Users and tenants on the Build Your Own AI Platform track. Decide who owns a model and who may call it. A tenant boundary means one customer's data and artifacts are not visible to another.
This lesson assumes you already worked through A platform is not a model.
The idea in practice
Put tenant id on every row and every object path. Test a cross-tenant read and expect failure.
A concrete check
goal = {
'track': 'Build Your Own AI Platform',
'lesson': 'Users and tenants',
}
checks = [
'input available at decision time',
'score matches the real decision',
'failure case written down',
]
print(goal['lesson'])
for item in checks:
print('-', item)
Run the sketch locally if you have Python. The printout is a reminder of the checks, not a trained model. Replace the strings with the real inputs from your own example before you treat it as a design.
What usually goes wrong
A shared bucket with guessable keys. When this happens, stop adding parameters or tools. Fix the check, the data, or the permission, then run the same example again.
What to write down
- The input you are allowed to use at decision time.
- The output and the score or pass rule.
- One failure you will test on purpose.
- What you will not claim the system can do.
Practice
Name the tenant key and one test that must fail.
Self-check
- Say Users and tenants in one sentence that mentions an input and an output.
- Name the failure mode in this lesson and the check that would catch it.
Done when: you can explain this lesson without the page open, and you have a written failure case.