# Background AI systems are only as good as the data they learn from. The most valuable inputs are not static datasets, but live signals - what happened, when it happened, and whether the event is trustworthy. Today these signals are spread across online platforms and on-chain activity, fragmented across sources, and increasingly polluted by spam, bots, and synthetic behavior. Teams building AI, analytics, and automation face the same bottlenecks: \ (1) Inconsistent schemas\ (2)Unclear provenance\ (3)Low reproducibility\ (4)Weak integrity guarantees Users and partners also need clear consent boundaries for online sources, and auditability for high-stakes use cases. --- # Agent Instructions: 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://zeni.gitbook.io/zeni/about-zeni/background.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.