I’ve spent years chasing patterns and connecting dots across domains. Somewhere along the way, I realized I’m drawn to synthesis—spotting what others miss, linking ideas across worlds, and turning complexity into clarity.
Most analysis stops at the obvious conclusion. I keep going.
I write about what happens three steps after everyone else stops thinking. The structural tensions. The feedback loops. The contradictions embedded in systems that look stable until they aren’t.
Current focus: AI automation economics. Specifically, the part where achieving full autonomy creates problems for everyone—including the people who think they’re building their escape route.
But the framework applies everywhere. Technology. Economics. Power dynamics. Anywhere people are racing toward outcomes they haven’t fully mapped.
Writing is my lab. Experiments, essays, and analysis where I test what I notice and see where it leads.
No fluff. No filler. Just clear analysis of where systems actually break versus where people think they break.