James Kovalenko

Systems Engineer · AI Architecture · Energy Infrastructure

I study why systems with extraordinary capability produce ordinary results. I formalize the patterns and build the infrastructure that tests them.

My current work is The Progress Function, a formal model of civilizational advance that treats progress as a multiplicative interaction of six structural variables. The framework is diagnostic: given a system, it identifies the binding constraint and specifies which intervention has the highest return. A working paper is in circulation with policy researchers. A country-level measurement index is in development.

I also build what the thesis describes. AI operational infrastructure, agentic architectures, automated workflows, and reporting systems. 100+ systems deployed for organizations from energy companies to think tanks. The building informs the theory. The theory sharpens the building.


Current Work

Research
The Progress Function. A formal model of civilizational advance. Working paper, measurement framework, country-level diagnostics.
Publication
The Progress Function on Substack. Applied diagnostics, live data, research notes. The framework develops in public.
Platform
stresstest.dev. Adversarial AI reasoning. Submit a claim, watch it get pressure-tested, read the verdict.
AI Systems
Operational infrastructure for organizations deploying agentic AI. Agent architectures, verification pipelines, knowledge systems, governance frameworks.
Energy
Infrastructure diagnostics. Grid interconnection analysis, data center site assessment, signal architecture for energy markets. Virginia-based.

Background

Energy engineering. AI orchestration. Operational infrastructure. The work has spanned production AI systems for policy research institutes, prediction market analysis pipelines, agentic infrastructure for institutional clients, and energy deployment diagnostics.


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