Every Friday, Lindy sends me a report.
It shows how many tasks my agents completed that week and what that equals in saved hours. It has become one of my favorite moments of the week. I open it like a game score.
January 30th, I opened it and saw 239 hours and 10 minutes.
That was my new record.
To put that in perspective: 239 hours is roughly six full-time employees working a 40-hour week. All running quietly in the background while I went about my week.
But the number that actually matters? I started at two.
Two Hours a Week
When I built my first few agents, I was saving maybe two or three hours a week. An email draft here, a meeting summary there. Useful, but not exactly the kind of thing that changes how you think about work.
Then I unlocked a few more agents. Two hours became 20. Then 30. Then 40.
And somewhere around there, something shifted. It stopped being a setup task and became a game. I started asking myself: what else can I automate? What else is on my plate that an agent could handle? How do I push this number higher every single week?
That mindset change is what gets you from 40 hours to 239.
What the Agents Actually Handle
Here is what is running in the background right now:
- Email drafts — when someone reaches out, an agent reviews the thread and drafts a reply for me to review
- Meeting follow-ups — after every call, a summary goes out automatically with action items flagged
- Content research — agents pull relevant articles and notes before I sit down to write
- CRM updates — new contacts get logged with context from the meeting transcript
- Daily briefings — every morning I get a digest of what is on my calendar and who I am meeting
- Scheduling coordination — a virtual assistant handles back-and-forth availability emails
None of these are exotic. They are the kind of repetitive tasks that eat up an hour here and an hour there. But compounded across a full week, they add up fast.
The Human-AI Division of Labor
Here is the thing I keep coming back to: the agents freed me to do more of the stuff AI cannot do.
Networking. Showing up in person. Strategy conversations. Meeting with clients and partners face-to-face. The relationship-building work that requires actually being human.
When I think about my week now, that is where most of my energy goes. The agents handle the admin layer. I handle the human layer.
This is what I mean when I talk about agent as teammate. It is not about replacing yourself. It is about designing a clear division of labor so you are focused on the highest-value work only you can do.
How to Actually Get There
The biggest mistake I see people make is thinking they need a big system before they can start.
You do not. The principle I come back to is life gets better one agent at a time. You build the first one. You see it work. You build another.
Week one might be two hours. That is fine. Keep the scope small and make sure it actually runs. The worst version of an agent is a complicated one you never trust enough to turn on.
Here is a rough path that works:
- Pick your most repetitive task — the one you do every week that requires almost no judgment
- Build the smallest version of that agent. Just one trigger, one action.
- Run it for two weeks. Watch it. Adjust.
- Only then build the next one.
That is the whole framework. The compounding happens naturally once you start stacking.
The Game
The game aspect matters.
Framing it as a score I am trying to beat each week kept me building when I might have stopped. Instead of treating agent automation as a project to complete, I treated it as a practice to keep improving.
239 hours did not happen because I had a master plan. It happened because I kept asking one question: what is next?
If you have not built your first agent yet, that is the starting point. Not the system. Not the plan. Just the first one.
Build one. Watch it save you two hours. Then build another.
The scoreboard takes care of itself.
