# Blockchain Layer #### Blockchain Layer Introduction The Blockchain Layer is the bedrock of the Deworker protocol, offering a secure and scalable environment for the operation of AI services and user interactions. This layer leverages the robustness and security of established public blockchain networks such as Solana, ETH, and Base, ensuring that the Deworker protocol can handle the complex computations and data transactions required for AI operations. The Blockchain Layer is designed with future-proofing in mind, capable of adapting to the evolving needs of the Deworker protocol. As the network grows and new features are introduced, this layer can scale to accommodate increased transaction volumes and user demands. Its decentralized nature ensures that no single point of control can compromise the integrity of the system, providing a level of security that is unmatched in traditional centralized systems. Transparency is a hallmark of the Blockchain Layer. Every transaction and interaction is recorded on a public, distributed ledger, creating an immutable record that can be audited by anyone within the network. This transparency fosters trust among users, knowing that their transactions are secure and that the system is operating as intended. The Blockchain Layer also plays a pivotal role in the governance of the Deworker protocol. It provides the technical infrastructure for the DAO Governance Module, enabling secure and transparent voting processes. This ensures that decisions made about the protocol's development and incentive mechanisms are democratic and reflect the will of the community. --- # 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://docs.deagent.net/deworker-protocol-overview/blockchain-layer.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.