# Product and Ecosystem iAgent Introduces novel concepts such as 'VLM' to train AI agents from visual data, 'Proof of Work,’ and 'Proof of Ownership' for validating network tasks and verifies the quality of trained agents, while ERC standard managing the agents' ownership. It serves as the backbone of the system, promoting transparency, trust, and fairness within the protocol. As part of our product offerings, we provide AI and game developers with all the essential tools, SDKs, APIs, and cost-effective computing power through DePIN framework, making high-quality AI training more accessible. Consequently, the iAgent protocol will provide grants and necessary support to other game devs so they can develop more game Agent modules efficiently and rapidly and therefore provide Agents for many more games from AAA to indie games simultaneously. --- # 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.iagentpro.com/product-and-ecosystem.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.