From One Script to 14 Agents in 15 Days

The Starting Point Was Embarrassingly Simple

Okay so—this wasn’t supposed to be a thing. I’m a computer engineer who works inside finance. I’d been watching how compliance teams handle blockchain transactions and I kept thinking the same thing: there has to be a better way to flag suspicious activity than manually checking addresses against a list.

So I wrote a Python script. One file. Maybe 80 lines. It pulled a few transactions from Etherscan, compared addresses against the OFAC sanctions list, and printed out which ones matched. That was it. That was the whole “product.”

That was Day 0. Fifteen days later, I had 14 autonomous agents running on a Dell laptop, generating 438 reports, monitoring 190 blockchain wallets, executing paper trades, writing content drafts, stress-testing their own security, and talking to me through Telegram—all while I was at work.

Here’s the thing nobody tells you about building with AI: the hard part isn’t the code. The hard part is that every solution reveals three more problems, and those problems are more interesting than what you were originally doing. You follow the dots. One to the next to the next to the next. And you look up and suddenly you’ve built something you didn’t plan to build.

The Numbers (Because I Know You’re Skeptical)

      14