> For the complete documentation index, see [llms.txt](https://whitepaper.1hub.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.1hub.ai/present-situation/solution.md). # Solution The present evolution of AI technology into something interwoven with daily life as much as computers and smartphones has led itself to a point where loose ends need to be tied up – Now, the next step must be one of interconnection, putting together what belongs together. 1Hub.ai is developing a web service to fulfill this goal, and aims to establish a vital cornerstone in mainstream AI integration by rolling out the innovative concept of “AI aggregation”. The service maximizes ease-of-use and accessibility, while being as comprehensive and elaborate as necessary. The 1Hub.ai base platform integrates multiple AI services into one single user-friendly dashboard interface, accounted and billed in just one single instance. Instead of paying multiple subscription fees, users can simply buy credits on the 1Hub.ai platform, and get access to a wide range of popular AI services. By significantly lowering the entrance barrier, 1Hub.ai allows users to try different AI services simultaneously, maximizing innovation and productivity while minimizing cost. Documentation and tutorials are provided for the platform and all offered AI services. With multiple AI services now united in one system, exploring the possibilities of AI combination becomes a self-evident thing. The 1Hub.ai platform enables users to combine AIs through an easy-to-use interface, at the click of a button. --- # 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://whitepaper.1hub.ai/present-situation/solution.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.