> For the complete documentation index, see [llms.txt](https://docs.airpuff.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.airpuff.io/product-airdrop/air-con/air-booster.md). # Air Booster **Air Booster** is a mechanism designed to create a robust bribing ecosystem within our platform, offering an extra boost to $APUFF points with a maximum 7x boost. This system consists of three key elements: **Base Booster**, **TVL Booster**, and **Matching Booster**. Each element plays a distinct role in amplifying rewards for our users.\ \ **Air Booster = Base Booster + TVL Booster + Matching Booster** **Base Booster:** This foundational element initializes reward mechanisms in new containers before significant Total Value Locked (TVL) or multipliers are established. It acts as the initial spark for more dynamic boosts. Every Air-con vault starts with a 1x Base Booster, and veAPUFF holders can vote on Base Booster settings up to 2x, directly influencing the bribing mechanisms and enhancing their strategic impact. **TVL Booster:** This booster is directly connected to the TVL of a specific container, with a maximum 3x boost. The principle is simple: the more assets a container holds, the more negotiation power it has. This increased power allows us to secure more substantial rewards and incentives from our partners, enhancing the overall value proposition for our users. 1M - 3M TVL = 1x Booster 3M - 10M TVL = 1.5x Booster 10M TVL = 2.5x Booster **Matching Booster:** The Matching Booster serves as a direct incentive for underlying protocols/chains, functioning as a **strategic bribe**. It encourages these entities to provide additional rewards to our containers, which we will match with $APUFF points, up to a maximum of 3x. When combined with the Base and TVL Boosters, the Matching Booster creates a flywheel effect, benefiting both the protocol/chain and its users through enhanced rewards and engagement. --- # 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.airpuff.io/product-airdrop/air-con/air-booster.md?ask=&goal= ``` `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.