What AI Automation Actually Is
pulling reports, routing customer questions, writing first drafts.
The difference from older tools is that AI can make small judgment calls
it reads context instead of just running a fixed script.
Hi, I’m Marcus Rivera
I spent eight years running logistics for a distribution company in the Bronx. Every week, same story. Manual data entry that took half a morning. Follow-up emails nobody remembered to send. Spreadsheets sitting in three different folders that never synced up. When I finally started using AI tools to fix those problems, I wasn’t expecting much. Then the hours became minutes. The errors stopped. My team had actual time to think again. I built this site to share what I learned in plain English, with no agenda.
FOR EVERYONE
You Don't Need a Tech Background.
Most of these tools were built for people who are tired of doing things manually, not for engineers.
A small restaurant in Astoria can run the same type of automation as a company in Midtown.
The tools don’t care who you are.
They don’t ask about your degree. They don’t care if you’ve ever touched a line of code.
Maybe you’re sick of typing the same reply five times a day, or orders keep slipping through the cracks, or you just want to close up and actually go home on time for once.
Show it the problem once. That’s it. No reminders, no nagging, no forgetting to follow up.
What You’ll Learn Here
Real workflows. Guide to getting started with Zapier, Make, ChatGPT, and n8n.
Unbiased opinion of how these tools perform and what their limitations will be
Nothing here is copied from a product marketing page.
The NYC Angle
Rent is high. Customers move fast. Teams are small and expected to carry a lot. I write for that reality. The examples here are built around businesses that actually exist in this city not hypothetical start-ups in a coworking space. If you run something in New York and you’re tired of doing the same task on repeat, you’re in the right place.