AI Agent and Google Meet Integration

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Automatically schedule Google Meet calls with AI Agent based on lead qualification scores, ensuring prompt outreach. Latenode’s visual editor and affordable execution pricing streamline complex lead engagement.

Swap Apps

AI Agent

Google Meet

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect AI Agent and Google Meet

Create a New Scenario to Connect AI Agent and Google Meet

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a AI Agent, triggered by another scenario, or executed manually (for testing purposes). In most cases, AI Agent or Google Meet will be your first step. To do this, click "Choose an app," find AI Agent or Google Meet, and select the appropriate trigger to start the scenario.

Add the AI Agent Node

Select the AI Agent node from the app selection panel on the right.

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AI Agent

Configure the AI Agent

Click on the AI Agent node to configure it. You can modify the AI Agent URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Run node once

Add the Google Meet Node

Next, click the plus (+) icon on the AI Agent node, select Google Meet from the list of available apps, and choose the action you need from the list of nodes within Google Meet.

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Authenticate Google Meet

Now, click the Google Meet node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Meet settings. Authentication allows you to use Google Meet through Latenode.

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Connect Google Meet

Sign In

Run node once

Configure the AI Agent and Google Meet Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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The action ID

Run node once

Set Up the AI Agent and Google Meet Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring AI Agent, Google Meet, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the AI Agent and Google Meet integration works as expected. Depending on your setup, data should flow between AI Agent and Google Meet (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect AI Agent and Google Meet

Google Meet + AI Agent + Slack: This automation transcribes and summarizes a Google Meet using AI Agent, and then posts the summary to a designated Slack channel.

Google Meet + AI Agent + Google Docs: Transcribe and summarize a Google Meet with AI Agent, saving both the transcript and summary into a newly created Google Doc.

AI Agent and Google Meet integration alternatives

About AI Agent

Use AI Agent in Latenode to automate content creation, data analysis, or customer support. Configure agents with prompts, then integrate them into workflows. Unlike standalone solutions, Latenode lets you connect AI to any app, scale automatically, and customize with code where needed.

About Google Meet

Automate Google Meet within Latenode workflows. Schedule meetings based on triggers, automatically generate invites after form submissions, or record & transcribe calls, saving time and ensuring consistent follow-up. Connect Meet to CRMs or project tools for streamlined task management. Simplify repetitive scheduling and meeting-related tasks.

See how Latenode works

FAQ AI Agent and Google Meet

How can I connect my AI Agent account to Google Meet using Latenode?

To connect your AI Agent account to Google Meet on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select AI Agent and click on "Connect".
  • Authenticate your AI Agent and Google Meet accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically transcribe and summarize Google Meet recordings using AI Agent?

Yes, you can! Latenode allows seamless data transfer between apps, letting you trigger AI Agent to summarize meetings as soon as a Google Meet recording is available. Save time and extract key insights effortlessly.

What types of tasks can I perform by integrating AI Agent with Google Meet?

Integrating AI Agent with Google Meet allows you to perform various tasks, including:

  • Automatically generate meeting summaries and action items.
  • Create follow-up emails based on meeting content using AI.
  • Route meeting transcripts to specific team channels.
  • Analyze meeting sentiment to improve team communication.
  • Trigger tasks in other apps based on AI Agent insights.

How can I customize AI Agent prompts within Latenode workflows?

Latenode lets you use dynamic data from Google Meet to create personalized AI prompts. Tailor agent behavior based on meeting details for precise automation.

Are there any limitations to the AI Agent and Google Meet integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Large meeting recordings may take longer to process.
  • AI Agent analysis depends on the quality of the meeting transcript.
  • Real-time analysis during meetings is not currently supported.

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