Writing
Notes & ideas.
Notes on AI, data, teaching, and everything in between.
Foundations
Long-form guides on the topics I get asked about most often.
AI for SMBs: What actually works (and what doesn't)
A hands-on guide for small and mid-sized businesses: which AI use cases pay off today, which don't - and how to get started without buzzword bullshit. Written by a Professor of Applied AI with 15+ years of industry experience.
Building AI Agents: A practical guide for 2026
A concrete, technical guide to building a production-ready AI agent - from use-case selection to the first prototype to the eval framework. With code examples and decision aids from real projects.
ChatGPT vs. Claude vs. Gemini in 2026: Which model for which job?
A sober comparison of the three leading AI models in 2026 - ChatGPT (GPT-5), Claude 4.6, and Gemini 2.5 - with clear recommendations for typical scenarios. From a Professor of Applied AI with hands-on experience across all three model families.
Prompt Engineering: The fundamentals that actually matter
A compact, field-tested guide to prompt engineering - the techniques that make a real difference in real projects, without buzzword hype. From a Professor of Applied AI at HdM Stuttgart.
What is an AI Agent? A definition from practice
A clear, hands-on definition of AI agents - what they are, how they differ from chatbots, when they work and when they don't. Written by a Professor of Applied AI.