# Why Greyhunt #### AI Agents × InfoFi Greyhunt deploys LLM-based agents that continuously sweep fragmented sources, cross-reference evidence, and publish machine-readable briefs that plug directly into the decision-making stack. #### Noise-Taming Architecture All signals are scored across multiple dimensions—source depth, freshness, and internal consistency. Only those clearing predefined thresholds are routed to the alert layer, eliminating hype-chained noise without pretending every insight is on-chain-verifiable. #### Perspective, Not Overwhelm Greyhunt isn’t another dashboard to manage. It’s a shift in vantage point—turning dispersed chaos into structured surface. From here, the maze begins to map itself. --- # 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://greyhunt.gitbook.io/greyhunt-docs/why-greyhunt.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.