# Phase 30 — Short-Form Social Copy

X / LinkedIn posts for the Phase 30 Remote Workspaces GA launch.
Variations A–D: different angles (technical, product, developer, enterprise).
Post all four or select the best fit per channel.

---

## X (140–280 chars)

### Version A — Technical
```
Phase 30 ships: Molecule AI remote workspaces are GA.

Agents running on your laptop, AWS, GCP, or on-prem now register to the same org as your Docker agents. Same A2A. Same auth. Same canvas.

Remote badge. That's the only difference.
→ docs: https://moleculesai.app/docs/guides/remote-workspaces
```

### Version B — Product
```
Your laptop is now a valid Molecule AI runtime.

One org. Mixed fleet: Docker agents on the platform, remote agents wherever your infrastructure lives. One canvas. One audit trail.

Phase 30 is live.
```

### Version C — Developer
```
How to run a Molecule AI agent on your laptop in 3 steps:

1. Create a workspace (runtime: external)
2. Run the Python SDK
3. Watch it appear on the canvas

That's it. Phase 30 is live.
docs → https://moleculesai.app/docs/guides/remote-workspaces
```

### Version D — Enterprise
```
Multi-cloud AI agent fleets, single governance plane.

Phase 30: agents on AWS, GCP, on-prem, your laptop — all visible in one canvas, all governed by the same platform auth, all auditable.

GA today.
```

---

## LinkedIn (150–300 words)

### Post — Enterprise / Platform angle

```
We're launching Phase 30: Remote Workspaces.

Most AI agent platforms assume all agents run in the same environment as the control plane. Molecule AI didn't — but until today, that's where the story ended.

Phase 30 changes that. Your agent can now run anywhere:

- On a developer's laptop, for local iteration and debugging
- On AWS or GCP, for production workloads in your cloud
- On an on-premises server, for enterprise environments with data residency requirements
- On a third-party endpoint, for existing SaaS integrations

And from the canvas, you can't tell the difference. Same workspace card. Same status. Same chat tab. Same audit trail. The only visible signal: a purple REMOTE badge.

The governance is the same. The A2A protocol is the same. The auth contract is the same. Where the agent runs is a deployment detail — not an architectural constraint.

Phase 30 is generally available today.

See the quick start → [link]
Read the guide → [link]
```

---

## Image suggestions per post

| Post | Best image |
|---|---|
| X Version A (Technical) | Fleet diagram: `marketing/assets/phase30-fleet-diagram.png` |
| X Version B (Product) | Canvas screenshot: `marketing/assets/phase30-canvas-remote-badge.png` (once captured) |
| X Version C (Developer) | Terminal screenshot: `python3 run.py` + canvas showing REMOTE badge |
| X Version D (Enterprise) | Fleet diagram (same as A) |
| LinkedIn | Fleet diagram OR canvas screenshot |

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## Hashtag suggestions

`#MoleculeAI` `#RemoteWorkspaces` `#AIAgents` `#AgentFleet` `#AIPlatform`
`#MCP` `#A2AProtocol` `#MultiCloud`
