What began as a graduate thesis question evolved over decades into a working hypothesis: many patterns governing complex systems are not domain-specific, and some may be universal.

In 2024, using LLM-assisted literature triage plus manual review, I began mapping candidate mathematical and dynamical signatures that appear across multiple domains. Examples include phase transitions, boundary reorganization, path dependence, hysteresis, and other directionality-adjacent markers. The goal is not rhetoric. It is measurement-layer clarity: operational definitions, explicit evaluability rules, and evidence traceability so later hypothesis testing and theory evaluation can be done reproducibly.

The Universal Energy Field (UEF) framework emerged as a modeling architecture for describing recursion, saturation thresholds, and boundary dynamics across physics, biology, neuroscience, and consciousness research. Where domain-specific approaches see separate mechanisms, cross-domain pattern analysis looks for shared structure and testable correspondences.

This site documents that investigation, with a deliberate separation between (1) theory development and (2) measurement and audit protocols. A published measurement-layer audit study now anchors the methods posture: what is defined, what is evaluable, what is traceable to evidence, and what remains untested.