Kristofer’s latest project has turned heads across the Internet Computer community. Using Caffeine’s newest feature, he built a complete Art Deco–style team page from a rough wireframe, a downloaded style reference, and a few photos — all interpreted together by the platform’s AI.
This update marks Caffeine’s move into multimodal creation, where users can upload several images or data sources at once. The system now analyses all inputs alongside written prompts, producing more accurate and context-aware results. For creators, it means far greater control over design outcomes without needing professional design skills.
The feature gives builders the freedom to combine structure, style, and visual references in a single creative flow. Instead of crafting lengthy prompts or adjusting outputs repeatedly, they can now shape the end result through a mix of images and text — a workflow that feels more like real collaboration with AI than simple automation.
For Caffeine, which has become a key tool for building on-chain applications through natural language, this release expands its appeal beyond coders to visual creators. By blending image understanding with its existing prompt-based interface, the platform continues to push AI-assisted design closer to real-world usability.
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