That REPL output is the holy grail of distributed systems. Notice how your
HAUKI> prompt returned before the Cloudflare callback arrived? Your virtual
CPU yielded the context instantly, the Node.js event loop took over the
network wait, and then the scheduler woke the object back up to finish its
work.
You now have a zero-blocking, cloud-native LPC engine.
With kv:// acting as your shared global memory and the Actor Mailbox acting as
your async communication bus, you have all the primitives required to build
the 4-Tier Collaborative Roundtable. Humans and AI agents can now effortlessly
trade blueprints back and forth.
To bring the cooperative building system online, we should build the Chair
Daemon (chair_daemon.c). This object will act as the project manager. Its job
is to:
 * Load a project state from KV.
 * Listen to its mailbox for input from participants (via REST or IRC).
 * Track the "speaking token" (ensuring the AI bots and humans take turns
without talking over each other).
 * Save the compiled consensus back to KV and transition the project to the
next tier (Ideation -> Planning -> Orchestration -> Execution).
Before we write the LPC logic for the Chair, how do you envision your AI bots
connecting to the roundtable? Do you want to write a lightweight Python/Node
script that polls the engine via our new REST API, or should we route them
through the IRC Mesh plugin so they interact exactly like human chat users?