> For the complete documentation index, see [llms.txt](https://support.dashworks.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://support.dashworks.ai/~/changes/6N8IPA9qppIDDKenhyUi/admin-tools/team-onboarding/announcing-dashworks.md). # Announcing Dashworks The first thing to do before anyone has access to Dashworks is tell them what Dashworks does. Undoubtedly they are already using a myriad number of tools, so it’s important to emphasize that Dashworks acts as an aggregator – allowing you to search information across all of your team’s tools and get answers to their most pressing questions. One effective phrase to communicate what Dashworks does is "Dash before you ask." This just means that oftentimes, the answer can be found in Dashworks and could prevent someone from bothering a teammate or waiting around for an answer. Below is sample message you can send your team: *Hey Team! Starting tomorrow you will all have access to a new tool called Dashworks. Dashworks is \'s AI assistant. It answers all your work-related questions and is able to synthesize information stored across your company's applications. It also has the ability to generate content, summarize meetings and emails, and provide you context on company projects.* *We have currently connected \ and you can connect your personal versions of those applications in your Settings. Dashworks can be accessed by heading to web.dashworks.ai and logging in. Please join us for our kick-off webinar on \* --- # 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://support.dashworks.ai/~/changes/6N8IPA9qppIDDKenhyUi/admin-tools/team-onboarding/announcing-dashworks.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.