The mainnet is about to go live, an overview of practical scenarios for @ irys_xyz We all know that @ irys_xyz combines "cheap storage" with "high-speed, EVM compatible execution layer" to form a "programmable data link". Make the data itself 'move' - it can save money, automatically execute rules, and be permanently saved. The main online network is probably not far away now. Let's list a few practical scenarios and tell the community why @ irys_xyz is worth paying attention to? Scenario 1: For example, if you want to train a large language model, you need several hundred GB or even TB level training data (text, images, audio, etc.) Then @ irys_xyz can provide: Putting these massive amounts of data on the chain costs only a fraction of a regular cloud drive. The data itself can carry instructions, such as' only model A can read 'or' automatic billing after reading '. In the future, if you want to reproduce the experiment and compare the results, you can simply search on the link, and no one will delete the data. Scenario 2: You have high-quality annotated data, financial market trends, medical imaging, etc., and want to sell them to those in need Irys can provide: The dataset has a unique ID on the chain, and buyers can search and browse metadata. After the buyer pays the token, the contract automatically grants the buyer download permission, and even charges based on the number of uses. Buyers can verify the hash of the data at any time to ensure that they receive the original data promised by the seller. Scenario 3: A customer service robot, a trading robot, or even a game NPC needs to prove themselves as the "same" trusted entity on different platforms Irys can provide: The public key and metadata of each agent are written in Irys and can be accessed by all platforms. The rating of each interaction, completion time of tasks, success rate, etc. are automatically written into the chain to prevent fraud. After the reputation reaches a certain threshold, the smart contract automatically unlocks higher permissions or rewards. Scenario 4: You have written a complete AI business process (such as "web crawling → text cleaning → sentiment analysis → result uploading") and want other teams to use it directly. Irys can provide: Write down the steps, parameters, and cost models of the entire workflow into the chain. Others only need to pay once to directly execute the same process in their own system. Every time someone uses it, the contract will directly transfer the agreed royalties to the template author. Scenario 5: Artists, musicians, and content creators write the metadata of their works (author, copyright information, and distribution ratio) onto the chain, hoping to have the platform automatically distribute the revenue. Irys can provide: The unique hash and copyright information of the work are permanently stored as proof. Every time a work is used (played, downloaded, or re created), the contract automatically transfers a predetermined percentage of tokens to the author. No matter which DApp the work is consumed on, the rules on the chain will take effect. I believe there are still many application scenarios that cannot be listed here. Simply summarize the above chart Seeing this, it goes without saying why Irys is worth paying attention to. @The advantages of irys_xyz are too great, so it has attracted well-known projects such as Mira and 375ai to cooperate with it. @Irys_xyz turns "data" into a "dynamic asset" - saving money, permanently, programmable, enabling AI development, enterprise compliance, creator sharing, and cross platform collaboration to be automatically, reliably, and readily accessible. In this way, we only need to hand over the things we want to save or trade to Irys, and the subsequent storage, permissions, settlement, and auditing are all handled by on chain smart contracts, which is worry free and effortless. Finally, looking forward to the main website, it's not far away. Friends, continue to follow.