# $LVLQ Token Model

$LVLQ operate under a rather simple but clever model aiming to bolster the projects longevity and token economy. LevelQ aim to operate under a governance minimized model, where vault can be functionnal without requiring constant input from DAO and voting. Furthermore, the token model will aim to automate all system to the maximum extent. 

Below are the major system parts of the token model.

{% content-ref url="/pages/hRR4losbZNkmuaNlBWve" %}
[Staking](/lvlq-token/levelq-finance-token/usdlvlq-token-model/staking.md)
{% endcontent-ref %}

{% content-ref url="/pages/pCr1Uszf81Ns1g2HD4xX" %}
[$IQ points system](/lvlq-token/levelq-finance-token/usdlvlq-token-model/usdiq-points-system.md)
{% endcontent-ref %}

{% content-ref url="/pages/KOIxvGH9efthpbDZdtis" %}
[Voting/Governance](/lvlq-token/levelq-finance-token/usdlvlq-token-model/voting-governance.md)
{% endcontent-ref %}

{% content-ref url="/pages/0si9LaDN7UnhZWzPdoga" %}
[Fee share](/lvlq-token/levelq-finance-token/usdlvlq-token-model/fee-share.md)
{% endcontent-ref %}


---

# Agent Instructions: 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:

```
GET https://docs.levelq.finance/lvlq-token/levelq-finance-token/usdlvlq-token-model.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.