# ClosetChain™: Virtual Try-On as Gameplay ClosetChain™ is the world’s first blockchain-native, AI-powered try-on system, turning fashion and personal care discovery into a social game. * **Multi-Source Input**: Users can select items to VTO from NFT-based Marketplace items, livestream screenshots, URL uploads, or their personal photo albums. * **Try-On Engine**: AI renders the item onto the user’s avatar or uploaded image using advanced pose estimation and style transfer techniques. * **Gamified Prompting**: After each VTO, users are prompted to post the look to their Lookbook, initiate a Yay/Nay poll, or remix the style for a new TasteScore-earning opportunity. Every successful VTO adds to the user’s TasteScore, with bonus points for originality, trend-setting, and community engagement. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.insoblokai.io/whitepaper/gamified-ux-social-try-on-and-interaction/closetchain-tm-virtual-try-on-as-gameplay.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.