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 0CodeKit with Relevance AI

Dart is a powerful tool for managing tasks and projects programmatically. By integrating with Relevance AI, you can leverage AI Agents to enhance task automation and streamline your project management processes.

Give your AI Agents 0CodeKit Superpowers

Dart provides robust project management capabilities through its API, while Relevance AI empowers these tasks with AI Agents that can automate decision-making and optimize workflows.

Intelligent Task Orchestration

The AI agent seamlessly coordinates and optimizes task workflows across multiple Dart projects, ensuring efficient resource allocation and delivery timelines.

Cross-Platform Synchronization

The agent maintains perfect synchronization of tasks across different platforms and development environments, eliminating version conflicts and redundancy.

Proactive Quality Assurance

By analyzing task patterns and outcomes, the agent preemptively identifies potential issues and suggests optimizations before problems arise.

Tools

Equip AI Agents with the 0CodeKit Tools they need

Relevance AI integrates seamlessly with Dart, enhancing your task management workflows with intelligent automation.

0codekit - 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
0codekit - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
0codekit - 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
0codekit API Call
Description
Make an authorized request to a 0codekit 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 0codekit 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 Dart and Relevance AI integration utilizes a powerful API interface to streamline task management and automation. With secure OAuth authentication, only authorized workflows can access your Dart data, ensuring a safe and efficient process. Relevance AI manages API operations (such as creating, updating, and retrieving tasks) in the background, allowing you to focus on your project without worrying about errors or formatting issues.

Built-in validation and flexible API endpoints ensure that your task operations run smoothly, even when dealing with varying data formats. This integration empowers you to automate task creation and management, enhancing your overall workflow efficiency.

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 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.