We write about what we build daily — and what's changing right now for owner-led mid-market companies in the DACH region. No hot takes, no hype cycles. Insights from operational reality.
Eigenes LLM aufbauen oder kommerzielle KI-API einkaufen? Was die Zahlen zu Kosten und Modellqualität sagen, wo DSGVO und EU-Datenresidenz den Ausschlag geben — und wann sich Eigenbetrieb wirklich lohnt.
Der Klick stirbt, die Antwort entscheidet. Warum 50 % der Deutschen KI-Chats statt Google nutzen, was AEO von SEO unterscheidet und wie du in ChatGPT, Perplexity und Google AI Overviews zitiert wirst.
DeepSeek V4, GPT-5.5, Claude Opus 4.7 im Vergleich. Wann lokale Modelle für inhabergeführte Unternehmen Sinn machen — und wann nicht.
Why real GitHub issues matter more than toy tasks — and what companies should learn from SWE-bench.
The business comparison: assistance, agent work, limits and useful company workflows.
Demos are easy. Maintainable software needs structure, tests, architecture and ownership.
Our proof: not just talking about agents, but working daily with specialized roles.
The pillar article on benchmarks, SWE-bench and the difference between tools and managed agent systems.
MCP sounds like tech insider jargon but is probably the most important development of the year for anyone wanting to connect AI to business systems. What it is, and why it matters now.
When consultant decks throw around "Agentic AI", "Autonomous Workflows" and "Multi-Modal Systems", a reality check pays off. We translate the buzzwords into operational reality — showing where the hype holds, and where it tips over.