Agents@Work - See AI agents in production at Canva, Autodesk, KPMG, and Lightspeed.
Agents@Work - See AI agents in production at Canva, Autodesk, KPMG, and Lightspeed.
Integrations

Supercharge Human Layer with Relevance AI

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.

Give your AI Agents Human Layer Superpowers

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.

Tools

Equip AI Agents with the Human Layer Tools they need

Relevance AI gives you access to Human Layer's collaboration tools within your AI agent workflows.

human-layer - Compress PDF
A tool for compressing PDF files by providing a URL to the source PDF and specifying the output filename, helping reduce file sizes while maintaining document quality
human-layer - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
human-layer - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
Name
human-layer API Call
Description
Make an authorized request to a human-layer API
Parameters
["OAuth Authentication", "Multiple HTTP Methods (GET, POST, PUT, DELETE, PATCH)", "Custom Headers", "Request Body Support", "Response Status Tracking"]
Use Case
A software development team uses human-layer API Call to automate their deployment process by making authenticated API requests to trigger builds and updates across their infrastructure. This integration streamlines their CI/CD pipeline by enabling secure, programmatic access to their development resources.

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.

Get Started

Best Practices for Non-Technical Users

To get the most out of the HumanLayer + Relevance AI integration without writing code:
  • Configure OAuth properly: Ensure correct authorization setup with your HumanLayer account credentials.
  • Use appropriate HTTP methods: Match GET, POST, PUT, DELETE, or PATCH to your specific API needs.
  • Structure API paths clearly: Follow HumanLayer's path conventions for reliable endpoint access.
  • Validate request bodies: Ensure JSON payloads match HumanLayer's expected format.
  • Monitor response status: Check response codes and headers to confirm successful API operations.