◇ Could this help me?
Yes. All three habits match genuinely established practice for working with strong models: eliciting unknown unknowns before acting, having the model interview you to resolve architecture-changing ambiguity (a pattern Anthropic's own guidance encourages), and reacting to cheap parallel prototypes instead of specifying blind. They are prompt-only, zero-risk, and general habits for any substantial AI-assisted task rather than project-specific.
Before we start this task, run a three-step pre-work ritual. Step 1, blind spot pass: I may be new to parts of this problem, so show me my unknown unknowns, the things I did not know to ask about, so I can direct you better. Step 2, interview me: ask one question at a time about anything ambiguous, prioritizing the questions where my answer would change the architecture or approach, and stop when the ambiguity is resolved. Step 3, prototype first: if the task has a visual or structural output, make one quick draft with four wildly different directions so I can react before we commit. The task is: