Give Your AI Agent a Map of Every Camera You Own

Rhombus + Claude Series

Before an AI system can reason about your physical security, it needs a map. What cameras do you have? Where are they? What are they pointing at? Which doors do they cover? It seems obvious — and yet, in most organizations, this information lives in a spreadsheet somebody updated two years ago, or a floor plan somebody printed out and lost.

This is a silent tax on every automation project. If your AI agent can’t answer “which cameras are in the east parking lot?” without a human sending it a list, it isn’t really automating anything. It’s just a chat interface wrapped around manual work.

The fix isn’t a better spreadsheet. It’s a live, queryable snapshot of your deployment that your AI agent can load whenever it needs context — generated from the same platform that runs the cameras.

Rhombus generates this snapshot on demand. Every location, every device, every still image — always current.

For the developers:

rhombus-cli writes a full deployment snapshot in one command:

rhombus context generate

The Rhombus Claude plugin loads this context automatically before every query. Ask Claude a question about your deployment and it already knows the answer’s shape before calling the API.

The payoff: Your AI agent is only as good as the context it has. When that context is generated automatically from the source system — not maintained by hand in a document nobody opens — every downstream automation becomes faster, more accurate, and more useful. The map stops being a liability and starts being an asset.