tylers-blogger-blog

It started as a joke: "Let's see if the bots can survive a Friday night in our office." We'd been testing AI agents in small, polite ways-summarize a doc, draft an email, pull a quick report. Useful, sure, but not exactly game-changing. Then we looked at the calendar: a Monday exec update, a customer renewal call, a backlog of support tickets, and a spreadsheet that always seemed to multiply after 5 p.m. So we did the thing you're not supposed to do: we let a handful of AI agents run while we went home. The Setup: A Few Agents, Clear Boundaries, Real Work We weren't trying to build "Skynet for spreadsheets." We created three agents with narrow jobs, strict permissions, and obvious stop signs. 1) Inbox Triage Agent (read-only + draft-only): It scanned a shared inbox, labeled threads (billing, bug, onboarding), extracted key details (customer name, urgency, due date), and prepared draft replies using our saved tone guidelines. Nothing sent automatical...

It started as a "tiny experiment" we promised wouldn't disrupt anything. Two weeks later, we realized our AI agents weren't just helping-they were quietly becoming the most reliable teammates in the building . The surprising part wasn't that the agents could write copy or summarize notes. It was how they stitched together dozens of small, annoying tasks that normally fracture a day: the follow-up emails, the "can you pull that data again?" requests, the meeting prep, the status updates. Suddenly, our best people were doing more of the work only humans can do. The moment it clicked: less busywork, more momentum Our first win was embarrassingly simple: meeting-to-action automation. Before: someone took notes, someone else "cleaned them up," tasks got lost, and we'd spend the first 10 minutes of the next meeting re-litigating decisions. After: we used an AI agent that listened to the meeting transcript, produced: A 5-bullet executive summary D...