An AI that builds your network topology, then lets you reach into it: connect hardware directly, drive it through intonation-based navigation, and watch the traffic move in real time.
Network topology usually lives in two places at once: a diagram somebody drew last year, and the real thing, which has drifted. Operators work blind between them. And when a change breaks something, finding out what the network looked like before the change is archaeology. We wanted one view that is the network, not a picture of it.
An AI that discovers and builds the topology itself, laying out nodes and links from what is actually on the wire.
Direct hardware connection, so a node in the view is the real device, not a representation of it.
Intonation-based navigation: you steer and operate hardware by voice, with the radial menu resolving intent into actions like restart, shutdown, or run program.
Live traffic rendered on the links as it moves, so load and failure are something you see rather than something you query.
Hourly state capture of the whole network, with configuration, so any past hour can be opened, inspected, and restored.
One live view that doubles as the control surface. Operators see the real topology, act on real hardware by voice, and watch the effect immediately. And when a change goes wrong, the network can be rolled back to the hour before it did.
