of stops for a specific purpose or audience.
From Marketing to AI Architecture
This trail is for colleagues, hiring managers, or anyone wondering how a VP of Digital Marketing ended up building AI infrastructure. It traces the journey from systems thinking in marketing through the ADHD discovery that changed everything, to the production systems and 75-file business plan that prove this isn't a career pivot — it's a convergence. Each stop builds the evidence, from personal insight to technical proof to strategic positioning.
Agentic Harness Deep Dive
This trail covers the complete journey through agentic harness architecture, from accessible video explainers to production-grade system documentation. It explores the stop-gate pattern that enables deterministic AI orchestration, workflow management with human-in-the-loop quality gates, and the skill execution layer that turns AI capabilities into reliable automation. The trail connects conceptual understanding from book chapters with hands-on implementation patterns, showing how the harness concept evolved from theory into running systems across multiple domains.
Knowledge Graph in Practice
This trail covers the path from conceptual understanding to running knowledge graph systems. It begins with architectural decisions and design principles, progresses through graph-based RAG patterns and semantic search implementations, and culminates in production deployment guidance. Each stop builds on the previous, connecting the theoretical foundations of knowledge representation with the practical challenges of building retrieval-augmented systems that actually work in production environments.
From ADHD to AI Architecture
This trail covers the personal journey from ADHD diagnosis to architectural innovation, exploring how cognitive constraints become design patterns. It traces the discovery that ADHD management strategies map directly onto AI system architectures: externalized memory becomes context compilation, associative thinking becomes knowledge graph traversal, and hyperfocus becomes specialized agent design. The trail weaves memoir with technical exploration, showing how constraints that once felt like limitations became the foundation for building more effective AI systems.
Building Production AI Systems
This trail covers the practical path from conceptual understanding to deployed AI systems. It begins with visual introductions to structured development workflows, progresses through skill development methodology and business case construction, and arrives at production system architectures with real deployment examples. The trail emphasizes the bridge between knowing what to build and actually shipping working systems, connecting each concept to concrete implementation patterns that have proven successful in production.
Context Engineering Masterclass
This trail covers the deep technical landscape of context engineering for AI systems. It explores the compiled-view model that transforms scattered context into coherent system state, the four-layer memory architecture that enables persistent intelligence, and the patterns for managing context across multi-agent systems. From authoritative research synthesis to production system monitoring, this trail provides comprehensive coverage of how to design, implement, and observe context management at scale.
Infrastructure-First Philosophy
This trail covers the complete infrastructure-first thesis: build the thing that builds the things. It begins with the core philosophy of investing in development infrastructure before features, progresses through ClaudeOps implementation patterns and staged DevOps workflows, and arrives at the strategic competitive advantages this approach creates. The trail connects philosophical principles to concrete implementations, showing how infrastructure investment compounds into sustainable development velocity and system quality.
Video Explainer Collection
This trail covers multimedia learning resources for visual architecture exploration. It collects video narration scripts that explain complex concepts through visual presentation, from high-level architecture overviews to detailed tutorial walkthroughs. The trail provides accessible entry points to technical concepts, complemented by book chapters that offer deeper textual exploration. Ideal for those who prefer visual learning or want to preview concepts before diving into detailed documentation.
Healthcare AI Application
This trail covers the application of AI infrastructure patterns to healthcare product knowledge and analytics. It demonstrates how abstract architectural concepts translate into domain-specific implementations, from business case construction through technical system design to healthcare-specific retrieval patterns. The trail connects general production system patterns with the specialized requirements of medical and healthcare contexts, providing a complete case study of AI applied to a regulated industry.