> For the complete documentation index, see [llms.txt](https://channelroute-ai.gitbook.io/channelroute-ai-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://channelroute-ai.gitbook.io/channelroute-ai-docs/live-human-detection/live-human-detection.md). # Live Human Detection ## Live Human Detection Live-human detection is one of the first decision points in the ChannelRoute AI workflow. In outbound communication, a connected call does not necessarily mean meaningful contact. Calls may reach voicemail, an IVR system, a busy line, a fax tone, background audio, or another automated endpoint. Detecting a live person early allows the system to make better routing decisions. Rather than treating every answered call the same, ChannelRoute AI explores methods for estimating whether a real conversation is possible before additional time is invested. Areas of interest include: * Live-human detection * Voicemail identification * Interactive voice response (IVR) detection * Early call classification * Communication workflow optimization * Human-in-the-loop decision support The goal is not simply to automate outbound communication. The objective is to help people spend more time speaking with the right person and less time navigating calls that cannot lead to a productive conversation. --- # 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://channelroute-ai.gitbook.io/channelroute-ai-docs/live-human-detection/live-human-detection.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.