show system urgency, density, and activity across a dashboard
gravity thermal pressure diffuse memory
Concept study · data-bound
System Weather Study
Concept study
A dashboard read as weather. Metric cards are records bound through bindData();
the Attention Weather pattern turns each card's heat and
pressure into field state, so hot or overloaded metrics gain weight and calm regions stay quiet —
still a legible grid with the field off.
Data honesty
- Data source
- Synthetic. The metric cards, their heat and pressure values, and the anomalies are hand-authored sample records — not a real monitoring feed.
- Snapshot
- Fixed sample data defined in-page; no committed snapshot and no snapshot script feeds this study.
- Live refresh
- No external data, so no live refresh. The field re-settles as you toggle it or reduce motion.
- Not claimed
- The field turns supplied heat and pressure into weather. It does not monitor a real system or decide what is healthy — the metric values are illustrative inputs.
BeforeA plain grid of metric cards.
AfterCards develop heat and pressure by activity; anomalies stand out; calm regions stay quiet.
InspectLive
bindData().inspect() — records · bodies · edges. starting…
Field off stops the simulation and the cards read as a plain grid — different from turning a single projection off, where the field keeps running and only one drawn expression stops.
System pulse—
Patterns applied
Each is a real FieldPattern from the catalog. The ones marked
live are driven through applyPattern() on this page; the
rest are the conceptual family this study embodies.
surface unusual behavior as local heat and instability
thermal diffuse pressure morph memory
reveal approaching risk before it becomes an error
gravity pressure morph diffuse memory
reveal constraints, blockers, and coupled states
link tether charge pressure
show the living rhythm of a product, workflow, or data system
propagate thermal memory cohesion spawn