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, …

Want to work with me?