Insights
Practical thinking on AI, systemic coaching, and the future of knowledge work.
From AI prototype to daily use
A demo convinces quickly; daily use needs more. With a test set, a visible data path and human sign-off, you prepare a limited pilot.
Read → 25 October 2026How sovereign is your local AI?
A "local" AI is not automatically sovereign. Seven questions about data, models and operations help you make the decision in a way you can trace.
Read → 25 October 2026RAG, or what does your AI do when it searches
When an AI "looks something up online" or "searches your documents", those are different processes. Here is how to tell training knowledge, web search and RAG apart.
Read → 20 September 2026Is AI closing the door on entry-level jobs?
A Stanford study of millions of payroll records finds no wave of AI layoffs, but a growing gap for workers aged 22 to 25. What it shows, what it doesn't, and what it means for your team.
Read → 20 September 2026Can AI take your job?
A viral video says a Princeton study proves AI can't replace you. We read the paper and the counter-evidence. The finding is real, but the headline goes much further than the data.
Read → 19 September 2026From the email mountain to the daily memo
How an AI toolchain sorts 100 emails a day in the background, summarises them and turns them into ready-made tasks on your Kanban board. Your inbox becomes a daily memo.
Read → 19 September 2026Why saving time with AI isn't enough — the PERMA approach to better work
AI promises to free up hours every week. But what do you actually do with that time? Here's a framework for measuring real quality of work — not just speed.
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