In a recent LinkedIn post, Luís Rodrigues explores an innovative method for eliminating manual meeting note-taking by leveraging AI tools. Rodrigues details a five-step setup involving Granola, an AI notetaker, and Claude, a conversational AI, to streamline the process and extract actionable insights from calls.
Rodrigues highlights the significant time savings and enhanced productivity gained from this automation. “I don’t take meeting notes anymore,” he states, emphasizing the shift from manual effort to AI-assisted workflows. The core benefit, as he explains, is the ability to use Claude for post-call follow-up tasks, transforming raw meeting data into actionable to-do lists and communication drafts.
“Stop taking meeting notes manually. This 5-step Granola x Claude setup does it in just 2 minutes.”
Streamlining the Setup Process
Rodrigues breaks down the implementation into five clear steps, ensuring accessibility for users. The initial phase involves installing Granola, described as an AI notetaker that operates locally on the user’s machine. A key feature highlighted is that no AI bot joins the call, allowing participants to converse naturally without disruption. Granola supports major video conferencing platforms like Zoom, Teams, and Meet.
The subsequent step involves connecting Granola to Claude. Rodrigues provides specific instructions for navigating Claude’s settings to find and enable the Granola connector, even for users who primarily use the desktop application. This integration is crucial for enabling Claude to access and process the meeting notes generated by Granola.
Leveraging AI for Deeper Insights
Beyond simple note-taking, Rodrigues emphasizes the power of asking aggregated questions across multiple meetings. This allows users to gain a higher-level understanding of client interactions, commitments, and potential inconsistencies.
“Ask across meetings, not one meeting: ‘What did we decide about pricing across every call with this client?'”
As Rodrigues points out, this capability moves beyond summarizing individual meetings to synthesizing information across a series of interactions. He suggests prompts such as, “What did I commit to in the last two weeks that I haven’t done?” or “Where have I contradicted myself with this vendor?”
Enhancing AI Comprehension with Stacked Connectors
To further augment Claude’s understanding, Rodrigues recommends stacking additional connectors, including Gmail, Slack, and Calendar. By enabling these, Claude can not only read the meeting transcripts but also analyze the subsequent communication threads and scheduled events related to the meeting. This comprehensive data integration allows for a more holistic view of project progress and action items.
“Add Gmail, Slack, Calendar. Now Claude reads the meeting and the thread that followed it.”
Rodrigues also advises caution regarding write access. He suggests starting with read-only access for Granola’s connector and other integrated services like Gmail and Slack, only granting write permissions once trust in the system is established. This measured approach ensures data integrity and user control.
Automating Weekly Planning
Once the system is set up and trusted, Rodrigues shares his personal Monday routine, which involves using Claude to generate a prioritized to-do list based on meeting outcomes.
“On Mondays, I open Claude and ask it: ‘Check all my meetings in my calendar this week and for all the external ones, get the next steps from Granola and create a to-do list.'”
According to Rodrigues, he then collaborates with Claude to work through each item, facilitating direct sending of documents and emails from the chat interface. This end-to-end automation, from note-taking to task execution, represents a significant leap in personal productivity for professionals dealing with numerous meetings.
📝 About This Content
This article is based on insights shared by Luís Rodrigues on LinkedIn.
📅 Originally posted on October 1, 2026 | View original post on LinkedIn →