Hey, I'm Fabian.
I build products for a living, I lead AI strategy, and I teach people how to actually use this stuff. This site is where I write down what I learn: honest tool reviews, deep-dive guides, and the mental models that make AI finally click. What you won't find is marketing exhaust. I filter hard for the raw signal and leave the rest.
Fabian Mösli
CPO & Chief AI Officer / Zurich, Switzerland
My day job is product management at a Swiss healthtech startup, where I'm building my second company: strategy, specification, design, and full responsibility from idea to production at scale, with real clients and demanding users.
Wrapped around that is the question I can't stop chewing on: what most companies get wrong about AI, and how you actually get people to learn it, use it well, and pull real value out of it — for themselves and for the organization. That's the thread running through everything here.
"Not big in smalltalk, loves deep talk — will talk about all sorts of nerd things if you give him the impression that you're interested."
What I stand for
The perspectives that run through everything on this site. I earned every one of them the hard way: building, failing, and shipping in production.
AI strategy is a company strategy
Putting AI under IT guarantees it gets treated as a software rollout.
It has to be owned by top management — and they have to lead by example. Staff will know immediately if leadership mandated AI use but never actually uses it themselves. No hypocrisy.
Pull beats push
Don't mandate tools. Make AI so useful that people want in.
Find the curious early adopters, let them demonstrate value, and inspire the rest through visible results. Mandated tools that nobody asked for get ignored.
Mental models over prompt tricks
People fail with AI because they have the wrong mental model, not the wrong prompt.
AI is a brilliant new hire who knows nothing about your business. That single metaphor changes everything about how you work with it.
Knowledge is the real unlock
The difference between a useless AI and a transformative one is company-specific knowledge.
Three types to capture: external rules and regulations, product and operational knowledge, and the knowledge stuck in people's heads.
Learning by doing, not by watching
Real skill comes from inventing challenges and building things, not from tutorial videos.
This entire website exists because I believe that. Reading alone doesn't cut it. Videos have a fraction of the information density. You have to get your hands dirty.
Start before you're ready
AI knowledge compounds exponentially. You can't catch up later by throwing money at it.
The people who truly understand this are too busy building their own things. Hiring consultants won't bridge the gap.
Built in a weekend. That was the easy part.
This whole site is my proof of concept. It started on a quiet Saturday: the domain was sitting in my registrar account, and I wanted to know how far a product builder could get on a beautiful, content-rich site using nothing but modern AI tools and one weekend.
I have zero natural design talent. I genuinely can't match two hex codes. So I worked the way I keep telling everyone else to work: in a tight loop with my AI agents. We wrote it, structured it, and shipped it in two days.
Shipping it was the easy part. The real work is everything since: 28 guides written, 42 tools reviewed, and the quality held steady while the ground shifts every few weeks. Steter Tropfen höhlt den Stein, as we say in German — constant drops wear through stone. That upkeep is the whole argument of this site. It's what AI adoption actually asks of you, and it's the part nobody can shortcut.
How I filter tools
I put every tool through its paces to understand it: what it's actually for, who gets the most out of it, and how well it's made. I'm not hunting for where it cracks. I want to know whether it respects your time and does something the base model can't.
Guided learning over magic
I don't mind a steep learning curve or investing hours in configuring and customizing if the tool guides that learning beautifully. I look for products that respect your time and intent rather than trying to hide everything behind a fragile "magic button."
Product sense you can feel
As a product manager, I intuitively sense when a product is truly well-made and well thought out. I look for deep attention to detail, polished transitions, structured error handling, and logical flows that reveal the engineers behind it actually cared about the craft.
The wrapper test
If an application is just a shallow skin over a standard API with a bloated subscription, it gets filtered out. I focus on tools that build real architecture, deliver proprietary value, or solve problems in ways the base model can't.
Let's skip the smalltalk
My calendar looks like a Tetris game on level 15. But I'm always up for the right conversation.
Have a coffee with me
I genuinely enjoy exchanging ideas with people who are curious, building something, or just trying to figure out what AI means for their work. If you think we'd get along — reach out. No pitch required.
Invite me to speak
I've given talks and workshops on AI strategy, practical adoption, and what it actually takes to go from "we should use AI" to "AI is changing how we work." Events, company offsites, leadership retreats — let's talk.
Let me teach your team
I've led hands-on sessions where entire teams went from skeptical to building their first AI workflows in a single afternoon. No slides, no theory. Just guided practice with real tools.
Send me something interesting
Found a tool I should look at? Have feedback on the site? Spotted an easter egg? I read every message.
Fair warning: I don't respond to SEO pitches, automated newsletter swaps, or crypto/Web3 cold outreach.