> For the complete documentation index, see [llms.txt](https://academy.shade.inc/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://academy.shade.inc/help-center/ai-faq/do-you-use-our-data-for-training-your-ai.md). # Do you use our data for training your AI? We do not train our models with your data - as we discuss in our [data usage policy](https://shade.inc/data-usage-policy-and-ai) very clearly. This means that all of our models and systems never leverage or use any of your data to improve AI models without your explicit permission or use. Our models are trained with internally curated, licensed or publicly available data. We do our best to make sure we build systems that are designed FOR creatives and not to take advantage of them. Your data is and will always be encrypted and only you will have access to that data, we follow all best security practices to make sure that your data is secure and yours. --- # 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://academy.shade.inc/help-center/ai-faq/do-you-use-our-data-for-training-your-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.