> For the complete documentation index, see [llms.txt](https://docs.aloop.icustomer.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aloop.icustomer.ai/how-it-works.md). # How it works - [How the Loop works](https://docs.aloop.icustomer.ai/how-it-works/how-the-loop-works.md): Under the hood, the loop runs as five connected steps. Every step carries the same trace ID — the join key that makes honest, end-to-end measurement possible. - [The orchestrator](https://docs.aloop.icustomer.ai/how-it-works/the-harness.md): The Harness is the orchestrator behind Audience Loop — it reasons over your Intelligence and runs the always-on loop, on request and proactively. - [Meet your AI team](https://docs.aloop.icustomer.ai/how-it-works/meet-your-ai-team.md): The Harness orchestrates a role-based AI team — Sam, Ivy, Angela, Joel, Brandon, Lina, and Mira — across observe, identify, decide, act, and learn. - [Intelligence: what the system knows](https://docs.aloop.icustomer.ai/how-it-works/overview.md): Intelligence is everything Audience Loop knows about your business — the context and memory the Harness reasons over every time it decides. The better your… - [Audience context](https://docs.aloop.icustomer.ai/how-it-works/overview/audience-context.md): Who your audiences are — ICP, buyer personas, audience intelligence, and the business pain areas that drive them. - [Brand & competition context](https://docs.aloop.icustomer.ai/how-it-works/overview/brand-and-competition.md): Your company and brand profile plus the competitive landscape the Harness reasons over. - [Funnel & tags](https://docs.aloop.icustomer.ai/how-it-works/overview/funnel-and-tags.md): Your funnel stages and conversion logic, plus the tags, segments, and signals you organize audiences by. - [Knowledge entries & sources](https://docs.aloop.icustomer.ai/how-it-works/overview/knowledge-and-sources.md): Notes, docs, and URLs you add, and the sources your context is built from. - [Memory & learning settings](https://docs.aloop.icustomer.ai/how-it-works/overview/memory-and-learning.md): What the system learns over time and how to tune it — the closed loop that sharpens every decision. - [Decision Traces: why things happened](https://docs.aloop.icustomer.ai/how-it-works/decision-traces.md): Every action records why it happened — inputs, score, decision, and the outcome it is tied to. --- # 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://docs.aloop.icustomer.ai/how-it-works.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.