Consumer Semantic Theme reached 110% coverage of Material Design tokens.

Besides M3 tokens, it also covers container based responsive layout and speech tokens. 

Damn proud of myself 😜 

And sincere gratitude 🙏 to ChatGPT and Claude Code products. Without them—and without taking dollars out of my family budget—this would have taken a year (or years) instead of a month.

Next up: Theme Builder…
github.com/EPA-WG/custom-element-dist/blob/develop/src/material/theme/tokens/cem-m3-parity.md

Continue to work on Consumer Semnatic Theme principles...

Stroke thickness is allowed to vary *by density mode* as a **non-breaking** adjustment, as long as semantics stay intact:

- Dense UI may need **stronger strokes** because small targets and reduced whitespace reduce separability.
- Comfort UI can remain at hairline boundaries in more places because whitespace carries part of the separation work.

So far the ChatGPT is the best in analythics and taxonomy creation, while Claude Code in formalizing the MD documents.

Here is an example: https://github.com/EPA-WG/custom-element-dist/blob/develop/src/material/theme/tokens/cem-shape.md