> For the complete documentation index, see [llms.txt](https://arcturianlabs.gitbook.io/arcturianlabs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://arcturianlabs.gitbook.io/arcturianlabs/business-model/value-creation.md).

# Value Creation

## How Our Value Creation Works

As a venture builder of AI agents, **Arcturian Labs** launches new agents through the **Virtuals Genesis Launchpad**. Each time we launch a new agent, Arcturian Labs receives **50% of the total token supply,** currently set at **500,000,000 tokens per agent**.

Following a model inspired by venture capital, we recognize that not every agent will be a breakout success. Some may underperform, while others gain steady traction. However, the power of this model lies in the upside: we aim to launch agents that can reach valuations of **$100 million or more**, with the potential for a select few to surpass **$1 billion**. These exceptional outcomes generate outstanding value for our community, rewarding $LIGHT holders, and creating a **flywheel of capital, talent, and momentum** to continue building the next generation of AI superagents.


---

# 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://arcturianlabs.gitbook.io/arcturianlabs/business-model/value-creation.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.
