PAID14:44

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Paid post“This video is sponsored by Granola AI. I tested it myself before agreeing to partner with them.” — https://www.youtube.com/watch?v=v9OI1WXRxlg14:44 · spoken hook

“Alright so let's think about this. We've all been there. We're at a meeting. We're taking notes”

The opening line · 0:00 · move: problem

Opens on the cost of split attention in meetings, then demonstrates Granola capturing an interview, enhancing sparse notes, generating follow-up questions, sharing the record, and connecting it to other tools before recommending a plan.

12views—likes↑1.5×vs their usual post · 8 views15creators ran this script

@Your Everyday Professional · 5 followers · 1 of 13 recent posts mention Granola · creator page →

Playbook · Notes-to-automation stack →
The script, step by step177 lines
The script177 lines · @Your Everyday Professional
  1. 0:00Alright so let's think about this. We've all been there. We're at a meeting. We're taking notes
  2. 0:04but at the same time we're trying to pay attention to what's going on. Then in the midst of taking
  3. 0:07your notes you realize that you missed something important and before you can double back to figure
174 more linesmembers read and copy every script on the site
0
Where this post sitsthe repetition is the proof
Runs the playbook
Notes-to-automation stack

Treat the meeting as the input, then visibly route Granola context through Recipes, Zapier, CRM, Claude, Slack, or presentation tools until it becomes finished work.

AI workflow educators connecting meeting context to agents and business tools · 15 creators · 15 posts

Open the full playbook →

this post · other creators who ran it

Who made ittheir public relationship signal, and the receipt for it
@Your Everyday Professionalyoutube · 5 followers · median 8 views · n=10best post121.5×views · for GranolaPaid post “This video is sponsored by Granola AI. I tested it myself before agreeing to partner with them.” — https://www.youtube.com/watch?v=v9OI1WXRxlgOpen creator →

Views and likes are public counts at capture time. The multiple compares this post with the creator’s own recent median, not a claim about what caused its reach. Read the methodology →