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How I decide whether a process is worth automating with AI
The biggest cost isn’t the model. It’s checking what the model produces. Here’s the simple calculation I start every automation conversation with.
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I don’t write often, and only about what I’ve tested in practice. Each piece answers one specific question.
Featured
The biggest cost isn’t the model. It’s checking what the model produces. Here’s the simple calculation I start every automation conversation with.
Swarm isn’t fashionable, but in a small team it often beats Kubernetes. Here’s how I weigh the choice and how I can tell it’s time to change it.
A green result from an automated tool only means it didn’t find what it knows how to find. Here’s what the rest of the audit looks like.
Comparing a subscription to the cost of a single sprint is the most common mistake in “build or buy” decisions. Here’s what else you need to count.
The “who tests this?” argument usually comes from nobody splitting the responsibility. Here’s a simple split that works well in small teams.
There are plenty of tutorials. What’s missing are pieces about why someone chose one option over another, and how it turned out a year later.
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