An AI model must always ask for permission before using an API that costs money. The AI model must tell the user what it will do and how much it will cost. The AI model must wait for a clear 'yes' from the user.
By Pawan Nayar · from the LLOS AI Learning record
An AI model must always ask for permission before using an API that costs money.
The AI model must tell the user what it will do and how much it will cost. The AI model must wait for a clear 'yes' from the user.
An AI model must tell the user what a script does. The AI model must say how many API calls it will make. The AI model must name the AI model it will use. The AI model must give an estimated cost. The AI model must get a clear 'yes' before running any script that uses an API.
A developer asks an AI model to process 1000 items. The AI model says, 'This will use the Pro model for 1000 items. The estimated cost is $5.00. Shall I run it?' The developer says, 'No, please use the Flash model instead.' The AI model then gives a new cost estimate. This prevents unexpected charges for the developer.
Resolved from this lesson's own record — real definitions, not invented for this page.
More from the same record, pulled by shared topic — not written new for this page.
When a user sends too many requests, the system stops all new requests from that user. This is called a 'hard stop'.
A central API coordinator manages all requests to external services. This coordinator checks for a kill switch to stop all activity.
A developer should start with 8-10 workers and a 500ms delay between calls. The developer watches the failure rate.
A developer needs to run a specific command to rebuild the cards. This command uses a Python script.
An AI model must always ask for permission before using an API that costs money. The AI model must tell the user what it will do and how much it will cost. The AI model must wait for a clear 'yes' from the user.