> For the complete documentation index, see [llms.txt](https://azen-protocol.gitbook.io/azen-gitbook/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://azen-protocol.gitbook.io/azen-gitbook/azen-protocol/application-and-use-cases.md).

# Application and use cases

<table data-full-width="true"><thead><tr><th width="236.39996337890625">Use Case</th><th width="223">Tokenized Asset Type</th><th>aZen Protocol Value</th></tr></thead><tbody><tr><td>Decentralized AI Training &#x26; Inference</td><td>AI Models (dfNFTs)</td><td>Low-cost, scalable compute power for AI services</td></tr><tr><td>Web3 AI dApp Execution</td><td>Applications (dfNFTs)</td><td>Decentralized hosting &#x26; execution of AI-driven dApps</td></tr><tr><td>Composable DePIN Services</td><td>AI &#x26; Computation (dfNFTs)</td><td>Scalable, decentralized AI &#x26; computational infrastructure</td></tr><tr><td>AI-driven Smart Contracts</td><td>Smart Automation</td><td>AI-enhanced decision-making for smart contract execution</td></tr><tr><td>Decentralized AI Gaming &#x26; Metaverse</td><td>AI-driven Assets</td><td>NFT-based AI agents powering game worlds</td></tr><tr><td>Decentralized Data Collection for AI</td><td>AI Training Data (dfNFTs)</td><td>Trustless, privacy-preserving AI data pipelines</td></tr></tbody></table>