> 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/slackbot/slackbot-in-channels/autoresponder.md). # Autoresponder Once you've completed the setup, the Dashworks Slackbot will automatically detect and respond to questions asked in new threads. ### Questions the Slackbot will not respond to While the Slackbot is trained to detect and automatically respond to most questions, there are questions the Slackbot is configured to not respond to. This is expected behavior to ensure the Slackbot is not creating unnecessary noise in shared Slack channels. The Slackbot will not respond to: * Questions that are directed to other members (i.e. -- "John, did you hear back from customer X about the open proposal?") * Action oriented questions (i.e. "Send an email to prospect X about the items we spoke about.") ### Asking follow-up questions You can ask Dash AI a follow-up question inside the thread by tagging it with "@Dashworks". ### Resolving a question Click "Yes" on Dash AI's response to mark the question as resolved. Once resolved, Dash AI will add a :white\_check\_mark: emoji to indicate that it's resolved. ### Training Dash AI If you think Dashworks' responses can be improved, you can provide it feedback by clicking on the Show More menu to help improve its responses for similar questions asked in the future. You can learn more about how you can [train Dash AI here](https://dashworks.gitbook.io/dash-help-center/optimizing-dash-ai/train-dash-ai). --- # 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/slackbot/slackbot-in-channels/autoresponder.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.