The agent can be taught the owner's own coding rules. The training material is prepared and the job is run on external GPU, and the design constraint there is the same one as everywhere else: the assistant orchestrating the run is never allowed to read the training examples themselves. It sees counts, checksums and a pass or fail — a problem is reported as a position in the data, not as its contents. The dataset and the job are both private, and that is verified after upload rather than assumed.