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AI agent use cases for Work & Operations

Planning, inboxes, documents, and the back office that runs a business. 146 real use cases. 101 were done with 20 named agents, most often Claude Code, n8n and Claude Cowork; 45 with custom-built, lesser-known or unnamed ones. Each links to its source and comes with a prompt to try.

146 use cases · 20 named agents · Updated Oct 8, 2026

All 146 Work & Operations use cases

  • Run an overnight chief of staff for email and calendar

    A Claude Code system triages email at 5:30 AM, preps the calendar, updates tasks, adds drive-time events from traffic data and time-blocks the day.

    How it went The author says the task list and calendar, including traffic-based drive-time events, are current by 6:15 AM. The source gives no measured results beyond that. Most of the guide is paywalled.

    2 accounts

  • Extract invoice data and file it into a bookkeeping sheet

    A self-hosted n8n workflow extracts accounting data from uploaded receipts and invoices with OpenAI, then after user review files the originals and appends data to a yearly sheet.

    How it went The source gives no accuracy or time-saving figures. It describes a working prototype with a demo video. The public repo holds sanitized exports that won't run until you configure your own credentials and IDs.

    3 accounts

  • Pick the cheapest capable model per task for CRM and email work

    A user had their OpenClaw agent rewrite its own code to add a throttle module that picks the cheapest capable model for tasks like CRM analysis and drafting outbound emails.

    How it went The agent now matches model cost to task complexity and acts as a chief of staff, handling follow-ups and drafts. The source gives no cost savings figures.

  • Grade papers and build lessons with Claude Cowork

    A teacher says Claude Cowork saved hours on curriculum design, grading papers, making PowerPoints, and analyzing student grades.

    How it went They say Cowork saved them hours across curriculum design, grading, PowerPoints, grade analysis, and differentiation work, and even gave teaching-strategy tips after they uploaded best-practice documents. The main shortcoming discussed was privacy risk, which they addressed by anonymizing student data before upload.

  • Review Slack channels for business issues

    Lindy reviewed Slack activity across sales, support, inventory and reviews for a clothing business and returned a report on demand, support issues, low stock and feedback.

    How it went The report listed customer demand signals, five unresolved support issues, low-stock and out-of-stock items, and recent review feedback, then converted the findings into four concrete actions such as restocking high-demand products.

    2 accounts

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