Everhour is a powerful tool for time tracking and task management that helps teams stay organized and efficient. With Relevance AI, you can elevate your project management by leveraging AI Agents to automate tasks and gain deeper insights into your workflows.


Everhour streamlines project management with real-time task and timer controls. Relevance AI enhances this by enabling intelligent AI Agents to automate and optimize your time tracking processes.
Predictive Time Orchestration
AI agent analyzes work patterns to automatically suggest optimal time allocations and task scheduling across projects.
Intelligent Resource Optimization
Agent dynamically balances team workloads by analyzing historical data and real-time capacity metrics.
Strategic Insight Generation
Transforms raw time tracking data into actionable recommendations for productivity improvements.
Relevance AI integrates Everhour's time tracking and task management capabilities into 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:
- An Everhour account
- A Relevance AI account with access to the projects you want to integrate
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The Everhour and Relevance AI integration enables seamless time tracking and task management automation within your workflows. This integration allows you to programmatically create tasks, manage timers, and interact with Everhour's project management features through Relevance AI's platform.
Key benefits include automated task creation and time tracking, seamless project management integration, real-time timer controls, and OAuth-based secure authentication.
To get started, ensure you have the required accounts: an Everhour account with administrative access, a Relevance AI account, and valid OAuth credentials for Everhour. Your system should meet the requirements of Node.js 12.x or higher, an HTTPS enabled environment, and a modern web browser for the OAuth flow.
Make sure you have the necessary permissions, including Everhour API access with the `pipedream-everhour-read-write` scope, project administration rights in Everhour, and API access enabled in your Everhour account settings.
Begin by configuring OAuth authentication with your Everhour OAuth ID and permission type. Then, initialize the API connection with the base URL and authorization headers.
For creating a task, use the provided API call structure, ensuring you include the necessary fields such as project ID, task name, section ID, and due date. The expected response will confirm the task creation with its ID and status.
To start a timer, structure your API call with the project ID, task ID, and any comments. Stopping a timer follows a similar structure, requiring only the OAuth account ID.
In case of troubleshooting, common issues include authentication errors, project/task creation failures, and timer operation issues. Ensure your OAuth token is valid, project IDs exist, and that no other timers are running before starting a new one.
Best practices include implementing error handling to manage API call failures, respecting rate limits by adding delays between calls, and validating task data to ensure all required fields are present.
For further assistance, refer to the Everhour API Documentation, Relevance AI Documentation, and the OAuth Configuration Guide. For additional support, contact Relevance AI Support at support@relevance.ai or Everhour Support at support@everhour.com.
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.