# Workflow #### Prepare for the call * Schedule a meeting on Google Meet or other conferencing tools. * Write down a list of questions and topics for discussion. * Think about potential content ideas and take notes. #### Conduct the call * Ask participants for permission to record the call and share the information publicly later. Make sure you can see faces on the recording. Ideally, face and screen share, which works with **Google Meet**, native **Zoom** recording and **Loom** * Record and transcribe the call * Take additional notes during the conversation about what stands out #### Post-call tasks * Set the video and transcript to shareable settings * Share the links with the Video Editor in [this notion doc](https://www.notion.so/Meeting-Recordings-cfaca4b33047465f9ad1556c77d2b184?pvs=21). * add comments and questions that can be used as prompts * Tag the Video Editor as an assignee * Record an intro to a podcast based on this script: > Hello everyone, welcome to another episode of the Deep Work podcast. It's based on conversations I have with my friends, uncovering insights about the nature of work, tech and design. Today I'm talking to *\_\_* about \_. He/she is *\_\_* . Without further ado, let's jump in. #### Collaborate with the Video Editor * The Video Editor uses the transcript to create videos, and receive a Google Drive link with all the videos from Video Editor * Review the videos to check the content of the videos for accuracy and appropriateness. * Ask participants for permission to share the videos on social media, if necessary. #### Approve and post the videos * Give the green light for the videos to be posted. move the videos that need extra review to a separate folder (to review) * The Video Editor posts the videos on Instagram and Twitter --- # Agent Instructions: 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: ``` GET https://docs.deepwork.studio/teams-departments/awareness/functions/interviewer/workflow.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.