> For the complete documentation index, see [llms.txt](https://shoebillh.gitbook.io/shoebill-h/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://shoebillh.gitbook.io/shoebill-h/autonomous-ai.md). # Autonomous AI An AI Agent is a system designed to perform specific tasks or make decisions within a defined environment, relying on human input or predefined rules. It operates with limited autonomy, executing actions based on fixed programmed instructions. An AI Autonomous Agent, in contrast, has greater independence and self-governance, capable of setting its own goals, learning from its environment, and making decisions without intervention. The key difference lies in autonomy: AI agents are task specific and human dependent, while autonomous agents proactively adapt and act with minimal oversight. Practically this means e.g. there is no fixed code indicating when to start a routine to cleanup data, when to lookup new data, when to make a post, what post to reply to etc. The reasoning LLM is the brain that uses his reasoning skills to decide what to do , when to do, taking into account its environment and constraints with the goal of reaching his goal : obtaining information, sharing information and growing a following on twitter. --- # 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: ``` GET https://shoebillh.gitbook.io/shoebill-h/autonomous-ai.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.