Claude Design: 3 Techniques for Effective Iteration

When the first version of an interface is not enough, iterating with Claude Design benefits from following a method. Going beyond a simple follow-up prompt, propagating decisions consistently, documenting AI assumptions, and thinking in terms of interactive states are three complementary levers. Here are some prompts and concrete actions to structure these improvement loops.

Prototyping States: Leveraging Interactive Prototypes

Instead of multiplying static screens, it is advisable to model the different states of an interface. Claude Design supports interactive prototypes, allowing work on situations such as empty states, loading, population, errors, validation, success, or edge cases. For example, you can ask Claude to generate a loading state in the form of a skeleton screen for a banking application, based on the home layout. The produced skeleton screen is not just a simple mockup but a coded and functional prototype. A suitable prompt could be: “Design a loading state for the home screen – make it a skeleton screen.”

Modify Locally, Propagate Globally

To evolve an interface, it is effective to start by modifying a specific element — a card, a modal, a table row, or a header — through a direct change or an inline comment, then ask Claude to apply this change across the entire mockup. This could involve, for example, changing functional elements from blue to red. A useful formulation is: “Consider this as a reference and apply the same decisions everywhere.” Claude Design can then adjust all relevant elements on a broader scale.

Ask the AI for Its Assumptions Before Editing an Interface

Before modifying a proposal, it is helpful to ask Claude to clarify the assumptions it is based on. The AI can indicate what it knows or does not know about the product and the assumptions it makes regarding the user, the task, the hierarchy, or the interaction model. A suitable prompt is: “List the assumptions you have made about the user, the task, the hierarchy, and the interaction model.” Claude will likely generate a summary of the context, the task, and certain decisions, allowing you to identify any gaps in the AI's understanding.