To maximize creative exploration ("diverging"), don't rely on one tool. Run the same open-ended "explore" prompt in several different AI prototyping tools. Each tool's unique system prompts will yield surprisingly different design directions, giving you a wider range of ideas to evaluate.
Standard AI coding tools force a linear A-to-B iteration process, which stifles the divergent thinking essential for design exploration. Tools with a 'canvas' feature allow designers to visualize, track, and branch off multiple design paths simultaneously, better mirroring the creative process.
Instead of creating multiple static mockups, prompt the AI to build a widget directly into a prototype that allows clicking through different design styles. This provides a live, interactive way to evaluate options within the actual user interface.
To avoid generic brainstorming outcomes, use AI as a filter for mediocrity. Ask a tool like ChatGPT for the top 10 ideas on a topic, and then explicitly remove those common suggestions from consideration. This forces the team to bypass the obvious and engage in more original, innovative thinking.
To break out of a linear design path, use AI tools that can generate multiple, distinct design options from a single prompt or command. For example, Magic Patterns’ '/inspiration' command produces four variants, allowing for rapid brainstorming and side-by-side comparison of different approaches.
Instead of asking AI to perfect one animation, MDS prompted it to "create five vastly different hover effects." This divergent approach uses AI as a creative partner to explore the possibility space, revealing unexpected directions you might not have conceived of on your own.
Leverage AI as an idea generator rather than a final execution tool. By prompting for multiple "vastly different" options—like hover effects—you can review a range of possibilities, select a promising direction, and then iterate, effectively using AI to explore your own taste.
AI often generates several good ideas across multiple prototypes. Instead of recreating them manually, use a tool like Subframe that allows you to directly drag and drop components from one AI-generated variant into another. This 'kitbashing' approach accelerates the creation of a polished design.
AI tools can drastically increase the volume of initial creative explorations, moving from 3 directions to 10 or more. The designer's role then shifts from pure creation to expert curation, using their taste to edit AI outputs into winning concepts.
When exploring UI solutions, use a tool like Magic Patterns and its "Inspiration Mode" to generate multiple, distinct design approaches from a single prompt. By asking the AI to "think expansively and make each option differentiated," product managers can quickly explore a wide solution space and avoid getting stuck on a single initial idea.
Treat generative AI not as a single assistant, but as an army. When prototyping or brainstorming, open several different AI tools in parallel windows with similar prompts. This allows you to juggle and cross-pollinate ideas, effectively 'riffing' with multiple assistants at once to accelerate creative output and overcome latency.