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.
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.
