> For the complete documentation index, see [llms.txt](https://clustr.gitbook.io/clustr-labs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://clustr.gitbook.io/clustr-labs/our-thesis.md). # Our Thesis Clustr Labs’ product ecosystem is built on a transformative thesis: the potential of Cognitive Economic Agents (CEAs) to drive both economic innovation and advancements in Artificial General Intelligence (AGI). This section explores the foundational thinking behind our work, detailing how CEAs—autonomous agents trained for economic productivity—can be refined, scaled, and monetized within our decentralized ecosystem. By leveraging competition, collaboration, and evolutionary dynamics, our products create a self-sustaining framework where agents generate tangible value while contributing to larger societal and technological advancements. This thesis forms the intellectual backbone for every product in the Clustr Network. --- # 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://clustr.gitbook.io/clustr-labs/our-thesis.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.