Coding & Development Description
This prompt instructs an AI to analyze provided visual inspiration (such as UI fragments, moodboards, concept art, product photos, etc.) and translate them into detailed, high-value product feature ideas.
The model must interpret visuals not by style alone, but by extracting implied structure, interaction patterns, metaphors, and user experience cues. It then identifies potential user goals and problems (while clearly marking assumptions) and generates actionable product features grounded in real user value.
For each generated feature, the AI must provide a name, description, the user problem it solves, how it works, why it’s valuable, and relevant interaction/UX details.
The output also includes prioritization guidance, indicating which features are high-impact or core, which are experimental, and which belong in an MVP versus future iterations.
The final answer must follow a structured format with four sections: visual inspiration summary, extracted experience patterns, detailed feature ideas, and prioritization/next steps.
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