1. Find and explore your meetings
Ask your AI assistant to retrieve meetings from Read by date or other available criteria. You can work with one meeting, a specific list, or a group of related meetings.
For example:
- “Find my meetings from the past seven days.”
- “Pull up yesterday’s customer discovery calls.”
- “Get the meeting with Acme and summarize the discussion.”
2. Analyze conversations across meetings
Your assistant can retrieve meeting summaries, transcripts, participants, action items, and other meeting details for deeper analysis. This is useful when you need to identify patterns or recover information without reading every transcript yourself.
You can use it to:
- Extract customer pain points and critical feedback
- Compare themes across discovery or research calls
- Identify decisions, action items, owners, and open questions
- Review what was agreed about a deadline, project, or proposal
- Distill a brainstorming session into its key conclusions
For example:
- “What pain points came up across these three discovery calls?”
- “Summarize the decisions and unresolved items from this week’s meetings.”
- “What did we decide about the launch timeline yesterday?”
3. Turn meeting context into deliverables
Once meeting content is available to your AI assistant, you can combine it with the assistant’s writing, analysis, and artifact-creation capabilities. Depending on the client and other connectors you have enabled, you might:
- Draft a proposal from a brainstorming session
- Create a presentation based on a demo or discovery call
- Write a customer follow-up email
- Produce a project update or executive briefing
- Format meeting takeaways for Slack, Confluence, Notion, or Google Docs
- Combine meeting insights with relevant email, calendar, CRM, or document context
For example:
- “Create a five-slide presentation from this demo call.”
- “Turn the conclusions from this brainstorming session into a proposal.”
- “Draft a Slack update covering the decisions and next steps.”
4. Build recurring meeting workflows
You can also incorporate Read into scheduled tasks and automations supported by your AI client. For example, a weekly workflow could retrieve your meetings from the previous seven days, synthesize decisions and open items, and publish a formatted digest to a shared workspace.
Other possibilities include:
- A daily briefing that combines meetings with calendar, email, and document context
- A weekly summary of decisions and outstanding action items
- A recurring customer-feedback digest
- Automated project or account updates based on recent calls
The destinations and triggers available depend on the automation features and connectors supported by your AI client.
4. Share a meeting report
Ask your assistant to share a specific Read meeting report with another person. Read updates the report’s sharing permissions and notifies the recipient.
For example:
- “Share yesterday’s product discovery call with Sam Cross.”
5. Send Read to an ad hoc meeting
If a supported Google Meet, Zoom, or Microsoft Teams call was not already scheduled for Read to join, you can provide its meeting URL and ask your assistant to send a Read meeting agent.
For example:
- “Send Read to this Google Meet: [meeting URL].”
Because MCP tools are self-describing, compatible assistants can discover and use newly added capabilities as they become available.