# AI Copilot The AI Copilot extends the No Code technologies-based functionality in QMCLOUD for cloud deployments. Using the AI Copilot assistant, you can enter a description of the desired Cloud infrastructure you want to deploy in the prompt window. The Copilot will then automatically generate the required configuration. The Copilot will then render the components and connections with appropriate properties on the canvas. The user can then easily deploy the cloud infrastructure. One of the main use cases for the AI Copilot will be where the user is unsure about all the components required to deploy a service. For example, in AWS EKS, a user will need to compose many components including VPC, Subnets, Routing, Gateways, EKS Cluster, Nodes and IAM roles and policies. The user can enter a description in a prompt and incrementally build the required infrastructure. As with any generative AI based technology, the more information and context that is provided to the assistant, the more accurate responses will be. The advantage of QMCLOUD AI Copilot is that the assistant will render the desired infrastructure on a canvas where the user can review, make changes if required and validate before deployments. In summary the AI Copilot further simplifies and reduces the effort required to deploy Cloud infrastructure. --- # 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.qmcloud.io/ai-copilot.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.