Calibration Field
help users tune settings toward a stable target
Running the actual pattern live via applyPattern() — switch the substrate, stack overlays, watch the signals, or reverse the dynamics. Not a mock.
"Calibration Field" — help users tune settings toward a stable target. It has a gravity layer (universal attraction toward mass), a cohesion layer (flocking — pull toward neighbours), a pressure layer (relax crowding (incompressibility)), and a memory layer (a decaying trail / hysteresis). The active render stack is metaballs, field-lines, heatmap, particles.
A target state sits as a stable gravity well: as the user tunes, the current config moves toward or away from coherence, and over-tuned or contradictory settings add pressure that pushes it back out.
Copy this pattern
<field-root></field-root>
<div data-body="gravity" data-strength="1" data-range="400" data-feedback></div>
<div data-body="cohesion" data-strength="0.7" data-range="300"></div>
<div data-body="pressure" data-strength="0.6" data-range="260"></div>
<div data-body="memory" data-strength="0.4" data-range="260"></div> <script type="module">
import '@fundamental-engine/elements';
</script>
<field-root></field-root>
<div data-body="gravity" data-strength="1" data-range="400" data-feedback></div>
<div data-body="cohesion" data-strength="0.7" data-range="300"></div>
<div data-body="pressure" data-strength="0.6" data-range="260"></div>
<div data-body="memory" data-strength="0.4" data-range="260"></div> import { FieldField } from '@fundamental-engine/react';
export default function CalibrationField() {
return (
<FieldField>
<div data-body="gravity" data-strength="1" data-range="400" data-feedback />
<div data-body="cohesion" data-strength="0.7" data-range="300" />
<div data-body="pressure" data-strength="0.6" data-range="260" />
<div data-body="memory" data-strength="0.4" data-range="260" />
</FieldField>
);
} {
"id": "calibration-field",
"name": "Calibration Field",
"intent": "help users tune settings toward a stable target",
"naturalField": "gravity",
"primitives": [
"gravity",
"cohesion",
"pressure",
"memory"
],
"bodies": [
{
"body": "gravity",
"strength": 1,
"range": 400,
"feedback": true
},
{
"body": "cohesion",
"strength": 0.7,
"range": 300
},
{
"body": "pressure",
"strength": 0.6,
"range": 260
},
{
"body": "memory",
"strength": 0.4,
"range": 260
}
],
"render": [
"metaballs",
"field-lines",
"heatmap",
"particles"
],
"metrics": [
"calibration",
"distance",
"coherence",
"pressure"
],
"diagnostics": [
"potential",
"prediction",
"inspector"
],
"accessibility": {
"reducedMotion": "a target meter with a stability marker and a recommended range",
"meaningWithoutMotion": "the target is a labelled meter; current config shows its distance and whether it sits in the recommended range"
},
"notes": "A target state sits as a stable gravity well: as the user tunes, the current config moves toward or away from coherence, and over-tuned or contradictory settings add pressure that pushes it back out.",
"tier": "operational",
"status": "shipped",
"conditions": [
"threshold"
]
} See also
- Priority Well make important elements feel naturally weighted without shouting
- Focus Orbit keep related options moving around the active item
- Search Relevance Field let search results settle by relevance, confidence, and recency
- Reading Field make long content pages reveal attention, memory, and concept links
- Attention Weather show system urgency, density, and activity across a dashboard
- Command Intent Field let command palettes settle around likely intent