# Getting Started

**Overview**

Bitcino is the first sentient AI casino software provider to be integrated into a fully functional casino and sportsbook — built to revolutionize decentralized gaming and investment. Beyond operating its own platform, Bitcino offers white-label software to partner brands, enabling them to launch their own AI-powered casinos. The AI agent will soon manage staking pools and autonomously optimize platform operations. By leveraging profits from both its own live casino and fees generated from partner platforms, Bitcino delivers a powerful value proposition to its ecosystem.

**What is Bitcino?**

Bitcino is a pioneering token on the Solana blockchain that utilizes a profit-sharing model to ensure continuous value appreciation for its holders.&#x20;

**How Bitcino Works**

Bitcino reinvests Casino and Sportsbook profits to replenish the staking pools and buy back the $AIBET token. This happens at intervals that the AI agent deems most optimal. This reduces the circulating supply of the token and perpetuates the longevity of the $AIBET ecosystem.

**Key Features**

* Profit Sharing and Buyback: A percentage of profits are used for staking pools and token buyback.
* Comprehensive Gaming Platform: Access to over 10,000 games, live sports betting, leverage trading, and prediction markets.
* Instant deposits and withdrawals to a variety of supported blockchains and web3 wallets.
* Airdrop for users based on loyalty point accruement.
* Airdrop multipliers for longer term stakers.
* Privacy and Security: No KYC required, secure registration.
* Revenue-Sharing Token Model: The $AIBET token captures value not only from Bitcino’s own casino and sportsbook, but also from fees generated by third-party brands that white-label the Bitcino software — creating a multi-platform revenue stream for token holders.

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# Agent Instructions: Querying This Documentation

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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.bitcino.com/introduction/getting-started.md?ask=<question>
```

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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.
