--- title: "AI agents for operations: 30 real examples" canonical: "https://agenticfeats.com/roles/operations/" receipts: 30 shown: 9 page: 1 pages: 1 --- > From Agentic Feats: sourced examples of AI agents at work. Map of the site for agents: https://agenticfeats.com/llms.txt # AI agents for operations: 30 real examples Agentic Feats lists 30 sourced examples of AI agents in operations work; 9 link the artifact; most common agent: Claude Code (5). Newest first. ## Feats, newest first - [School financials from ProPublica](https://agenticfeats.com/c/school-financials-from-propublica-operator.md) (Operator; Numbers; 2026-10-13): Operator searched ProPublica Nonprofit Explorer for independent schools and logged their financial data into a Google Sheet; o1 then built a dashboard. Result: Operator collected data for about 25 of 100 schools before the author stopped it; o1 then built a working chart dashboard from that data. - [Terraform via MCP in Cursor](https://agenticfeats.com/c/terraform-via-mcp-in-cursor.md) (Cursor; Shown; 2026-10-13): The author used Cursor with the tfmcp MCP server to run terraform init, plan and apply, provisioning a Postgres database, schema and app role locally. Result: Provisioning worked after two fixes. The MCP hid the real errors, so apply ran through Cursor's Run tool, which suggested the fix. - [Manus tests on hotel booking engines](https://agenticfeats.com/c/manus-tests-on-hotel-booking-engines.md) (Manus; Numbers; 2026-10-13): Manus.ai was prompted to book a September stay at hotels on 11 popular booking engines to test its navigation. Result: Manus succeeded on 8 of 11 booking engines, three of those with delays, and failed on D Edge, Simple Booking and Travelanium. - [Cursor workflows for DevOps](https://agenticfeats.com/c/cursor-workflows-for-devops.md) (Cursor; Claim; 2026-10-13): Cursor was used by a DevOps engineer with rules files, MCP plugins, and auto-run commands to refactor configs, debug builds, and migrate infrastructure code. Result: The author migrated 10+ Lambda functions from Node.js 14 to 20 in one pass and fixed a broken docker-compose file by auto-retrying until clean. - [Personal assistant agent for daily work](https://agenticfeats.com/c/personal-assistant-agent-for-daily-work-claude-cowork.md) (Claude Code, Claude Cowork; Claim; 2026-10-13): The authors built a personal agent with Claude Cowork or Claude Code, connected through Rube to their email, calendar, Slack, Airtable and other apps. Result: The agent triages the inbox, schedules meetings, books flights, pulls Airtable data, scrapes exhibitor lists, and takes notes as a second brain. - [VC analyst agent and CRM build](https://agenticfeats.com/c/vc-analyst-agent-and-crm-build-openclaw.md) (OpenClaw; Shown; 2026-10-13): OpenClaw, set up as a VC analyst agent named Pao, audited its own server security and coded a basic CRM. Result: Pao fixed firewall, root SSH and Docker proxy issues for $0.30, and a basic internal CRM was built for about $25 in one weekend. - [Receipt processing in Cowork](https://agenticfeats.com/c/receipt-processing-in-cowork-claude-cowork.md) (Claude Cowork; Claim; 2026-10-13): Claude Cowork processed a PDF purchasing card receipt, extracting data and producing a cover sheet for the author's TPS report, running its own Python script. Result: Cowork ran the script, fixed an error itself, and returned finished output files with no terminal or manual dependency setup from the author. - [Email triage and drafting agent](https://agenticfeats.com/c/email-triage-and-drafting-agent-openclaw.md) (OpenClaw; Numbers; 2026-10-13): An agent called Donna triaged three email accounts for 30 days, flagged urgent mail on Telegram, and drafted routine replies for approval. Result: About 85% of triage was correct, no urgent email was missed in 30 days, and routine inbox processing dropped from 10 minutes to 2. - [Claude Code chief of staff](https://agenticfeats.com/c/claude-code-chief-of-staff.md) (Claude Code; Claim; 2026-10-13): Claude Code, with Gmail, Calendar, Todoist and Maps MCP servers, triages email, preps the calendar overnight, and dispatches six parallel agents each morning. Result: By 6:15 AM the task list is current and the calendar has drive-time events. A 45-minute morning routine is replaced, at about $100 a month. - [PDF form filling skill](https://agenticfeats.com/c/pdf-form-filling-skill-claude-code.md) (Claude Code; Numbers; 2026-10-13): Claude Code fills out PDF forms from supplied data, including batch runs, then the author packaged the workflow as a reusable PDF filler skill. Result: A W-9 was filled and verified from plain-text data, and three batch W-9s were produced in about thirty seconds without clicking any fields. - [CI failure triage agents](https://agenticfeats.com/c/ci-failure-triage-agents-openclaw.md) (OpenClaw; Numbers; 2026-10-13): OpenClaw agents watched GitHub Actions failures, classified them, and posted analysis and issues, then grew into test generation, coverage scanning, and self-healing locators. Result: Time to diagnose a CI failure fell from 45 minutes to 6, and test flakiness dropped from 8% to 0.8%. - [Office grocery ordering via ChatGPT](https://agenticfeats.com/c/office-grocery-ordering-via-chatgpt-openclaw.md) (OpenClaw; Shown; 2026-10-13): An OpenClaw assistant named Gila collects office grocery requests from Slack, then uses ChatGPT's Instacart app to build the cart and post the link back. Result: Gila ordered fresh office groceries through the ChatGPT Instacart app, using the card already on file, with a human approving first. - [Dispatch phone-to-desktop tasks](https://agenticfeats.com/c/dispatch-phone-to-desktop-tasks-claude-cowork.md) (Claude Cowork; Claim; 2026-10-13): A Fortune editor used Claude Dispatch, a Cowork feature linking phone to desktop, for a month to pull files, triage email, and prep meetings. Result: From their phone, the author found lost desktop files, got key emails summarized, and ran Notion and spreadsheet tasks, cutting inbox clutter. - [Solo product migration setup](https://agenticfeats.com/c/solo-product-migration-setup-claude-code.md) (Claude Code; Claim; 2026-10-13): Claude Code, configured with layered CLAUDE.md files, memory, and agent teams, planned and carried out a multi-repo product migration for one engineering manager. Result: The author consolidated 4 legacy repos into 2, moved MySQL to PostgreSQL, upgraded the full stack, and wrote full test suites, solo. - [Fixing flaky CI tests overnight](https://agenticfeats.com/c/fixing-flaky-ci-tests-overnight-claude-code.md) (Claude Code; Numbers; 2026-10-13): Claude Code monitored 30 days of CI results, found the worst flaky tests, narrowed reproductions, and reran fixes overnight to verify them statistically. Result: A legacy pipeline with a roughly 40% pass rate lost 20 minutes of runtime and gained 35% pass rate in weeks. - [Travel agent that learns from trips](https://agenticfeats.com/c/travel-agent-that-learns-from-trips-hermes-agent.md) (Hermes Agent; Shown; 2026-10-13): Hermes Agent plans trips using stored traveler preferences, researches flights and hotels by web search, and rewrites its own memory after a post-trip debrief. Result: After a debrief on a 6-hour layover, the agent added a 3-hour layover cap and applied it unprompted when re-planning the next trip. - [Busywork day handed to Cowork](https://agenticfeats.com/c/busywork-day-handed-to-cowork-claude-cowork.md) (Claude Cowork; Claim; 2026-10-13): Claude Cowork sorted a 200-file folder, built a weekly metrics report from several sources, and turned messy notes into a structured draft. Result: The folder was renamed and deduplicated, the report draft needed only light editing, and the notes became a structured draft with the synthesis done. - [Scout automates CRM pipeline hygiene](https://agenticfeats.com/c/scout-automates-crm-pipeline-hygiene.md) (Other; Shown; 2026-10-13): Microsoft Scout, an agent built on OpenClaw, opened a browser, inspected CRM opportunity records, exported a summary to SharePoint, and posted compliance findings to Teams. Result: A CRM pipeline check that needed a manual export plus a separate analysis tool now runs end to end, with out-of-compliance entries flagged in Teams. - [Internal sales AI for Cursor reps](https://agenticfeats.com/c/internal-sales-ai-for-cursor-reps-custom-agent.md) (Custom agent; Numbers; 2026-10-13): Cursor's Head of Enterprise Growth built ChatGTM, an internal chat tool that pulls CRM, call, and web data to draft outreach and research accounts. Result: Used across Cursor's 400+ person sales org, it reportedly helps SDRs book 3x more qualified meetings and cuts AE ramp time by over 50%. - [Slack issue triage to Codex fix](https://agenticfeats.com/c/slack-issue-triage-to-codex-fix.md) (Codex, Custom agent; Numbers; 2026-10-13): An internal ops agent triaged a Slack issue, passed it to a Codex agent, and then verified the fix back in Slack. Result: The Codex agent resolved the issue in 40 minutes, and the ops agent confirmed the fix in Slack. - [Home service business ops](https://agenticfeats.com/c/home-service-business-ops-grok-bot.md) (Grok Bot; Numbers; 2026-10-13): Grok Bot was connected to phones, Reddit, Notion, and calendar to summarize calls, spot leads, and plan the week. Result: Call summaries now post to Slack with tags and to-dos, which let the author downgrade their phone plan and save $250. - [Lindy for recurring ops work](https://agenticfeats.com/c/lindy-for-recurring-ops-work.md) (Lindy; Shown; 2026-10-13): Lindy, connected to Slack, Notion, Gmail and Calendar, analyzed a guide library, built a staff meeting deck, and created a Notion guide idea from Slack. Result: Lindy produced a finished Monday staff meeting deck as a web link in 10 to 15 minutes and created a Notion page after approval. - [Find why a process dies](https://agenticfeats.com/c/find-why-a-process-dies-codex.md) (Codex; Claim; 2026-10-13): Codex CLI, run on the author's Mac, connected to their Ubuntu server over SSH and checked kernel logs to find why Claude Code kept dying. Result: Codex traced the kills to the Linux OOM killer on a 2 GB droplet with no swap, and listed fixes without changing anything. - [Pre-deploy release gatekeeper agent](https://agenticfeats.com/c/pre-deploy-release-gatekeeper-agent-custom-agent.md) (Custom agent; Shown; 2026-10-13): The author built SHIPCHECK, a ReAct agent that queries a Sanity Content Lake over MCP to check whether a service upgrade is safe before deploy. Result: On a payment service v2 to v4 test, it caught an outdated SDK, returned DO NOT SHIP YET, then SAFE TO SHIP in simulation. - [Email calendar scheduling assistant](https://agenticfeats.com/c/email-calendar-scheduling-assistant.md) (Other; Shown; 2026-10-13): The author's AI assistant reads forwarded emails in a labeled Gmail inbox, emails recipients to coordinate times, and adds Zoom bridges. Result: After a few months of iterations, the author has a working assistant, open sourced so others can have their AI configure it for their needs. - [Shared team Hermes agent](https://agenticfeats.com/c/shared-team-hermes-agent.md) (Hermes Agent; Claim; 2026-10-13): Hermes Agent spread from the author's own use to their dev, co-founder, and a shared team agent named Robert. Result: Robert pulls context from calls, helps with approvals, and creates tasks in Multica, backed by shared memory. The non-technical co-founder reportedly gets more done. - [Marketing ops with Grok Bot](https://agenticfeats.com/c/marketing-ops-with-grok-bot.md) (Grok Bot; Numbers; 2026-10-13): Richard Purcell set up a chief-of-staff Grok Bot with specialist bots for HubSpot, Apollo and lead handoff at a FinTech company. Result: In five hours the bots sent a newsletter, pulled Apollo visitors to SDRs, and replaced five stalling tasks, saving about an hour daily. - [Order logging and commission register](https://agenticfeats.com/c/order-logging-and-commission-register-grok-bot.md) (Grok Bot; Shown; 2026-10-13): Grok Bot logged a sales order from one call, cross-checked the PI, PO and bank slip, and set up a commission register for finance. Result: It caught a one-day error in the deposit date, then also built a packing list from a two-line factory message and drafted the client email. - [Meeting minutes into NotebookLM](https://agenticfeats.com/c/meeting-minutes-into-notebooklm-claude-in-chrome.md) (Claude in Chrome; Numbers; 2026-10-13): Claude in Chrome, on the Haiku model, extracted exact text of three years of W3C task force meeting minutes into markdown for NotebookLM. Result: Three years of minutes (2022-2024) were extracted in about 3 to 4 hours across three sessions and loaded as one source per year. - [Agent workforce for unstaffed functions](https://agenticfeats.com/c/agent-workforce-for-unstaffed-functions-lindy.md) (Lindy; Numbers; 2026-10-13): Ankor's CEO built Lindy agents covering lead research, technical support, content and marketing, and meeting prep, work too small to justify dedicated hires. Result: Ten agents were live in the first week and 20-30 run today. The CEO estimates at least a 5x return on investment.