Core Insights - The article discusses the exploration and evaluation of AI products in practical scenarios, focusing on the design of a brand IP image using AI technology [1][3] - It highlights the strategy of brand personification adopted by eight leading AI companies, revealing their unique brand identities [3][4] Experiment Overview - The company aims to unlock another usage scenario for AI by finding a universal method for market departments [5] - The experiment involves a comprehensive testing process that spans text and visual elements, emphasizing the importance of context in AI execution [6] Design Process - The core challenge is to evolve from understanding to reconstruction, involving three rounds of design iterations [7] - The AI models used include Google Gemini 3 Pro, Claude Sonnet 4.5, and GPT-5.1, which analyze text data to extract brand personality and create visual prompts [8] Iteration Rounds - **Round 1**: AI generates designs without visual references, relying solely on text understanding [9] - **Round 2**: Specific IP references are introduced to test AI's imitation and fusion capabilities, but it leads to overfitting and a lack of originality [30][31] - **Round 3**: The focus shifts to style guidance, allowing AI to learn from different visual styles and integrate them with the brand's core identity, resulting in clearer and more coherent designs [36][48] Final Insights - The experiment concludes that providing a clear visual context is more effective than specific character references in stimulating AI creativity [50] - The final design of the brand IP will be determined by the collective aesthetic preferences of entrepreneurs and readers, inviting community participation in the design process [52][54]