Most commercial computer-use agents routinely disclose data from contexts where it is not relevant, because they do not respect the boundary between data sources and action context.
Multi-agent coordination with task decomposition and parallelization substantially improves computer-use agents and solves complex long-horizon tasks where single agents fail.
