Trajectory

How an operator's metrics change over time. The temporal dimension of operator measurement.

Time-series of token pillars across windows for a given operator.

Trend slopes, volatility, adaptation rates, regime changes.

Operators adapt over time — their token cascade efficiency changes as they learn, switch tools, or change workflows.

Compare early-window vs late-window metrics for the same operator.

Metric slopes over time, volatility, adaptation events.

If metrics are stationary across all time windows for all operators, trajectory is not meaningful.

Field data shows non-stationary operator trajectories.

Trajectory is confounded with tool/model changes and task selection shifts.

Upsilon adaptation analysis, SigRank time-window methodology. Architecture: mos2es.com/architecture.