These articles form the conceptual foundation for the RESOLVE framework. Each addresses a specific failure mode in how we reason about complex problems — where framing breaks down, where AI use goes wrong, and where structured thinking makes a measurable difference. They are not opinion pieces. They are working papers, written to be challenged.
AI Won’t Think For You. But It Can Help You Think Better.
AI won’t do your thinking for you — and shouldn’t. But the right kind of back-and-forth changes how you reason, decide, and stress-test conclusions. Here’s how.
If Not Work: AI, Time and the Future of Contribution
AI will displace work. But the deeper question is what replaces the social systems work holds together. A framework for thinking about contribution, recognition, and available time.
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.