# Summary Table: Gamified UX Mechanics | **Feature** | **Functionality** | **Innovation** | | ---------------------- | ----------------------------------------------------------- | ---------------------------------------------------------- | | ClosetChain™ VTO | Try on tokenized fashion/personal care in AR or static form | AI-powered personalization + blockchain-verified inventory | | Yay/Nay Voting™ | Community rates style choices in real-time polls | XP-based consensus & trend signaling | | Swipe-to-Earn™ | Rapid content discovery + low-friction rewards | Micro-actions drive macro reputation gains | | Peer Chats + Emoji/GIF | Private, encrypted social layer with commerce hooks | Emotional expression meets commerce + security | | TasteScore™ Reputation | Aggregates actions into on-chain, soulbound reputation | Decentralized influence system with XP and governance ties | CommentShare feedback on the editorInSoBlok AI doesn’t treat gamification as a gimmick-it builds it as **core protocol logic**. Every interaction is a signal. Every choice is a vote. Every piece of style, taste, or community collaboration contributes to a living reputation layer. --- # 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/summary-table-gamified-ux-mechanics.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.