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Time logging on Clockify using Slack

Blockia LabsBlockia Labs
4900 views
2/3/2026
DropboxEmail AutomationOpenAISummarizationAttachment Processing
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Time Logging on Clockify Using Slack

How it works

This workflow simplifies time tracking for teams and agencies by integrating Slack with Clockify. It enables users to log, update, or delete time entries directly within Slack, leveraging an AI-powered assistant for seamless and conversational interactions. Key features include:

  • Effortless Time Logging: Create and manage time entries in Clockify without leaving Slack.
  • AI-Powered Assistant: Get step-by-step guidance to ensure accurate and efficient time logging.
  • Project and Client Management: Retrieve project and client information from Clockify effortlessly.
  • Overlap Prevention: Avoid overlapping entries with built-in time validation.
  • Automated Descriptions: Generate ethical, grammatically correct descriptions for time logs.

Set up steps

1. Prepare your integrations

  • Ensure you have active accounts for both Slack and Clockify.
  • Generate your Clockify API credentials for integration.

2. Import the workflow

  • Download and import the workflow template into your n8n instance.
  • Configure the workflow to connect with your Slack and Clockify accounts.

3. Configure the workflow

  • Add your Clockify API credentials in the workflow settings.
  • Set up the Slack Trigger to listen for app mentions or specific commands.

4. Test the workflow

  • Use Slack to create a time entry and verify it in Clockify.
  • Test updating and deleting existing entries to ensure smooth functionality.
  • Check for any overlapping time logs or incorrect data entries.

Why use this workflow?

  • Efficiency: Eliminate the need to switch between tools for time tracking.
  • Accuracy: AI-driven validation ensures error-free entries.
  • Automation: Simplify repetitive tasks like updating or deleting time logs.
  • Proactive Guidance: Conversational assistant ensures smooth operations.

Slack AI Assistant for Clockify Time Logging

This n8n workflow creates an AI-powered assistant that integrates with Slack to help users log time on Clockify. By leveraging an AI Agent, it can understand natural language requests from Slack and potentially interact with a Clockify API (via an HTTP Request tool) to perform time logging actions.

What it does

This workflow automates the following steps:

  1. Listens for Slack Messages: It triggers whenever a new message is posted in a configured Slack channel or direct message.
  2. Processes with AI Agent: The incoming Slack message is fed to an AI Agent.
  3. AI Agent Capabilities: The AI Agent is configured with:
    • OpenAI Chat Model: To understand and generate human-like responses.
    • Simple Memory: To maintain context across a conversation.
    • Calculator Tool: To perform mathematical operations if needed.
    • Code Tool: To execute code if the AI determines it's necessary for a task.
    • HTTP Request Tool: This is crucial for interacting with external APIs like Clockify. The AI Agent can use this tool to make API calls based on the user's request.
  4. Responds to Slack: After the AI Agent processes the message and potentially performs actions (like calling the Clockify API), it can formulate a response and post it back to Slack.

Prerequisites/Requirements

  • n8n Instance: A running n8n instance.
  • Slack Account: With an app configured to send and receive messages (requires a Slack API Token for the Slack Trigger and Slack nodes).
  • OpenAI API Key: For the OpenAI Chat Model used by the AI Agent.
  • Clockify Account & API Key: To enable the HTTP Request Tool to log time. You will need to configure the HTTP Request Tool with the correct Clockify API endpoints and authentication.
  • Langchain Nodes: Ensure the @n8n/n8n-nodes-langchain package is installed in your n8n instance, as this workflow heavily relies on its nodes.

Setup/Usage

  1. Import the Workflow: Download the JSON provided and import it into your n8n instance.
  2. Configure Slack Credentials:
    • Edit the "Slack Trigger" node and configure your Slack API credentials.
    • Edit the "Slack" node and configure your Slack API credentials.
  3. Configure OpenAI Credentials:
    • Edit the "OpenAI Chat Model" node within the "AI Agent" and provide your OpenAI API Key.
  4. Configure AI Agent Tools:
    • HTTP Request Tool: This is where you will configure the Clockify integration.
      • Edit the "HTTP Request Tool" node.
      • You'll need to instruct the AI Agent on how to use this tool for Clockify. This typically involves adding a description to the tool in the AI Agent node that explains its purpose (e.g., "Use this tool to log time entries in Clockify. It can make POST requests to the Clockify API.") and potentially providing examples or specific API endpoints the AI should target.
      • The actual Clockify API calls (URL, headers, body) will be dynamically generated by the AI Agent based on the user's request, but the tool itself needs to be capable of making those requests. You might need to pre-configure some basic headers (like your Clockify API key) in the HTTP Request Tool's credential or as a default header.
  5. Activate the Workflow: Once all credentials and configurations are set, activate the workflow.

Now, you can interact with your AI assistant in Slack. For example, you could type a message like: "Log 30 minutes for project 'Website Redesign' with description 'Worked on homepage layout'." The AI Agent would then interpret this, use the HTTP Request Tool to call the Clockify API, and confirm the action in Slack.

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