
AI engineering through real projects. I share what I build, how it works, and what I learn from testing it.
| Platform | Pricing | Only free issues | Publishes | Weekly | |
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| Issues | 61 | Founded | a year ago | Last Issue | 13 days ago |
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(A quick update before we start 👀. I’ve been moving deeper into AI engineering, and I’ll be sharing more of that work. So yeah, expect more of this. The older data posts are staying, and this first project actually started with them.)
I h...
A company can miss its target and still have a strong year. It can also hit its target and still have a problem.
That sounds strange until you separate two ideas that often get mixed together: targets and forecasts.
A target is what the b...
If a company makes $120,000 in sales this month, that sounds useful. But is it a good result or a bad one? You cannot really tell yet.
Maybe the company made $90,000 last month. Now $120,000 looks like an improvement. Maybe the goal was $1...
Weather forecasters never say “it will rain tomorrow.” They say there is a 70 percent chance of rain.
That small change makes a big difference. It tells you rain is likely, but it also leaves room for a dry day. Nobody gets mad at the fore...
Working with data means working with real people, and real people are messy.
Every customer dataset needs a way to tell one person apart from another. That sounds simple until you try to do it.
Most teams end up choosing between three com...
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The writers behind this newsletter.
I’m Isaac Oresanya. I’m moving from data and reporting into AI engineering, building systems and writing about the decisions behind them.
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