Start with the structured AI learning path
Built for product leaders — not research labs. Modules build from mechanics to strategy.
AI Learning
A structured learning book for understanding AI deeply — LLM mechanics, prompting, token economics, RAG, agents, MCP, production AI infrastructure, and applied AI product strategy.
Books & learning paths
Six structured learning tracks across AI product leadership and enterprise transformation.
AI Learning
LLM mechanics, prompting, RAG, agents, MCP, LLMOps, and enterprise AI transformation.
Start reading →Product Leadership Notes
Strategy, metrics, risk, and stakeholder alignment for AI products.
AI Implementation Playbooks
Shipping AI in enterprise workflows with controls and evaluation.
Agentic Workflow Notes
Agents, tools, orchestration, and human-in-the-loop design.
HealthTech Transformation Notes
Claims, pre-auth, operations, and workflow modernization.
Digital Transformation Notes
AI-led digital transformation for enterprise workflows and operations.
Latest chapter
AI Learning · Model Landscape, Capabilities & Economics
The Model Selection Memo — The PM Version
Why this blog exists
This blog documents my learning and product thinking around AI, digital transformation, enterprise workflow automation, HealthTech AI, agentic systems, RAG, and practical AI product leadership — written so complex ideas become clear frameworks for builders and operators.