Hi there,

Welcome to the very first Good AI Guide newsletter. I have to be honest: when I set up the newsletter form on the site, it was mostly a proof of concept. I didn't actually expect anyone to sign up.

But to my surprise, some of you did. Including my mom. So here we are.

My goal with the Good AI Guide has always been simple: to cut through the noise. There is so much sanitized, corporate fluff out there about AI, and just as much useless hype. I want to share practical, grounded insights that actually help you work better and understand where this technology is going.

Since this is the first email, I have quite a few updates to share. Here's everything new on the site since the beginning of March.

🧭 Find Your AI Fluency Level

Everyone's AI journey is different, and there's no wrong place to be. I recently published the AI Fluency Levels — a simple framework mapping 5 stages from "AI Curious" to "AI Builder."

Not sure where you stand? I built a quick, 2-minute AI Fluency Quiz. Take it to get a personalized breakdown of your current level and recommendations on what to explore next.

✍️ New Guides

I've added several new guides to help you rethink how you approach AI at work. I really recommend reading these—I've poured all my knowledge into them. This is the exact same material I use in my speaker engagements and teach at the University of St. Gallen and the University of Applied Sciences in Zurich. You get all the key insights for free right here:

• Let the AI Interview You
  The biggest bottleneck in making AI useful isn't technology — it's getting your knowledge out of your head and into a format AI can work with. Here's a practical method to fix that.
• The Research Pipeline: Perplexity + Claude
  Most people use AI tools in isolation. Here's the workflow I use daily — Perplexity for sourced research, Claude for deep analysis — and why the combination is worth more than either tool alone.
• Lessons from 300,000 Enterprise Chatbot Conversations
  I spent 1.5 years building and running an AI chatbot at a major Swiss insurance company. Here's what actually matters when building AI for the enterprise (spoiler: it's mostly not the technology).
• Code vs. Automation vs. AI
  Not everything needs AI. Not everything needs custom code. Here's the framework I use to decide what goes where.

🛠️ New Tools on the Radar

I've also added a couple of tools that have become essential to my workflow:

• n8n: This open-source automation platform is the backbone of our stack. It's incredibly powerful for mixing deterministic automation with LLM-powered steps.
• Replit Agent: An autonomous coding agent that builds full applications from natural-language descriptions. It's wild what you can build without setting up a dev environment.

🔄 Updated Content

Things move fast in AI, so I've also gone back and updated several existing guides and tool reviews to reflect the latest reality. The guide on Building Your Company AI OS got a refresh, and I've updated my reviews for Replit Design Mode and Claude Cowork.

Thank you again for subscribing and coming along for the ride. I hope these resources provide some real value to your week. Let me know what you think. And if we triple the subscribers, I might even send another newsletter.

Best,
Fabian