> For the complete documentation index, see [llms.txt](https://peakai.gitbook.io/whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://peakai.gitbook.io/whitepaper/peakai-ai-powered-distribution-os.md). # PeakAI: AI-Powered Distribution OS PeakAI is AI-powered distribution OS that connects brands with high-performing creators through intelligent matching and performance-based compensation. The platform offers Flash Tasks for rapid user acquisition and Ascent Campaigns for sustained content marketing across TikTok, YouTube, Instagram, and X. Integrated analytics provide real-time visibility into creator performance and campaign effectiveness. Powered by proprietary KINDLE and SPARK scoring systems, PeakAI ensures marketing budgets flow to creators and content that drive actual engagement—not estimated reach. Better content gets better visibility. Fair compensation follows real contribution. --- # 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://peakai.gitbook.io/whitepaper/peakai-ai-powered-distribution-os.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.