Summary: AI tools make it feasible to build fully interactive prototypes of complex interfaces so you can test them with users earlier in the design process.
Complex interfaces like filters , dashboards , and conversational AI have many possible states and can be tedious to prototype by hand. Before AI tools were available, most teams would test a simple prototype that covered only a few happy paths and wait until developers built the product to see how users interacted with it. With AI tools, teams can now build realistic prototypes and test them before deployment.
For less complex interfaces , static prototypes are still useful for answering many research questions. However, when an interface is complex, AI prototyping tools make it easier to build high-fidelity, interactive prototypes that closely resemble the real product.
Interactive Prototypes, FastAI tools bring speed to the design process, enabling designers to create a realistic working prototype in a day. Incorporating realistic participant data, numerous states, complex filtering, and AI-generated responses is now available early in the design process. This means you can test with users earlier, more often, and iterate on what you learn from research. Let's look at some case studies of AI prototyping.
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