> 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/undefined-1.md).

# 로드맵

<table><thead><tr><th width="115.5625">기간</th><th>주요 마일스톤</th></tr></thead><tbody><tr><td>2025 Q3</td><td>Tikkly MVP 개발 완료, 3개 이상 파트너사와 기술 연동</td></tr><tr><td>2025 Q4</td><td>Tikkly 정식 런칭, InfoFi 플랫폼 백서 공개</td></tr><tr><td>2026 H1</td><td>KLEVA 토큰 주요 거래소 상장, InfoFi 플랫폼 정식 런칭</td></tr><tr><td>2026 H2</td><td>Tikkly 파트너사 20개 이상 확보, AI Agent Reward App MVP 런칭</td></tr></tbody></table>


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# 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/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.