> For the complete documentation index, see [llms.txt](https://docs.ambientagi.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ambientagi.ai/the-problem.md). # The Problem Current AI agents require manual input and lack proactive behavior. Key issues include: * **Limited Autonomy:** Many existing agents rely on constant user input and cannot act independently based on events or triggers. * **Inefficient Notifications:** Systems like Telegram signals are outdated and often require users to interpret and act on data manually. * **Token Saturation:** The market is flooded with meme coins and tokens that lack meaningful utility, leaving users with little incentive to engage with them. * **Data Integration Challenges:** AI agents often struggle to dynamically incorporate real-time data from diverse sources like social media, blockchain transactions, and market trends. [Ambient AGI](https://www.ambientagi.ai/) addresses these limitations by enabling event-driven agents that act autonomously based on on-chain activity, social media events, and more, providing a comprehensive and proactive solution." --- # 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.ambientagi.ai/the-problem.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.