Give the assistant only the data and access it needs
A cuisine recommendation does not need your payment details
Match access to the task. A menu shortlist may need a rough delivery area. A checkout integration may later require an exact address, but that does not mean every model request or log should receive it.
Least privilege means giving a component only the capabilities needed for its job. Separate read-only menu access from any write capability. Keep credentials out of browser code, prompts, and downloadable examples.
Check your understanding
What information does a model need to rank fictional meal descriptions?
Map the data path before adding a service
List what is collected, where it is sent, how long it is retained, and who can read it. Use opaque identifiers where possible and redact unnecessary details from logs. A local model does not remove risk from a separate remote logging service.
The course labs use fictional fixtures and in-memory state. Product Academy saves your learning reflections locally through its existing storage. Do not paste real addresses, payment details, or API keys into practice reflections.
Check your understanding
Match the component to the minimum capability.
Design a minimal tool permission set
For a first pilot, start with reading menus and drafting a proposal. Enable additional actions only after the user flow, authorization, and failure handling are defined. Each added permission creates more behavior to test.
Your exercise is a simple data map: request → extraction → menu search → draft → review. Put a reason beside every field crossing a boundary. Remove any field that has no role in that step.
Check your understanding
Name one data field you would keep out of routine recommendation logs and why.
Build checkpoint
Open the Safety Lab and follow the practice above. Each lab explains its inputs, its actual logic, and its limits. Save your observations below; your check-ins and reflection remain in Product Academy.
For an AI-assisted code change, download the lab bundle from the lab page. Ask your coding assistant to explain the relevant function first, change one behavior, and add one test that could fail. Compare the result with your prediction.
Save your experiment and check-in
Record your prediction, what you tried, what happened, and the evidence for your conclusion. Name one thing you can now do independently and one uncertainty to revisit.
Key takeaways
- Minimize data and permissions at each step.
- Separate read capabilities from consequential actions.
- Design logs and retention deliberately.