Why this eBook exists
Most AI guides sell you a feeling. This one doesn't.
Since 2024 I've written a daily newsletter about AI for people who make money with it — not talk about it. Along the way I've tested hundreds of tools, deleted dozens, and noticed: most of what gets sold as a “2026 must-have” solves a problem you don't actually have.
This eBook is the distilled version for one person: the solopreneur whose day has 24 hours and who won't waste any of them on tool demos.
What you will NOT find here
- Prompts that supposedly “automate your business” but really just produce a nice paragraph.
- Tool lists with 50 entries, 47 of which you'll never open.
- The promise that AI makes you rich while you sleep.
What you will find: a way of thinking that separates substance from show — and a few concrete routines that save hours.
The 3-question bullshit filter
Before you take an AI tool, course or trend seriously, run it through three questions. If it survives all three, it's worth a second look.
1. What exactly does it replace?
Not “what can it do”, but: which concrete task you do manually today disappears? If the answer stays vague, it's show. If it's concrete, it's substance.
2. What does it cost me when it's wrong?
AI hallucinates. Always. The only question is how expensive a mistake is. Proofreading a draft post costs 30 seconds — delegate it. Copying a tax figure unchecked costs real money — verify every line.
3. Does it work without me — or with me?
“Fully automatic” is almost always a lie. The tools that actually carry their weight are accelerators: you stay the head, AI does the dull work in between.
AI is an intern with a perfect memory and zero judgement. Treat it that way — and you'll rarely be disappointed.
Your minimal AI stack
You don't need 20 subscriptions. You need four building blocks.
1. One good language model (required)
Claude or ChatGPT, paid tier. Your workhorse for writing, sorting, summarising. One is enough — learn it properly instead of constantly switching.
2. An automation hub (optional)
Make.com or n8n. This is where you glue services together. Only add it once you genuinely do a task manually three times a week.
3. A place for your knowledge
Notion, Obsidian, whatever — as long as it's searchable. AI is only as good as the context you give it.
4. GDPR clarity (non-negotiable)
Before you dump customer data into a tool: where are the servers? Is there a data-processing agreement? A GDPR breach costs more than any productivity gain.
Rule of thumb: process first, tool second. Whoever starts with the tool goes looking for a problem to fit it.
Five routines that actually save time
No magic — just routine work you delegate.
- Pre-sort your inbox: AI drops mails into three buckets — now, later, ignore. You still decide.
- Turn one long-form into three formats: one input, several outputs. You edit instead of starting from zero.
- Write proposals faster: a template plus the key facts, AI builds the draft. 45 minutes become 10.
- Bundle research: one clear brief with a sources requirement — then check the sources yourself.
- Mirror your own week: AI as a sober mirror, not a coach throwing confetti.
Every routine keeps you as the final instance. AI delivers the raw material; your judgement makes the product.
Seven hype traps
- Tool-collecting addiction. Ten half-learned tools are slower than one you've mastered.
- The autopilot myth. “Runs by itself” usually means “breaks by itself when you're not watching”.
- Prompt packs for €47. A good prompt is a clear task — you can write it yourself, for free.
- Vanity output. Reach without substance is still emptiness.
- AI as a strategy substitute. A model won't decide for you who you want to be.
- Blind trust in numbers. AI confidently states statistics it invented.
- FOMO as a business model. Whoever scares you about missing out is selling you the cure too.
The uncomfortable truth: many who talk loudly about AI earn their money from the talking — not from the AI.
Where to go from here
If you've read this far, you already have the most important skill: patience for substance over the reflex for hype.
This eBook is a snapshot. AI changes weekly. What stays is the mindset: ask concretely, weigh the risk, judge for yourself. That's exactly what I do every weekday in the newsletter.