A growing library of long-form thinking on systems, strategy, and execution.
AI is most useful when treated as an execution layer: it turns intent into repeatable workflows, reduces coordination cost, and makes decisions easier to test. The edge comes from system design—prompts, inputs, and feedback loops—not from novelty.
Intelligent idealism starts with a simple constraint: values must survive contact with reality. This note outlines a method for translating ideals into operating principles, then into experiments, and finally into measurable outcomes without losing the original intent.
Off-grid entrepreneurship is less about isolation and more about optionality. By owning key dependencies—energy, bandwidth, cashflow, and skills—you reduce fragility and can choose your pace. The focus is resilience first, scale second, with simple systems that travel well.