> For the complete documentation index, see [llms.txt](https://docs.ninox.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ninox.com/builder-hub/ninox-ai/ninox-ai.md). # Ninox AI The **Ninox AI assistant** helps you turn an idea into a usable app in minutes. From a short description, it creates a strong first version with suggested tables, fields, relationships, and an initial app setup. On the app screen, it also helps you update the current app with common structure changes. Ninox also supports **AI suggestions** during table creation, so you can get helpful field proposals even when you build step by step. That means less time spent modeling from scratch and faster progress from day one. You get something concrete to review, test, and improve right away, so you can shape the app around your process and show early results faster. It works especially well when you already know your use case and want to move quickly. If you know what you need to track, but do not want to build every table and field manually, the AI assistant helps you save time, reduce setup effort, and start with confidence. You can access the AI assistant in these ways: * When you open Ninox for the first time, you see **Create app with Ninox AI** on the landing screen. * You can also start it later from workspace **Home** by clicking **Create app with Ninox AI**. * When you are on the app screen, open the main navigation and click **Ninox AI** . The landing screen with the AI assistant option is only shown the first time you access Ninox. After that, use workspace **Home** to create a new app with AI, or open **Ninox AI** from the main navigation while working inside an app.

To see the complete flow of using the Ninox AI assistant to create an app, including each step in the interface, check [Quickstart - create your first app](/getting-started/builder-getting-started/quickstart-create-your-first-app.md). ### AI assistant on the app screen On the App screen, the AI assistant opens in a side panel. This lets you work on the current app without leaving what you are building. From this panel, you can start a new chat, reopen earlier chats, view the current data model, and close the assistant when you no longer need it.

Use the icons at the top to control the chat and editing context: * **Add chat** starts a new chat. Use it when you want to work on a new topic separately from the current conversation. * **View chat history** shows earlier chats in this app. You can search and reopen existing conversations there. * **View data model** opens the current data model next to the chat. This lets you check tables and fields in the context of the proposed changes. * **Close Ninox AI** hides the side panel and returns you to the normal App screen view. Below the prompt field, Ninox shows predefined prompts for common app-building tasks, such as: * **Add a table component** adds a table-based component to the current app view. * **Add a chart** adds a chart component. * **Add a metric card** adds a metric card component. * **Add a container** adds a container for organizing content in the current view. These prompts give you a fast starting point. You can use them as they are, or describe the change you want in your own words before you send it. ### AI help in the logic editor You can also use Ninox AI anywhere you write scripts. Open the [logic editor](/ninox-scripting/automate-your-workflows/explore-core-scripting-elements/logic-editor-features.md), describe what you want to build, and let AI help you create or refine the script. In the logic editor, Ninox opens an AI panel next to the code area. This lets you work with AI directly while you write and refine your script. If you are not sure how to start, click **Suggest ideas**. Ninox then shows example prompts based on the context of the current table and, for example, the logic field you are editing.\ You can select one of these suggestions or enter your own request in **Ask about Ninox script**. For the best result, mention the table, the fields, and the expected outcome. The more specific your prompt is, the closer the generated script will match your use case.\ Ninox AI then generates a script draft directly in the editor and shows a matching explanation in the AI panel.

Review the suggested script before you keep it. You can **Accept** it, **Reject** it, or refine it by continuing the chat with Ninox AI. When you are ready to keep the current script in the logic editor, click **Apply**. ### Good habits when working with the AI assistant Start with a description that gives the AI something solid to work with. Name the main things you need to track, add the most important fields, and explain how those records connect. For example, if you are planning a project app, say that each project can have many tasks and belongs to one customer. This gives you a stronger first result, but it is still only a starting point. Review the generated tables and fields, then adjust them to match your process. Before you begin, also decide which workspace the new app should belong to, so the structure fits your setup from the start. ### AI suggestions for table creation In addition to the AI assistant, Ninox also offers **AI suggestions** when you create new tables. When you enter a descriptive table name and keep **AI suggestions** enabled, Ninox proposes relevant fields for your table.

You can accept the suggested fields or turn off **AI suggestions** if you prefer to define all fields yourself. --- # 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 dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.ninox.com/builder-hub/ninox-ai/ninox-ai.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.