# Functional Component Composition **Green Meta will provide, but not limited to, the following component support:** • A multi-application runtime environment with interoperable interfaces with blockchain systems. • Interactivity technology model, reflecting the user's ability to interact with objects within the simulated environment and the naturalness of feedback received from the environment. • A test chain with efficient artificial intelligence (AI) network and high-speed contract virtual machine. • Cross-chain acceptance gateway supporting homogeneous and non-fungible digital assets. • Enhanced comprehensive intelligent network technology (Network) permission system. • Internet of Things (IoT) technology capable of continuous execution across blocks. • Atomic DID transaction operations. • Support for syntax-level consensus tasks. • Small-scale consensus and random numbers. • Support for endogenous trusted random processes. • Support for extremely short on-chain transaction confirmation periods. • Support for on-chain precise timers, support for Standby mode, and contract execution modes with personalized support. • Transaction verification mechanisms to prevent BP/developer cheating. **Additionally, Green Meta will provide, but not limited to, the following functionalities:** • Interfaces for intermediary asset operations. • Examples of non-fungible asset circulation platforms. • Support for player autonomy and DApp mechanisms. • Visual IDE (including visual editing of games, social programs, and contracts). • Complete wallet, user system, and asset browser. --- # 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://doc.greenmeta.biz/white-paper/green-meta-architecture-system/functional-component-composition.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.