# Welcome ![](/files/DQZFaDRN0DpVkxnPC34J) ## Quick Take AIRTIST is an **Al-based NFT creation platform**, supporting a series of functions such as digital artist training, artwork creation, distributed storage, NFT minting and auction. At the same time, it integrates important areas such as **NFT, Metaverse, AI,** etc. In AIRTIST, the generative adversarial networks (GANs) allows users to create their own digital artists using datasets from existing art pieces (in digital form) of contemporary or deceased famous artists. Once trained, users can then mint their AI Artists in software format on a Blockchain as Artist non-fungible tokens (NFTs). Similarly, users can also use their AI Artists to generate specific digital artworks, which can then be minted on the Blockchain as Artwork NFT. The primary goal of AIRTIST is to democratise the creation and monetisation of digital art by leveraging artificial intelligence (AI) and Blockchain. The platform liberalises the ownership of digital arts by allowing users to create their own AI Artists and artworks and using Blockchain’s inherent properties (transparency, security, and immutability) to store their arts. Our mission is to decentralize the ownership of digital arts, allowing artists or novices to create, share, and monetise their creations. AIRTIST will be built atop two Blockchains: MATRIX for training the AI Artist and creation of AI Artwork, and Ethereum for minting and trading Artist NFTs and Artwork NFTs. The platform will be powered by AIRT— an ERC-20-based token standard that governs and incentivizes positive actions. --- # 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://airtist.gitbook.io/product-docs/getting-started/welcome.md?ask= ``` 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.