# Monetization AKEDO presents a complete suite of commercialization tools designed to ensure that creators earn a fair share of revenue. ### Creator Economy and Rewards AKEDO.AI empowers creators by letting them generate content easily, producing unique data that generic AI models can’t match. We reward players and creators with a token-based system for making content and playing games. This builds a fair ecosystem on BNB Chain, encouraging more people to join, create, and earn while growing the platform. ### Token Issuance * **Game Tokens**: Upon finishing a game, creators can opt to issue game-specific tokens with a single click. These tokens use a tailored bonding curve system, facilitating optimal early-stage price discovery. * **Game Collection Tokens**: Creators can build a **Game Collection**, committing to continuously develop new games within the collection. A dedicated token can be issued for the collection, which will be usable across all games in the collection — including future titles. As creators continue to expand the Game Collection, they also add more utility and value to the associated token. ### Revenue Streams * **Advertising Revenue**: Creators benefit from in-game advertisement revenue through a revenue-sharing model. * **$AKE Revenue Sharing**: Furthermore, a portion of the $AKE tokens earned and spent by players in each game is shared with the respective game creator, ensuring continuous incentives for quality content development. --- # 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://akedo-1.gitbook.io/akedo-whitepaper/explore-akedo/monetization.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.