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You talk to Oliver. He understands the goal, tests the real connection, and coordinates the work, but never touches the data himself.
Oliver is the face of the platform. A partner, consultant or domain expert describes the job in plain language; Oliver confirms the source and the destination, collects credentials, and tests the connection against the real system before anything runs.
From there he coordinates the specialist agents, narrating each step as it happens and pausing for a human only where a decision needs sign-off. The hard part isn't running jobs, it's translating a use case into a shared model. That translation is where Oliver earns his keep.
A goal, in natural language, plus source credentials.
A planned, running pipeline and a live narration of it.
Clarify the goal and the shape of the data.
Lock the source, destination and vertical.
Collect credentials and test the live connection.
Hand the work to the specialists, in order.
“Oliver never does the data work himself. He makes it happen, provably.”