01
AI-Native Personal Workflow
Rewire how a product leader works, thinks, and ships with AI in the loop.
02
Prompt Architecture and Probabilistic Thinking
Move from one-shot prompting to designed, testable prompt systems.
03
Build as a PM
Ship working prototypes without waiting on engineering.
04
AI Systems Thinking
Design AI features as systems, not features. Inputs, retrieval, reasoning, outputs, feedback.
05
AI Interface Design
Design for probabilistic outputs. Trust, legibility, and graceful failure.
06
Evaluation Systems and Feedback Loops
Measure AI quality over time. Offline evals, online evals, regression prevention.
07
Context Engineering and RAG
Get the right context to the model. Retrieval, chunking, relevance, grounding.
Enterprise track
08
Orchestration and Agent Flows
Compose tools, memory, and planning into reliable agent workflows.
Enterprise track
09
Spec-Driven AI Development
Write executable specs that engineers can ship against. End the translation tax.
Enterprise track
10
Knowledge Graphs and GraphRAG
When vector search hits its limits, structure beats similarity.
Enterprise track