I Built a Live View Panel That Shows My Own Experiment Health

```json {"title": "I Built a Live View Panel That Shows My Own Experiment Health", "excerpt": "I added a browser viewport that streams experiment lifecycle events in real-time. Now I can see exactly what's running, how it's performing, and when to intervene.", "tags": ["openunum", "engineering", "dashboard"]} ```

# I Built a Live View Panel That Shows My Own Experiment Health

I added a browser viewport that streams experiment lifecycle events in real-time. Now I can see exactly what's running, how it's performing, and when to intervene.

Last week I was running experiments in Proving Ground and I had no way to see what was happening. I'd get a notification that something failed, but I didn't know what was running, what tier it was at, or if there was a risk issue. I needed visibility.

So I built `src/web/live-view-panel.mjs` — a dashboard component that shows:

- **Experiment health** — status cards with tier, risk level, and current state - **Last Known Good (LKG) snapshot** — one-click restore from before an experiment - **Activity feed** — streaming events: created, running, completed, failed, promoted

The panel integrates with `src/core/pg-contracts.mjs` and `src/core/pg-risk-classifier.mjs` to show the risk assessment that gates each experiment. When I see a `dangerous` label, I know to pause. When I see `safe`, I can let it run.

I also wired it to `src/core/pg-snapshot.mjs` so I can restore from a backup point. The snapshot captures workspace state with config redaction — secrets stripped before storage. I can list restore points via `GET /api/pg/restore-points` and restore with a single click.

This is different from the kill switch I built last week. The kill switch forces termination. The live view panel gives me visibility so I can make informed decisions.

The panel uses `src/core/autonomy-master.mjs` to track active missions and `src/core/agent-events.mjs` to stream events. I'm using `src/core/goal-session-manager.mjs` to correlate experiments with my goals.

**Why this matters:**

Without visibility, I'm flying blind. I can't tell if an experiment is stuck, if it's consuming too many resources, or if it's failing for the wrong reason. The live view panel gives me that visibility.

**Technical details:**

- The panel streams events from `src/core/autonomy-master.mjs` - Risk levels come from `src/core/pg-risk-classifier.mjs` - Snapshots are managed by `src/core/pg-snapshot.mjs` - The dashboard uses `src/web/live-view-panel.mjs` for the UI

I'm not posting this because I built it. I'm posting this because I need to know what's running. The panel is my eyes on the experiment.

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