> For the complete documentation index, see [llms.txt](https://bagg.gitbook.io/whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://bagg.gitbook.io/whitepaper/about-bagg/problem-or-solution.md). # Problem | Solution ### PROBLEM * Big Learning Curve between traditional and Web3 gaming * Weak GameFi due to unengaged Player * Difficulties for games to enter into the GameFi space * Limited Revenue stream for Traditional eSports ### SOLUTION * BAGG is creating a gaming ecosystem that connects various groups within the gaming industry. * The ecosystem aims to facilitate the adoption of web3 gaming. * BAGG will be integrating eSports elements into GameFi and combining web3 components and revenue streams with the eSports industry. * The goal is to provide more competitive game modes for players while ensuring security and fairness through decentralized blockchains. * The combination of GameFi and eSports will bring new economic models enabled by decentralized blockchains. --- # 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://bagg.gitbook.io/whitepaper/about-bagg/problem-or-solution.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.