autonomy

A shared vocabulary for one of the biggest decisions in AI product design: how much the AI does on its own. The interviewer wants the levels, and the rule for choosing among them.

Choose the least autonomy that does the job, explain exactly which step deserves a model, and know the one place in onboarding where an agent may genuinely earn its keep.

Agent output is cheap; human review is not. This question tests whether you measure the agent by what it costs the team to accept its work, not by how much work it produces.

A stakeholder question wrapped in an agent question. The strong answer protects the deal and the customer by turning a capability promise into an outcome commitment with a path.

Approval queues create the best dataset an agent team will ever have. This question tests whether you use it to promote autonomy action by action, with a bar set before you look.

Models rarely ask unless told to, and research shows asking at the right moment raises success substantially. Ask when the answer changes the outcome and the action is costly, batch questions up front, and measure both kinds of error.