These articles explore how we think about problems, decisions, and the role of AI in shaping both. They are not definitive answers, but structured reflections drawn from practical experience—highlighting where thinking breaks down, where it improves, and how clearer reasoning can make a difference.
Why thinking clearly is getting harder in the alogorithm world
The internet is optimised for reaction, not reasoning. As AI accelerates cognitive offloading, the risk isn’t just misinformation—it’s unexamined thinking. Discover how a simple pause (C-it) and structured reasoning (RESOLVE) can help you stay in control of what you think—and why.
AI governance and human responsibility
AI can analyse information and generate options, but responsibility for decisions must remain human. Understanding this principle is becoming central to the future governance of AI systems.
Why framing the problem is hard
Most hard problems do not begin with bad answers. They begin with the wrong frame. This article shows how the first definition of a problem shapes what gets seen, what gets missed, and whether people ever reach the real issue.
Why the decision making unit matters
In contested situations, better analysis does not automatically create agreement. This article explains why decision-making units, authority structures, and legitimate decision rules matter in families, organisations, and public institutions.
Why some problems stay stuck
Some problems persist not because nobody is trying, but because the system keeps recreating the outcome. This article explores structural persistence, hidden trade-offs, and why surface fixes often fail.
The real value of AI prompting today
Better prompting improves many first-pass answers. Yet on complex, contested, or high-consequence issues, the deeper value often comes from structured reasoning, framing discipline, and expert human iteration