# Additional Resources Sources Referenced The insights, guidelines, and examples provided in this playbook were informed by a combination of industry experience, case studies, and publicly available data from various reputable sources, including: * Messari Research: [messari.io](https://messari.io/) * Token Terminal: [tokenterminal.com](https://tokenterminal.com/) * Delphi Digital: [delphidigital.io](https://www.delphidigital.io/) * Ethereum Foundation: [ethereum.org](https://ethereum.org/) * CoinDesk: [coindesk.com](https://www.coindesk.com/) * Crypto Valley Association: [cryptovalley.swiss](https://cryptovalley.swiss/) * Various blockchain project documentation: Polkadot, Cosmos, Olympus DAO, RealT, and Hyperliquid. These resources provide additional depth and validation to the strategies outlined throughout the playbook. For further learning, exploration, and support, readers may consider the following resources: * Tokenise Platform: For hands-on tokenomics tools and advanced simulation capabilities, visit the official [Tokenise website](https://www.tokenise.tech/). * Industry Reports and Insights: Regularly updated reports from reputable blockchain and cryptocurrency research organizations, such as Messari, Token Terminal, and Delphi Digital. * Regulatory Resources: Stay informed about the latest regulatory changes by consulting official government and financial regulatory websites relevant to your project's jurisdiction. * Community Engagement: Join blockchain, crypto, and tokenomics communities on platforms like Discord, Telegram, and Reddit for ongoing support, discussions, and networking. --- # 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://playbook.tokenise.tech/appendix/additional-resources.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.