AI analysisfrom an operational angle.
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.
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.
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.