Turn useful social media videos into actionable research notes
I come across a public social video—a Reel, TikTok, or short clip—with an idea, process, or tool worth keeping. Rather than saving it and forgetting it, I drop the link into my capture workflow. I also use the workflow for clips I have permission to upload or process. The workflow extracts useful information from the video. It creates a transcript of the spoken content and captures key frames when useful information appears on screen. AI then turns that raw material into a structured research note covering the main idea, any reusable framework or step-by-step process, tools or prompts mentioned, constraints, and whether the item should become a project, opportunity, reference, watchlist item, or be ignored. I save the finished note in Obsidian with the original source link so I can search for it later and trace where the idea came from. Each note ends with one recommended next action, turning the video into something I can act on rather than another forgotten save. I only process public content or content I have permission to use, and I label rough transcripts as rough rather than treating them as perfect. 1. I find a public Reel, TikTok, or short video containing an idea, process, or tool worth keeping. 2. I add the video link to my capture workflow, or upload a clip I have permission to process. 3. I create a transcript of the spoken content and capture key frames that contain useful information. 4. I use AI to turn the transcript and frames into a structured research note covering the main idea, reusable frameworks or processes, tools or prompts, constraints, and the appropriate category. 5. I save the note in Obsidian with the original source link and label any rough transcript accordingly. 6. I end the note with one recommended next action so I can act on the idea.
0 comments