Machine-readable is a design constraint
A machine-readable website does not hide its structure behind presentation. It makes the public logic visible.
That starts with content types. Pages, articles, FAQs, glossary terms, and directory entries do different jobs. Putting them all into one generic bucket creates ambiguity for both people and machines.
The practical stack
- A front controller with clean routes
- JSON as the canonical relationship layer
- Markdown for body copy when useful
- Public AI files such as
llm.jsonandLLM.txt - A library index that links every public asset type
Why flat-file architecture works
Flat-file systems make public structure easier to reason about. The source files are visible. The routes are explicit. The relationships live in JSON instead of hidden inside a database abstraction.
That makes them a strong fit for knowledge-heavy sites that care about AI visibility.
The real goal
Machine-readable does not mean machine-only. It means the same public asset can serve people, crawlers, answer engines, and future agents without being rewritten for each one.