> For the complete documentation index, see [llms.txt](https://docs.struct.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.struct.com/tutorials/guides/how-to-use-ai-generated-text.md). # How to use AI-generated text Learn how to use AI-generated text to create unique, on-brand product descriptions, summaries, and more with ease. This guide covers setup, configuration, and best practices. The AI Assistant provides endless creative possibilities, removing the frustration of writer’s block and sparking inspiration with ease. It helps you stand out from competitors by creating unique, compelling product descriptions every time. You can customize the output to match your brand’s tone and style, whether you want a formal, professional voice or something witty and full of personality. The AI Assistant can generate product text from variables, producing anything from detailed descriptions based on all available product information to concise summaries created from longer texts. Follow this guide to learn how to set it up and start creating content that truly represents your brand. ### Guide * [How to set up AI-text-generator](/tutorials/guides/how-to-use-ai-generated-text/how-to-set-up-ai-text-generator.md) * [How to Configure AI-text-generator](/tutorials/guides/how-to-use-ai-generated-text/how-to-configure-ai-text-generation.md) * [How to use AI-text-generator](/tutorials/guides/how-to-use-ai-generated-text/how-to-use-ai-text-generator.md) * [Example of commands](/tutorials/guides/how-to-use-ai-generated-text/example-of-commands.md) --- # 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.struct.com/tutorials/guides/how-to-use-ai-generated-text.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.