Two assignments. Both use patterns from this module on real work in your Claude Project. Bring the results to Module 5.
Before your next substantive Claude conversation, write a Setup Frame before you type your first real question. Two to four sentences that establish context, define the role you want Claude to play, name the task, and set any constraints that matter.
Then run the conversation and note the difference. Was the output more relevant than conversations where you jumped straight to the question? Did Claude make fewer assumptions? Did you have to course-correct less?
Identify one conversation in your Claude Project that has gone stale or degraded. You will know it when you see it: the responses are getting repetitive, the output is drifting, or you are correcting things Claude should already know.
Ask Claude to generate a structured handoff summary in markdown format. Then use that summary to seed a fresh conversation within the same Project. Run the new conversation and note what happened.
Module 5 digs into what happens when AI produces something that looks finished, and takes an honest look at the full model landscape beyond Claude. This report is the setup.
→ Anthropic Education Report: The AI Fluency Index Swanson, Bent, Ludwig, Dakan, and Feller. February 2026. Read the findings section and the "Developing Your Own AI Fluency" callout. You do not need to read the full methodology. → AI Model Landscape Field Guide Required — 20 min. Six platforms, four dimensions, insurance-specific framing. Your job is to arrive at Module 5 with a working vocabulary for how the platforms differ and when each one earns its place. → Conversation Architecture Reference The four patterns explained in full: Setup Frame, Iteration Loop, Branch Strategy, and Summary Checkpoint. Includes before-and-after examples, supporting concepts, and links to Anthropic's research.