Gleap is a powerful tool for collecting bug reports and user feedback for mobile apps and websites. By integrating with Relevance AI, you can leverage AI Agents to transform this feedback into actionable insights and optimize your user experience.
Gleap automates bug reporting and feedback collection, while Relevance AI empowers you to analyze and act on this data with intelligent AI Agents that drive insights and improvements.
Real-Time Issue Orchestration
Agent automatically captures, categorizes, and routes technical issues with comprehensive contextual data for immediate resolution
Predictive Problem Prevention
Analyzes patterns in bug reports and user feedback to anticipate and prevent potential issues before they impact users
Intelligent Feedback Synthesis
Transforms scattered user feedback into actionable insights by correlating technical data with user experience patterns
Relevance AI integrates seamlessly with Gleap to enhance your bug reporting and feedback workflows.
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 Gleap account
- A Relevance AI account
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The Gleap and Relevance AI integration streamlines bug reporting, customer feedback collection, and event tracking for your mobile apps and websites. This integration leverages secure OAuth authentication, ensuring that only authorized workflows can access your Gleap data. Relevance AI manages API operations (like creating track events and handling user feedback) in the background, so you don’t have to worry about errors, formatting, or limits.
With built-in validation and type conversion, your workflows run smoothly, even when data formats vary. The integration provides flexible API endpoints for custom implementations, allowing you to tailor the tracking and feedback processes to your specific needs.
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.
