My Code, My Test, and My Prompt All Agreed. All Three Were Wrong.
I tried to replace my receipt model with one 18× cheaper. The bug turned out to be in my own check, and the real lesson was about trusting AI to verify itself.

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I tried to replace my receipt model with one 18× cheaper. The bug turned out to be in my own check, and the real lesson was about trusting AI to verify itself.

Three examples from my AI-powered job board pipeline where the output looked right but wasn't.
Not all models are good at the same thing. Here's the data.

How AI helped me stay on Apify's free tier
A Look at the Barbados Traffic Analysis Challenge: Using ML to Improve Traffic Flow

Five weeks ago, I launched GlobalRemote — a curated job board focused on interview transparency for remote developers. The feedback was encouraging: developers loved knowing what to expect before applying. I expanded from 7 manually verified jobs to ...
A few weeks ago, I applied for a Backend Engineering role, expecting a technical interview similar to what I had experienced before—like the collaborative pair programming session I had when joining Automattic, where a developer and I worked together...
My experience converting a monolithic app to microservices