> For the complete documentation index, see [llms.txt](https://dgn-info.gitbook.io/dgn-info-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://dgn-info.gitbook.io/dgn-info-docs/ecosystem/product-overview.md). # Product Overview The DGN product is a bot that seamlessly integrates into Telegram, offering a comprehensive on-chain gaming ecosystem. Peer-to-Peer (P2P) Custom Betting: The core product allows users to set up and participate in competitions with friends without a central authority. Payouts are handled transparently by smart contracts based on a simple ownership ratio model. Decentralized Mini-Games: The bot includes a variety of popular mini-games like poker, blackjack, higher or lower, and custom betting, all designed to be quick, easy, and accessible. On-Chain & Gasless: All games are hosted on a database, This allows the platform to act as "gasless" to eliminate transaction fees and provide a seamless, cost-effective experience. Only pay gas for deposits and withdrawals. User Wallet: The bot facilitates the creation of a digital wallet for each user, allowing for deposits, withdrawals, and tracking of balances for all gaming activities from all groups Admin Functions: Group owners have control over creating, activating, and closing bets, as well as delegating these responsibilities to other admins. --- # 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: ``` GET https://dgn-info.gitbook.io/dgn-info-docs/ecosystem/product-overview.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.