> For the complete documentation index, see [llms.txt](https://whitepaper-old.steakhut.finance/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper-old.steakhut.finance/getting-started/liquidity/concentrated-reward-farms-boost.md).

# Concentrated Reward Farms (Boost)

## What are Concentrated Reward Farms?

Concentrated Reward Farms allow liquidity providers to earn bonus rewards for providing liquidity. With SteakHut Liquidity it becomes possible to incentivize liquidity providers with reward farms, just like what was possible on Trader Joe's V1 pools.

Users stake their SH LB tokens and earn bonus reward tokens.&#x20;

## Benefits of Yield Farming

* Yield Farming can be a lucrative way to earn extra rewards from bonus tokens
* Improve your assets capital efficiency by utilizing Idle tokens sitting in your Wallet
* Helping to support deep, efficient liquidity to token pairs across Web 3&#x20;

## Partnering with protocols across Web3 <a href="#dcf6" id="dcf6"></a>

SteakHut is looking to partner with protocol across Web3 to help create deep concentrated liquidity for their tokens and bring JUICY rewards to liquidity providers.

With SteakHut Liquidity, protocols can easily set up rewards to pay out to their farmer.


---

# 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://whitepaper-old.steakhut.finance/getting-started/liquidity/concentrated-reward-farms-boost.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.
