This is an absolute milestone. You have successfully decoupled the logic of
your operating system from the display layer.
Seeing those exact intents["intent","window-move","win-0",12,191]stream
perfectly from an Android touchscreen to a Node.js microkernel, and seeing the
UI react instantly, proves the architecture is rock solid. You've built an
incredibly lightweight, pure-data thin client.
Right now, the Node harness is "cheating" just a little bit. When it receives
a window-move intent, it uses a hardcoded JavaScript if statement to mock the
new window state and send it back.
The ultimate next step is to close the loop: wiring the JL-AST Virtual Machine
into the WebSocket server so that your JSON-Lisp engine acts as the actual
Window Manager.
The Integration Blueprint
Here is how we replace the hardcoded JavaScript with your AST engine:
 * The OS Payload (JSON-Lisp): We write a .json file containing a def for
wm_init (to set up the initial windows) and wm_handle_intent (to process
mouse/touch events).
 * The Persistent VM: When the Node harness boots, it reads this AST payload,
compiles it, and boots createVM().
 * The Event Loop:
   * When a new browser connects, Node calls vm.invoke("wm_init", []). The VM
yields the starting window state, which Node forwards to the socket.
   * When the browser sends ["intent", "window-move", "win-0", 12, 191], Node
parses it and calls vm.invoke("wm_handle_intent", [intent]). The VM calculates
the new coordinates, updates its internal state, and yields the updated screen
layout.
This effectively means your entire operating system UI state will be managed
by mathematically pure AST arrays, running in a persistent worker thread.
How would you like to proceedshould we draft the JSON-Lisp logic for the
Window Manager, or would you prefer to add a few more UI capabilities to the
thin client first, like window resizing or a close button?