Feathery is a no-code platform designed to streamline the creation and management of digital forms and workflows.
Enhance your forms with AI Agents that can intelligently process submissions, automate responses, and drive personalized experiences.
Feathery provides powerful no-code form creation and data collection. Relevance AI transforms that collected data into intelligent actions through AI Agents that can analyze, respond, and automate in real-time.
Dynamic Interaction
The agent can adapt responses in real-time based on user input.
Automated Insights
Instantly analyzes data collected through forms for actionable insights.
Personalized User Experiences
Delivers tailored interactions that improve user engagement and satisfaction.
Relevance AI gives you access to Feathery's form-building 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 Feathery account
- A Relevance AI account with API access
- Authorization credentials from both platforms
Security & Reliability
The integration uses secure OAuth authentication, ensuring only authorized workflows access your Feathery data. Relevance AI handles API operations (like GET, POST, PUT, DELETE, PATCH) in the background—so you don't have to worry about authentication tokens, request formatting, or rate limits.
Built-in validation and error handling ensure your workflows run smoothly, with automatic response parsing and status code management.
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.
Best Practices for Non-Technical Users
To get the most out of the Feathery + Relevance AI integration without writing code:
- Configure authentication properly: Ensure OAuth credentials are correctly set up in both platforms.
- Structure your forms wisely: Design Feathery forms with clear field mappings to Relevance AI.
- Use API endpoints efficiently: Choose the appropriate HTTP methods for your specific use case.
- Implement error handling: Monitor API responses and set up proper error notifications.
- Manage request limits: Space out API calls and implement proper request queuing.
