Hustlyst

Learn the basics

From "what even is this" to using it properly

10 short guides that explain the ideas behind the playbooks. No jargon, no code, nothing that assumes you have done this before.

Part 1 · 9 min

What AI actually does, in plain words

No maths, no jargon, no predictions about the future. Just what these tools are doing when you type into them, and what that means for the work you hand them.

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Part 2 · 8 min

How to ask an AI for something useful

Most disappointing AI output is a request problem, not a tool problem. Five parts, one habit, and the reason your first answer is always the worst one.

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Part 3 · 7 min

Choosing your AI assistant

ChatGPT, Claude and Gemini all cost the same and all do the job. Here is how to pick one in ten minutes and stop reading comparison articles.

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Part 4 · 7 min

Your first three tools

Not thirty. Three. One assistant, one place for tasks, one that defends your calendar - and how the choice shifts depending on the job you do.

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Part 5 · 8 min

Writing with AI without sounding like AI

Everyone can now spot the default voice: smooth, confident, empty. Here is what gives it away, and the working method that keeps the writing yours.

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Part 6 · 8 min

Using AI at work without getting into trouble

The rules nobody explains at work: what is safe to paste in, what is not, and how to check whether your company already has a policy you are breaking.

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Part 7 · 7 min

AI in meetings: notes, recorders and consent

Note-takers are the first AI tool most teams adopt and the one most likely to cause an awkward conversation. What they are good at, where they fail, and the etiquette.

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Part 8 · 8 min

How to vet a tool in ten minutes

The routine behind the Before You Install section in every review. Six checks, in order, none of which need a technical background.

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Part 9 · 9 min

Automating the boring parts, without code

What automation actually means when nobody in the room is an engineer, which three jobs are worth automating first, and the honest maths on whether it pays off.

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Part 10 · 8 min

A system that survives a bad week

Most productivity systems are designed for a good week. The test that matters is what happens on the day everything goes wrong, because that is the day the system either holds or gets abandoned.

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