Prompt

Act as an AI meeting assistant. I will provide you with a meeting transcript or notes, and you will generate a concise summary with key decisions, action items, and next steps. Outline how to achieve this in a workflow: from obtaining a transcription of a meeting (with no coding, using available tools) to feeding it into an AI for summarization, then delivering the summary to the team. Present the outline as 5-7 bullet points.

How to Use

1. Define Your Inputs: Determine what you’ll feed the AI and what you expect back. Inputs can be the raw transcript text of a meeting or a recording (audio/video) that needs transcription. Also identify the format of output you want: bullet list of key points? paragraph summary? Decide if you want the summary to highlight decisions and action items explicitly. Knowing these preferences helps you or the AI structure the process correctly.

2. Customize the Prompt: Insert any specific tools or constraints into the prompt. For example: "Outline a no-code workflow to transcribe a Zoom meeting and summarize it. Include using Zoom’s transcript feature and an AI to summarize key decisions and tasks." If you use a particular platform (Microsoft Teams, Google Meet, Otter.ai), mention it so the AI can include it in the outline. You might also specify the length or level of detail of the summary (e.g. “a one-paragraph summary” or “bullet points with action items”).

3. Optional Add-ons: There are many tools that can assist in transcription and summarization. If not already built-in (Zoom offers cloud recordings with transcripts, for instance), consider using dedicated services like Otter.ai or Fireflies for transcription – they require no coding, just uploading or integration with your meeting software. You can mention in the prompt something like “using Otter.ai to get the text.” For summarization, if your AI platform has a meeting summary feature (Notion AI, Microsoft Copilot, etc.), leverage that. Also, think about where the summary will live – maybe automatically add to a Notion page or email to attendees via Zapier. Include these in the outline if they add value (e.g. final step: “Post summary to project Notion workspace”).

4. Run the Prompt: Execute the prompt in your AI tool. It should generate a step-by-step outline. Typical steps might be: 1) Record the meeting, 2) Obtain transcript (with a suggested tool), 3) Feed transcript into AI with a summarization prompt, 4) Include specific prompts for highlighting decisions, 5) Output and distribute the summary. Check that the outline mentions everything from capturing audio to delivering the summary. If any step seems too vague (e.g. “use an AI to summarize” without details), you can prompt the AI for clarification or include specific tool names in your prompt to get more concrete advice.

5. Review & Select: Evaluate the proposed outline. Is it practical and suited to your workflow? Ensure the steps truly require no or low code. For instance, if the AI suggests “write a script to transcribe” – that’s not no-code, so you’d want to replace that with a tool. You might merge suggestions: perhaps one outline mentions using Google Meet’s captions while another suggests Otter.ai – choose what’s easiest for you. The final outline should be clear on how to go from meeting audio to a polished summary.

6. Expected Outcome: A clear game plan for automating meeting transcription and summarization. Once implemented, you’ll routinely get a summary of every important meeting without manual effort. This means you and your team can quickly review what happened, even if some couldn’t attend, and you won’t lose track of action items. Given that people forget roughly 50% of information within an hour and 70% within a day, having an AI-generated summary is invaluable – it preserves decisions and tasks so nothing falls through the cracks. The outline will empower you to set up an AI meeting assistant that boosts team alignment and productivity.