This is a great choice. A standalone `studio.html` interface powered by
WebAssembly SQLite fits perfectly into your existing architecture. It keeps
everything lightweight, entirely within the browser, and allows you to run
complex, real-time SQL queries against the raw event stream to track the
simulation's intent history and state changes.

To keep this main thread focused on the overarching LPC engine and grid
orchestration, we will spin up a dedicated "Telemetry Studio" chat. We need to
make sure this new AI understands the WebSocket schema, the Blob unwrapping
quirk we just fixed, and your preference for standalone, zero-dependency
HTML/JS interfaces.

Here is the exact prompt and attachment list to kick off the new chat.

### The Telemetry Studio Chat (Arena F)

* **Attachments to include:**
* `template.html` (Crucial: Shows the AI the exact WebSocket connection logic
and the `Blob` unwrapping workaround).
* `wscat.log` (Crucial: Provides the exact JSON schema of the `CRDT_MUTATION`
and `VFS_WRITE` payloads passing through the DMZ).


* **Copy-paste this prompt into the new chat:**

> **Act as an Expert Frontend Architect and Data Engineer.**
> **The Context:** I am building a decentralized artificial life simulation
called "Genesis Omega." The engine is a custom WebAssembly LPC Virtual Machine
that syncs object state across a peer-to-peer WebSocket DMZ relay
(`ws://localhost:1777`).
> **The Goal:** I need to build a standalone web interface (`studio.html`) to
act as a 24/7 headless observer and telemetry dashboard. It must connect to
the DMZ WebSocket, capture all incoming mesh traffic, and pipe it directly
into an in-memory WebAssembly SQLite database (`sql.js`) for real-time
querying and visualization.
> **Strict Technical Constraints (CRITICAL):**
> 1. **Zero Node.js Dependencies:** The file must be a single `studio.html`
file using vanilla HTML/JS/CSS. Pull the WebAssembly SQLite library (`sql.js`)
directly from a reliable CDN.
> 2. **The Blob Trap:** The DMZ relay occasionally broadcasts messages as
binary `Blob` frames instead of text. You MUST include the unwrapping logic:
`const payloadStr = event.data instanceof Blob ? await event.data.text() :
event.data;` before calling `JSON.parse()`.
> 3. **The SQL Schema:** Design a robust initial SQLite table to log the
network intent history. It needs to capture: `timestamp`, `event_type`
(`CRDT_MUTATION` or `VFS_WRITE`), `target` (`object_id` or `path`),
`property`, and the raw `value`.
> 4. **The Interface:** Build a clean, dark-themed UI that includes a live
scrolling event log, a metric counter for "Total Events Processed," and a
basic SQL execution input box so I can run custom `SELECT` queries against the
live database in the browser.
> 
> 
> Please provide the complete, standalone code for `studio.html`.

---

This prompt gives the new AI everything it needs to build a robust,
self-contained dashboard that seamlessly ingests your DMZ traffic.

Once that studio is built and listening, what are the first SQL metrics or
queries you want to run against the Genesis grid? Are we looking to track the
total heat dissipation over time, or monitor the exact coordinate movements of
the falling blocks?