> For the complete documentation index, see [llms.txt](https://taunt-token.gitbook.io/usdtaunt-token-litepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://taunt-token.gitbook.io/usdtaunt-token-litepaper/tauntai-products.md). # tauntAI Products #### Battleworld — Prediction Markets Meets Competitive Gaming Battleworld is tauntAI's proof-of-concept game and the most immersive expression of prediction market mechanics in the ecosystem. A digital collectible fighting game built for the metaverse, Battleworld lets players compete in PvP tournaments while viewers place predictions on match outcomes — creating a live prediction market around every fight. **Core mechanics:** * **Fight (PvP)** — Compete in tournaments and earn $TNT and digital collectibles based on performance * **Predict** — Viewers stake positions on match outcomes, earning $TNT for correct calls * **Watch** — Passive engagement is rewarded; even observation feeds the economy * **Train** — Improve fighter performance through mini-games that influence future match odds Battleworld demonstrates the full potential of the tauntAI stack: a live event, a prediction market, and a token economy — all running in the same environment simultaneously. #### Battleworld: Tap Rush Tap Rush is a Telegram-based entry point into the Battleworld ecosystem. Players defeat bosses, earn Skulls, and convert them to $TNT — introducing prediction and reward mechanics in an accessible, mobile-first format. [Play Now → t.me/battleworld\_app\_bot](https://t.me/battleworld_app_bot) --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://taunt-token.gitbook.io/usdtaunt-token-litepaper/tauntai-products.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.