Luise Freese

Tired of the AI hype machine

LinkedIn is full of AI vision posts, chatbot demos, and elephant memes. But inside real organizations, most AI projects stall at generic chat interfaces that solve nothing. This post cuts through the …

Should I automate it?

Automation promises efficiency—but without the right context, it can quietly scale chaos. This practical (and slightly cheeky) guide walks you through when to automate, when to pause, and when to call …

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, …

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