What is the primary focus of the Description-Discernment loop?	Building cognitive environments where humans and AI work together effectively through sustained conversation.
What key element must students build with AI using this loop?	Shared context and understanding, moving beyond single prompts.
What three lenses are used to understand the collaborative process within this loop?	Product (what is created), Process (how it is approached), and Performance (how it is interacted with).
How does the Description-Discernment loop relate to the Delegation-Diligence loop?	Delegation-Diligence sets the strategic direction, while Description-Discernment fills that container with rich, iterative interaction.
What is the goal of teaching this loop regarding AI interaction?	To move students beyond mere automation toward genuine augmentation.
What must successful cognitive environments include?	Shared vocabulary, established interaction patterns, and mechanisms for building on previous exchanges.
How should educators structure assignments to teach this loop?	By requiring multiple interactions over time and encouraging students to document the evolution of their shared context.
What transformation does the Description-Discernment loop facilitate?	It transforms AI interaction from simple commands to context-driven conversations.
What is the key difference between thinking about "prompt tricks" and using the Description-Discernment loop?	The loop requires developing genuine collaborative relationships with AI, not just optimizing single prompts.
How are the two loops described in relation to each other?	They work as nested systems, where strategic decisions (Delegation-Diligence) create the container for tactical interactions (Description-Discernment).