Human Layer is a platform that streamlines human-AI collaboration by providing tools for feedback and decision-making.
Combine it with Relevance AI to create intelligent agents that leverage human insights for more accurate and contextual interactions.


Human Layer enables effective human-AI collaboration through structured feedback loops and workflow optimization. Relevance AI enhances this by allowing you to build sophisticated AI agents that learn and adapt from human insights in real-time.
Enhanced Decision Orchestration
Agents can seamlessly integrate human insights to refine decision-making processes.
Dynamic Feedback Adaptation
Agents can adjust their responses in real-time based on user feedback, improving relevance.
Contextual Awareness Amplification
Agents gain a deeper understanding of user needs, leading to more personalized interactions.
Relevance AI gives you access to Human Layer's collaboration tools within your AI agent 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 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, ensuring only authorized workflows access your HumanLayer data. Relevance AI manages API operations seamlessly in the background—handling authentication headers and request formatting automatically.
Built-in request validation and response handling ensure reliable API interactions across all supported endpoints.
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.