> For the complete documentation index, see [llms.txt](https://docs.kaizo.tech/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.kaizo.tech/kaizo-documentation.md). # KAIZO Documentation KAIZO is not just another chatbot. It is a purpose-built, autonomous intelligence designed for the dynamic and unpredictable environments of decentralized culture. At its core, KAIZO is a hyper-personal AI system powered by a custom-trained Large Language Model that interacts with users across multiple channels, understands real-time blockchain data, and evolves with each interaction. Born from the chaotic energy of Web3, KAIZO is trained on everything from meme markets to smart contract logs. It understands crypto slang, recognizes your wallet behavior, and replies with tone and intent. Whether you’re a seasoned degen navigating BONK staking strategies or a newcomer asking questions on X, KAIZO meets you in your moment — delivering sharp, context-aware responses that blend Japanese flavor with cybernetic precision. But KAIZO goes beyond replies. It connects to live on-chain data to analyze your digital footprint. It protects privacy with Zero-Knowledge identity systems. It uses gamification mechanics to reward interactions. Every message, every wallet, every on-chain action — interpreted, scored, and responded to, in real time. This is not a plug-and-play bot. This is an adaptive intelligence engine designed for a decentralized world. Whether you deploy it on social media, integrate it with dApps, or build missions through its XP engine, KAIZO is modular, extendable, and always running. It’s not only reading the data. It’s reading you. --- # 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://docs.kaizo.tech/kaizo-documentation.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.