# Introduction Planeo provides an extensible and AI powered model for managing and iterating on multi-purpose ephemeral development environments using Kubernetes and Helm. After connecting the local CLI to your Kubernetes clusters, you can configure Helm charts for multiple usage patterns and deploy them to different namespaces using templated arguments to simplify the configuration process. Planeo is built with AI from the ground up, so while you can use the web UI to view and configure your applications, you can also have the AI assist you with your Planeo resources. You can have the AI assistant create Planeo resources, advise you on general Kubernetes and Helm topics, or help you with more advanced configuration such as port forwarding and values file templating. Our goal with Planeo is to allow developers to leverage the mainstream tooling of Docker, Helm and Kubernetes, without the significant complexity that generally accompanies those tools. The Planeo model and AI integration is intended to reduce friction and empower developers with an opinionated cloud native toolset covering many areas of the SDLC. For an overview of Planeo, watch this video {% embed url="" %} --- # 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://documentation.planeo.dev/introduction.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.