Google Meet is a video conferencing tool that allows users to connect and collaborate remotely. With Relevance AI, you can elevate your meeting experience by automating scheduling and leveraging AI Agents to streamline your workflows.
Google Meet provides a robust platform for virtual meetings, while Relevance AI empowers you to automate and optimize these interactions with AI Agents that can adapt and respond to your needs.
Intelligent Meeting Orchestration
The AI agent seamlessly coordinates complex meeting workflows, from scheduling to follow-up actions, reducing administrative overhead by 75%
Real-time Collaboration Enhancement
Elevates virtual meetings by providing instant transcription, translation, and contextual insights during live sessions
Automated Knowledge Synthesis
Transforms meeting content into structured, searchable knowledge bases with automated summary generation and action item tracking
Relevance AI integrates seamlessly with Google Meet, enabling you to enhance your meeting workflows with intelligent scheduling and management.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Google account with access to Google Meet
- A Relevance AI account
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
This integration enables seamless interaction with Google Meet's API through Relevance AI's platform, allowing you to programmatically schedule meetings, manage calendar events, and make authorized API calls. Relevance AI handles API operations (like scheduling meetings and managing events) in the background—so you don’t have to worry about errors, formatting, or limits.
Automated meeting scheduling and calendar management are made easy with OAuth-based secure authentication, ensuring that only authorized workflows access your Google Meet data.
Built-in validation and type conversion ensure your workflows run smoothly, even when data formats vary. For example, when scheduling a meeting, the integration automatically checks that the datetime format adheres to RFC3339 standards, preventing common errors.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
To get the most out of the 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.
