> For the complete documentation index, see [llms.txt](https://docs.archisketch.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.archisketch.com/guide/intro-en/update-note/2025/202510/20251002.md). # \[2025.10.02] Major product library update Hello, this is Archisketch. Today, a large-scale modeling update has been rolled out to the shared library. ## Key update details * Total added models: over 170 * Participating brands: 15 * Category: Mainly foreign high-end lighting products and furniture. This update includes products from various brands, so you can make broader use of them in your work. We especially focused on design quality and detail, so please use them in a variety of ways to suit the nature of your project. ## Major brands * Lindsey Adelman Studio * Misgard * Roll and Hill * String Furniture * Artek * Innovation Living * Posh New York * Pennsylvania House * Apparatus Studio * FLOS * Balmuda * Rhombus Lab * Jibeneur and others. We plan to continuously expand with even more brands and products in the future, so please look forward to it. --- # 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.archisketch.com/guide/intro-en/update-note/2025/202510/20251002.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.