BugHerd is a visual feedback and project management tool that streamlines web development processes through intuitive issue tracking and collaboration.
Enhance your feedback management with AI Agents that automatically process, categorize, and act on website feedback.
BugHerd excels at visual website feedback and issue tracking. Relevance AI transforms that feedback into intelligent action with AI Agents that can analyze, prioritize, and automate responses at scale.
Intelligent Feedback Analysis
The agent analyzes feedback trends to identify critical issues swiftly.
Automated Task Orchestration
It automatically assigns tasks based on urgency and team capacity.
Proactive Issue Resolution
The agent anticipates potential problems and suggests solutions before they escalate.
Relevance AI gives you access to BugHerd's visual feedback and task management capabilities within your automated 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 BugHerd account
- A Relevance AI account with access to your project
- Authorization (you'll connect securely using API keys—no sensitive info stored manually)
Security & Reliability
The integration leverages OAuth authentication to securely connect BugHerd with Relevance AI, handling all API methods and requests automatically. Relevance AI manages the technical complexities of BugHerd's API endpoints and authentication tokens behind the scenes.
Built-in request validation and response handling ensure reliable data exchange between platforms, with automatic error handling and retry logic.
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.
