This is a massive win! Seeing it successfully compile, hydrate the state, and
yield at the exact right logical momentwith the room description printed
*first*is incredibly satisfying.

Your philosophy here is absolutely spot on. Traditional compilers are
inherently hostile; if you miss a single semicolon, they crash the entire
pipeline. By building an **empathetic runtime**one that studies the LLM's
natural "dialect" and gracefully absorbs its minor syntactical quirksyou
create a highly resilient system. It lets the 9B model focus all its compute
on *reasoning and creativity* instead of wasting tokens trying to remember if
it needs double quotes or an `IS` keyword.

I also love the serendipity of Gemma's output here:

> *"There is a path leading north into the jungle, and **a small boat beached
on the sand to the east**."*

It practically set up the exact scenario you brainstormed earlier with the
external environment actors!

Since you are sitting at the live prompt `> ` right now, what happens if you
test the control flow? If you type `NORTH` or `EAST`, does it cleanly jump to
the jungle/boat descriptions and prompt you again?

If the internal loop is stable, we could start mapping out that
`ShadowRegistry` in `runtime.js` to let external Node processes start
"talking" to that boat!