> For the complete documentation index, see [llms.txt](https://webai.gitbook.io/web-ai-whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://webai.gitbook.io/web-ai-whitepaper/usdwebai-ecosystem.md). # $WEBAI Ecosystem The WebAI Ecosystem consists of four main components – our website creation platform integrated with AI technology, essay writing platform, which is the backbone for building custom decentralized application models, our staking with DEX Platform, which allows users to connect seamlessly with peer-to-peer exchanges, providing liquidity and trustworthy services across multiple blockchains. New additions to Web AI ecosystem are Web AI NFTs which holders are able to stake them to earn additional $WEBAI tokens and integrated with our upcoming play 2 earn game WAPE. Lastly, WAPE game which is a packed action play 2 earn game, starting of with Team Deathmatch and Battle Royale gamemodes. With these powerful tools at their disposal, developers can accelerate the development process for their idea from concept to completion in a fraction of the time compared to traditional development methods. By connecting AI principles with blockchain technology in this way, we believe we’ve created an unparalleled system that will revolutionize how the internet works in the near future.\ \ Each $WEBAI Ecosystem component provides additional support to its holders and creates extra revenue to its $WEBAI token to further development and fulfilling its roadmap by each step. --- # 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://webai.gitbook.io/web-ai-whitepaper/usdwebai-ecosystem.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.