You've seen how developers and users can control AI behavior through configuration, API calls, and validation rules. Let's practice identifying these control mechanisms in real implementations.
Engagement Message
Ready to debug some AI control patterns?
Type
Sort Into Boxes
Practice Question
Sort these AI control methods by where they're typically implemented in the system architecture.
Labels
- First Box Label: Config-Level
- Second Box Label: Runtime-Level
First Box Items
- System Prompts
- Safety Validators
- Tool Permissions
- Base Instructions
Second Box Items
- User Prompts
- API Function Calls
Type
Multiple Choice
Practice Question
An AI consistently responds with "As your coding assistant, I'll help you write clean, efficient code." This behavior pattern is most likely configured through:
A. The AI learning from previous user interactions. B. A runtime prompt passed by the current user. C. A system-level configuration prompt in the model setup. D. An external API call to a personality service.
Suggested Answers
- A
- B
- C - Correct
- D
Type
Swipe Left or Right
Practice Question
Is this AI behavior the result of input validation/error handling or an external API call? Swipe accordingly.
Labels
- Left Label: Input Validation
