Luise Freese

Blueprint for a successful AI project

AI projects fail for boring reasons: unclear goals, messy data, short-term thinking. This post offers a practical blueprint to avoid those traps and build something that actually works—and lasts.

A hill to die on: there are no tiny changes

In software, there’s no such thing as a harmless tweak. This post takes a look at the hidden costs of layout changes, typo fixes, and 'just one more thing' requests. It breaks down why every change, …

Unmeasured: Part 0 - More ain't better

When overwork is a badge of honor and AI automates output, we’re still measuring productivity like it's the 20th century. This first post in the Unmeasured series confronts the culture of "more" and …

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