> 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/concepts.md). # Concepts - [Core concepts](https://docs.aloop.icustomer.ai/concepts/core-concepts.md): The ten ideas the platform is built on, in the order the loop uses them. - [System architecture](https://docs.aloop.icustomer.ai/concepts/system-architecture.md): How iCustomer Platform is put together: iHarness running the loop on your Growth Brain, the five layers underneath, and the four rules that keep your systems yours. - [Context and memory](https://docs.aloop.icustomer.ai/concepts/context-and-memory.md): What the system knows and what it has learned: sources, precedence, and why what you say always wins. - [Decisions and traces](https://docs.aloop.icustomer.ai/concepts/decisions-and-traces.md): The decision is the unit of work, and the trace is its receipt. What counts as a decision, and what a trace records. - [Data flow and trace spine](https://docs.aloop.icustomer.ai/concepts/data-flow.md): The trace spine: five streams, one trace ID, and where your data lives. - [Surfaces](https://docs.aloop.icustomer.ai/concepts/surfaces.md): One engine, many doors: the app, Slack, email, and the agent-facing surfaces. - [Worked example](https://docs.aloop.icustomer.ai/concepts/worked-example.md): One arc, end to end: a cold account comes back, and the loop turns it into a meeting, with receipts. --- # 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/concepts.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.