Make the experiment repeatable
Record dependencies, dataset versions and processing steps. A result that only runs on one laptop is difficult to evaluate or maintain.
Define the interface
Specify inputs, outputs, failure cases and expected response times. Make data validation part of the system boundary.
Plan for operation
Decide who owns monitoring and what happens when input data changes. Keep a simple rollback path and document the limits of the model.
Transfer understanding
A handover should explain assumptions and decisions, as well as commands. The receiving team needs to know when the system should not be used.