This workflow automates time tracking and management by integrating Clockify, Slack, and OpenAI. It allows users to efficiently log, retrieve, update, and delete work time entries directly through conversational commands or Slack app mentions. The workflow begins with a Slack trigger listening for app mentions, then uses a conversational agent to guide users through the process. Depending on the requests, it fetches user, project, or client data from Clockify, calculates durations, and manages time entries with create, update, or delete actions. The workflow facilitates seamless communication between team members and the time management system, making work hour logging simple, accurate, and proactive. It is ideal for teams needing automated, real-time tracking and interaction without switching platforms.
Automated Time Tracking and Management with Clockify and Slack
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolCalculator, @n8n/n8n-nodes-langchain.toolCode, @n8n/n8n-nodes-langchain.toolHttpRequest, executionData, slack, slackTrigger |
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