Generative AI

MG Motors. Generative AI in service of live experience.

Stage One, catch the Attention

Creative AI tools often fail at the starting point. A blank input field can feel intimidating, especially for first-time users. To avoid this, the standby screen showcased a looping gallery of example generations. These visuals showed what was possible, sparked ideas, and made the system feel accessible before anyone typed a word.

Stage two, Engage

The first interaction began with a initial CTA that opened the creation interface. A large input field in a center was designed to capture intent quickly and with minimal effort. Since most users struggle to craft detailed prompts, we supported the input with predefined style selections. These added structured visual direction to the prompt, allowing users to refine results without needing prompt-engineering skills.

A bold preset called “Crazy” emphasized humor and unexpected results. It encouraged the first interaction to feel playful and exploratory, reducing pressure and producing visually wild outputs right away.

Lower the Entry Bar

To make starting even easier, interface included a Randomizer. With one click, the system generated a seed and a starter prompt that users could tweak and run. It gave people a way in without overthinking. The feature subtly demonstrated how prompts and styles interact, helping users move from curiosity straight to iteration.

Encourage exploraion

Generative outputs rarely feel perfect on the first try. To support exploration, we introduced Regenerate and Edit options. Regenerate kept the same prompt but changed the seed, producing new variations. Edit allowed users to refine their prompt while maintaining consistency. Together, these tools balanced surprise with control and encouraged users to keep experimenting.

Final stage, take it with you, or share

Generative outputs rarely feel perfect on the first try. To support exploration, we introduced Regenerate and Edit options. Regenerate kept the same prompt but changed the seed, producing new variations. Edit allowed users to refine their prompt while maintaining consistency. Together, these tools balanced surprise with control and encouraged users to keep experimenting.

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