GPT Store · Productivity
Summarizes meetings, extracts action items, decisions, and follow-ups with automatic participant attribution.
A custom GPT by @productivitypro for productivity tasks. Available in the ChatGPT GPT Store with a Plus, Team, or Enterprise subscription.
Meeting Notes AI is a custom GPT built by @productivitypro for summarizes meetings, extracts action items, decisions, and follow-ups with automatic participant attribution. It is available in the ChatGPT GPT Store under the Productivity category and requires a ChatGPT Plus subscription to access.
Meeting Notes AI is part of the Productivity category in OpenAI's GPT Store. Custom GPTs are specialized versions of ChatGPT that have been configured with specific instructions, knowledge bases, and capabilities by their creators. This GPT was designed by @productivitypro to help users with summarizes meetings, extracts action items, decisions, and follow-ups with automatic participant attribution.
Unlike prompting a general-purpose ChatGPT, this GPT comes pre-configured with the context, tone, and expertise needed for productivity-related tasks. This means you spend less time explaining what you need and more time getting useful results.
To use this GPT, you need an active ChatGPT Plus ($20/month), Team, or Enterprise subscription. Once subscribed, you can find it by searching for "Meeting Notes AI" in the GPT Store or browsing the Productivity category.
Discover more GPTs in the same category.
Common questions about Meeting Notes AI and how to use it effectively.
If you provide a transcript or rough notes with speaker labels, it can attribute action items, decisions, and follow-ups to specific participants. It works best with clear speaker identification — 'Alice: ...' 'Bob: ...' — and may confuse attribution if the notes are a wall of text without labels. For live meetings, pair it with a transcription tool like Otter or Fireflies first.
It generates structured meeting summaries with sections: Key Decisions, Action Items (with owners and deadlines), Discussion Summary (by topic), Open Questions, and Next Meeting Agenda. You can customize the template — some teams prefer a simpler 'Decisions / Actions / Questions' format, others want detailed narrative minutes.
It cannot directly push tasks to Asana, Jira, or Notion, but it can format action items with assignee, due date, and description in a structure that is easy to copy-paste or CSV-import. Some users set up a Zapier/IFTTT workflow where the GPT output feeds into their PM tool.
It captures broad topics and major decisions reliably — about 90-95% accurate on what was discussed. The weak spot is nuance: it may miss the tone of a disagreement, the hesitation behind a 'yes,' or the political subtext of a decision. For high-stakes meetings, review the summary against your own notes before distributing.
It will summarize the tangents unless you explicitly ask it to filter for 'decisions and action items only.' The default behavior is to be comprehensive, which means 20 minutes of off-topic brainstorming will show up as a section in the notes. You can prompt it to separate 'core agenda items' from 'side discussions' in the summary.
It can process meeting notes in most major languages — Spanish, French, German, Portuguese, Japanese, Korean, Chinese — and produce summaries in either the original language or English. Accuracy degrades somewhat for languages with less training data, and it may struggle with code-switching (multiple languages in one meeting).
Meeting notes uploaded to ChatGPT are subject to OpenAI's data usage policies. For sensitive meetings — board discussions, HR issues, client-confidential information — use the API or enterprise version with data processing agreements, or stick to human note-taking. Never upload meeting content that would violate confidentiality agreements or data protection regulations.
The best workflow: (1) Record/transcribe the meeting with a dedicated tool, (2) Paste the transcript into this GPT with specific instructions — 'Extract decisions about the Q3 budget, action items for the engineering team, and any open questions about the launch timeline,' (3) Review the output against your own notes, (4) Distribute. Specific prompts produce dramatically better results than 'summarize this meeting.'