> For the complete documentation index, see [llms.txt](https://docs.recircuit.xyz/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.recircuit.xyz/use-cases/private-assets.md).

# Private Assets

ReCircuit revolutionizes the financial management of private assets by addressing the inefficiencies and opacity that currently plague the process. Below is a streamlined agentic workflow that begins with the creation of a data room and culminates in an investable tokenized commercial framework.

1. **Engagement of Research Agent**: The investment originator initiates the process by engaging a research agent to assist in the creation of a comprehensive data room for the investment.
2. **Data Room Augmentation**: The research agent enhances the data room by sourcing and compiling detailed information pertinent to the investment deal.
3. **Structuring by Origination Agent**: The investment originator then collaborates with an origination agent who structures the gathered information into a coherent investment hypothesis, including the investment structure and terms.
4. **Legal Documentation**: A legal agent is brought in to identify the appropriate legal clauses and generate the necessary investment documents, agreements, or memoranda.
5. **Tokenization Process**: A tokenization agent converts the legal agreement and payment flows into a JSON representation and subsequently mints the corresponding tokens.
6. **Financing and Fund Dissemination**: The owner finances the investment and disseminates funds according to the agreement, based on predefined milestones.
7. **Quality Control and Milestone Verification**: Quality control agents ensure that the milestones are achieved, triggering on-chain payments as stipulated in the agreement.

This enhanced workflow not only improves efficiency but also brings transparency and precision to the management of private assets, making the investment process more streamlined and reliable.


---

# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.recircuit.xyz/use-cases/private-assets.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.