AI agents for operations: 30 real examples

Operator collected data for about 25 of 100 schools before the author stopped it; o1 then built a working chart dashboard from that data.

Provisioning worked after two fixes. The MCP hid the real errors, so apply ran through Cursor's Run tool, which suggested the fix.

Manus succeeded on 8 of 11 booking engines, three of those with delays, and failed on D Edge, Simple Booking and Travelanium.

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.

The agent triages the inbox, schedules meetings, books flights, pulls Airtable data, scrapes exhibitor lists, and takes notes as a second brain.

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.

Cowork ran the script, fixed an error itself, and returned finished output files with no terminal or manual dependency setup from the author.

About 85% of triage was correct, no urgent email was missed in 30 days, and routine inbox processing dropped from 10 minutes to 2.

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.

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.

Time to diagnose a CI failure fell from 45 minutes to 6, and test flakiness dropped from 8% to 0.8%.

Gila ordered fresh office groceries through the ChatGPT Instacart app, using the card already on file, with a human approving first.

From their phone, the author found lost desktop files, got key emails summarized, and ran Notion and spreadsheet tasks, cutting inbox clutter.

The author consolidated 4 legacy repos into 2, moved MySQL to PostgreSQL, upgraded the full stack, and wrote full test suites, solo.

A legacy pipeline with a roughly 40% pass rate lost 20 minutes of runtime and gained 35% pass rate in weeks.

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.

The folder was renamed and deduplicated, the report draft needed only light editing, and the notes became a structured draft with the synthesis done.

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.

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%.

The Codex agent resolved the issue in 40 minutes, and the ops agent confirmed the fix in Slack.

Call summaries now post to Slack with tags and to-dos, which let the author downgrade their phone plan and save $250.

Lindy produced a finished Monday staff meeting deck as a web link in 10 to 15 minutes and created a Notion page after approval.

Codex traced the kills to the Linux OOM killer on a 2 GB droplet with no swap, and listed fixes without changing anything.

On a payment service v2 to v4 test, it caught an outdated SDK, returned DO NOT SHIP YET, then SAFE TO SHIP in simulation.

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.

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.

In five hours the bots sent a newsletter, pulled Apollo visitors to SDRs, and replaced five stalling tasks, saving about an hour daily.

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.

Three years of minutes (2022-2024) were extracted in about 3 to 4 hours across three sessions and loaded as one source per year.

Ten agents were live in the first week and 20-30 run today. The CEO estimates at least a 5x return on investment.