Coheron - Personal Observability System

What it is

Most self-tracking tools reduce complex human state to flat metrics — steps, mood scores, time logs. That creates dimensional collapse: important structure is lost and signals become misleading.

Coheron models state as a three-domain system:

• Internal — physiological and psychological state (Rest, Pain, Energy, Focus, Mood, Drive, …)
• External — environment and constraints (Safety, Barriers, Support, Demands, Money, Time, …)
• Output — behavior and actions (Follow-through, Reactivity, Activity, Rhythm, Recovery, …)

Each domain decomposes into Planes, each Plane into Indicators. The full structure is Domain → Plane → Indicator.

Four views

• Atlas — aggregate system state rendered as a field-based visualization (Gaussian density, contour)
• Input — direct manipulation of domain, plane, and indicator values
• Readings — change tracking and relative movement between sessions
• Graph — temporal trends across domains and signals

Current state

Core taxonomy, Atlas visualization, and APK builds are working. Input UI and persistence have known bugs in progress.

What This Demonstrates

• Structured observability model applied to personal state (not just logging)
• Field-based visualization (Gaussian/contour) over standard bar/line charts
• Domain → Plane → Indicator decomposition preserving multi-dimensional structure
• Local-first Flutter architecture with no cloud dependency