Foundations
Foundations are the parts of the collection that should survive several generations of tools. They are not a syllabus to finish. They are compact mental models to revisit when a practical problem exposes a gap.
| Area | Keep close | Use it for |
|---|---|---|
| Computer Science | programs, data, algorithms, systems, networks | understanding what the agent is changing |
| Mathematics | linear algebra, probability, calculus, optimization | checking models, measurements, and claims |
| AI & Data | learning, representation, evaluation, data quality | reasoning about model behavior beyond product names |
Maintenance Rule
Foundation notes change when the underlying explanation improves, not whenever a product launches. Review them annually or when a dependency changes materially. Current model names, prices, endpoints, and previews belong in the Frontier Radar, where a short shelf life is explicit.
What Stays Off the Main Path
Older course notes remain available through search and the Reference Shelf. They are raw reference material, not the default reading order. When one becomes useful again, extract its durable idea into a focused note instead of expanding the old course tree.