AI Mission Control
Watch STRATUM AI operate guest VMs and devices through structured tools, commands, Serial and authorized graphical console control while live operational evidence remains visible.
Watch the Mission while it runs
Mission Control is the live operational surface for STRATUM AI work. For guest VM and device operations, it exposes the delegated task, target, current goal, execution state and evidence returning from the runtime so an operator can follow the Mission as it progresses instead of waiting for a final status.
STRATUM normally prefers structured backend operations where they are available. Installed STRATUM Guest Tools can expose typed guest operations, command execution, file transfer and other capabilities without requiring visual interaction with the desktop.
Use the console when the guest requires it
Some infrastructure work reaches BIOS or UEFI screens, operating-system installers, recovery environments, graphical configuration programs, login screens or legacy applications whose useful interface is visual. When console control has been explicitly granted, a vision-capable STRATUM AI model can use the VM console as another authorized execution method.
Mission Control makes that activity visible. The operator can see the target VM or device, whether AI control is active, the latest screen observation, the delegated task, the state recognized by the runtime, the current goal and command or recovery progress. The console becomes another execution surface inside the governed Mission, and STRATUM can move among Guest Tools, command execution, Serial and graphical console methods as the approved task requires while Mission policy and scope remain in force.
Screen observations are part of the operational record
Live screen observations give both STRATUM AI and the human operator a view of the guest state encountered during execution. An unexpected installer prompt, graphical utility or recovery screen can therefore become visible evidence that influences the next action instead of becoming an invisible failure inside an automation loop.
This is particularly useful for infrastructure operations because real systems frequently cross the boundary between APIs, command lines and graphical interfaces. Mission Control keeps those transitions observable while the authorized AI task continues.
