> For the complete documentation index, see [llms.txt](https://docs.kleva.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.kleva.io/kr-2025-08/kleva-ai-1/undefined-1.md).

# 최적화 레이어

자산을 최적으로 배분하고 활용하는 계층으로, 이미 자산화된 정보들을 AI Agent를 활용하여 사용자의 목표에 맞게 관리하고, 보상하고, 활용하는 단계입니다. 이 계층에 대해서는 점진적으로 제시될 것입니다.

<figure><img src="/files/8foz8sbW8E8ExKHl3RvK" alt=""><figcaption></figcaption></figure>


---

# 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.kleva.io/kr-2025-08/kleva-ai-1/undefined-1.md?ask=<question>&goal=<endgoal>
```

`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.