> For the complete documentation index, see [llms.txt](https://aicraft-fun.gitbook.io/aicraft.fun/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aicraft-fun.gitbook.io/aicraft.fun/case-study-partnership-fizen-super-app/value-proposition.md). # Value Proposition At its core, the aiCraft–Fizen partnership is about real-world impact: * For Fizen: The integration of AI Agents directly into their Super App addresses a critical pain point—providing high-quality, consistent travel assistance that enhances user loyalty and operational efficiency. Fizen can now offer a service that combines automation with personalized, expert insights, ensuring a competitive edge in the travel market. * For Creators: The model empowers travel experts to translate their knowledge into a scalable, revenue-generating asset. Instead of navigating the complex landscape of AI development on their own, creators receive a turnkey solution that lets them focus on what they do best—curating and delivering exceptional travel advice. This collaboration not only recognizes their expertise but also rewards it through a system that supports ongoing income growth. Additionally, by tokenizing their AI Agents, creators can share ownership with their community, fostering collaborative growth and aligning incentives for long-term success. --- # 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://aicraft-fun.gitbook.io/aicraft.fun/case-study-partnership-fizen-super-app/value-proposition.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.