I built FlowStateOS Companion as an experiment in treating human life as a system with measurable forces.

Instead of focusing on decisions or optimization, it works with a small set of core life forces (energy, meaning, freedom, connection, etc.) and helps users:

observe imbalances

evaluate drift or overload

reflect on how daily behavior affects system health over time

The goal isn’t advice or prescriptions, but making internal state legible the way an operating system exposes resource usage.

It’s intentionally non-performative and slow. No motivation layer, no scoring, no productivity framing.

I’m curious whether this kind of systems-level self-diagnostics is useful, or whether it collapses under real life complexity.

Link: https://yusufshunan.com/gpt

Feedback welcome, especially from people interested in systems modeling, human factors, or reflective tooling.