# AI Assistant Firefly incorporates an AI Assistant, affectionately called your "Thinkerbell AI," which brings conversational intelligence to cloud management and automation. This feature allows you to interact with your cloud infrastructure using natural language queries and remediate issues with a single click. ## Natural Language Queries The AI Assistant allows you to ask questions in plain English about your cloud and get instant answers. This is incredibly useful for quick insights or troubleshooting without digging through consoles and dashboards. The AI is context-aware, it knows about your cloud inventory, configurations, and even recent events.\ Check out the [Firefly MCP server](/integrations/mcp.md) for more details on how to use the AI Assistant in your IDE. ### Example Queries You can ask questions like: * "How many EC2 instances do we have running in region us-west-2?" * "Which IAM users do not have MFA enabled?" * "Do we have any unmanaged S3 buckets with public access?" The assistant will parse your question, run the necessary searches or analysis in Firefly, and respond with a concise answer. ## Remediation The AI Assistant can also suggest remediation steps for different issues detected by Firefly, such as Governance policy violations, Workflows Guardrails violations, etc. --- # 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.firefly.ai/key-features/ai-assistant.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.