> For the complete documentation index, see [llms.txt](https://docs.trymito.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.trymito.io/mito-ai/chart-wizard.md). # Chart Wizard {% embed url="" %} Sometimes you just need to make a small tweak to a chart—change a color, update a title, or adjust a label. Routing these quick edits through the AI can slow you down. The **Chart Wizard** is designed to keep you in the flow. Hover over any chart and you’ll see the **Chart Wizard** button in the upper-right corner. ### Chart Wizard Basics The Chart Wizard is a set of configurable fields that control the visual appearance of a chart. These fields work together to define things like colors, labels, sizing, and layout. Instead of prompting the AI, you can adjust these values directly and preview changes in real time. ### Adding Fields If you don’t see a chart element you want to edit, use the **Add a Field** button at the bottom of the Chart Wizard. Describe what you’d like to change, and the Wizard will generate a new editable field for that aspect of the chart. ### Converting Charts The Chart Wizard expects charts to follow a specific code format. Charts generated with recent versions of Mito AI already meet this requirement. Charts created with older versions of Mito — or sourced externally — may need to be converted first. When this happens, the **Convert** tool will automatically appear. Running the conversion updates the chart to the expected format while keeping its visual output identical. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.trymito.io/mito-ai/chart-wizard.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.