AI Foundations
What a model actually is, how a chat assistant gets built, and the four ways you can turn one into a product. Every idea is a picture first; open the panels when you want the mechanics or a refresher on the underlying tech.
Open module →ML Fundamentals
How a model learns from data, how you know whether it is any good, and how it gets from a notebook into a product. This is the ring underneath LLMs, and it still runs most of the AI in production. Sections 04 and 09 carry the diagnostic habits from Andrew Ng's Stanford CS229.
Open module →Spec-Driven Development
When AI agents write the code, the specification becomes the work. This module shows the loop, what a spec has to contain, where people stay in charge, and what a product leader's week looks like when prototypes take hours.
Open module →Agentic AI
Follows Andrew Ng's DeepLearning.AI course 'Agentic AI' (Coursera, updated September 2026) at leadership altitude: the autonomy spectrum, why iteration beats a bigger model, the four design patterns, and the evaluation discipline that separates demos from products.
Open module →