What is the primary function of the Delegation-Diligence Loop when interacting with AI?	It frames the entire AI interaction by defining what data/tasks are handed off (Delegation) and ensuring the user takes responsibility for the final output (Diligence).
In the Delegation-Diligence Loop, what does "Delegation" involve?	Deciding upfront what is appropriate to hand off to AI (the right task, tool, and data).
What is the purpose of "Description" in the AI interaction loop?	To communicate a clear vision or goal so the AI model knows exactly what it needs to act on.
What does "Diligence" require the user to do after receiving AI output?	To verify, attribute, and own the final product, ensuring accuracy and accountability.
What is the main privacy concern when using AI tools?	That some tools use the user's inputs to train future models, requiring careful data handling.
What is the essential data hygiene strategy before sharing sensitive business information with AI?	Stripping or sanitizing the data by removing identifying details (names, contact info, proprietary figures).
Why is it crucial to be highly specific when defining a task for AI?	Specific goals (e.g., "understand why repeat bookings dropped") lead to better, more evaluable AI outputs than vague requests.
What is the role of "Discernment" in the loop?	To judge the AI's output and feed that judgment forward into the process.
When "owning the result," what three questions must a user ask about AI output?	Accuracy (Does it go beyond the data?), Usefulness (What to keep/cut?), and Accountability (Can I put my name on it?).
If AI generates incorrect or misleading information, what immediate safety protocol must be followed?	Act fast by deleting the conversation and requesting data deletion.
