Feedier is a customer feedback management platform that helps businesses collect, analyze and act on customer insights.
Enhance your feedback processes with AI agents that can automatically analyze sentiment, respond to customers, and turn feedback into actionable intelligence.
Feedier excels at gathering and organizing customer feedback data. Relevance AI transforms this feedback into intelligent action through AI agents that can analyze sentiment, automate responses, and drive continuous improvement.
Instant Feedback Analysis
The agent rapidly analyzes customer feedback to identify trends and sentiments.
Automated Response Generation
The agent crafts personalized responses to customer feedback in real-time.
Continuous Improvement Loop
Facilitates an ongoing cycle of feedback collection and product enhancement.
Relevance AI gives you access to Feedier's feedback management capabilities within your automated workflows and AI agents.
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 Relevance AI account
- An Airtable account with access to the base and table you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The integration leverages secure OAuth authentication to safely access your Feedier feedback data. Relevance AI manages API operations seamlessly in the background, handling request methods and data formatting automatically.
Built-in validation ensures your feedback collection and analysis workflows operate reliably across different response formats.
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.
