Gravity operational

Intent Magnet

pull likely actions toward the user's current context

Running the actual pattern live via applyPattern() — switch the substrate, stack overlays, watch the signals, or reverse the dynamics. Not a mock.

"Intent Magnet" — pull likely actions toward the user's current context. It has a gravity layer (universal attraction toward mass), a memory layer (a decaying trail / hysteresis), a link layer (ropes / cloth between neighbours), and a cohesion layer (flocking — pull toward neighbours). The active render stack is links, field-lines, dots, particles.

Current focus, history, and task state become a gentle gravity center that draws likely next actions closer; memory weights what worked before while cohesion keeps related actions together, assisting without taking control.

Runtime tokens: gravity universal attraction toward massmemory a decaying trail / hysteresislink ropes / cloth between neighbourscohesion flocking — pull toward neighbours
Metrics: intent a semantic lane — drive it with data-field-<metric> (or a domain model); without that its --field-<metric> stays inertconfidence written only when the host supplies it — the engine never invents confidence/riskmemory computed every frame by the platform (proximity · engagement · relationships · age)next-action a semantic lane — drive it with data-field-<metric> (or a domain model); without that its --field-<metric> stays inert intent, next-action are host-supplied lanes — drive them with data-field-<metric> (or a domain model); without that, their --field-* stays inert.
Diagnostics: potential causality inspector
Conditions: focused
Render: links · field-lines · dots · particles
Reduced motion: a suggested-actions list with a next-step badge and contextual shortcuts
Without motion: likely actions are ranked in a list by confidence, each labelled with why it was suggested

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<field-root></field-root>
  <div data-body="gravity" data-strength="0.9" data-range="380" data-feedback></div>
  <div data-body="memory" data-strength="0.6" data-range="280"></div>
  <div data-body="link" data-strength="0.6" data-range="300"></div>
  <div data-body="cohesion" data-strength="0.5" data-range="260"></div>

<script type="module">
  import '@fundamental-engine/elements';
</script>

<field-root></field-root>
  <div data-body="gravity" data-strength="0.9" data-range="380" data-feedback></div>
  <div data-body="memory" data-strength="0.6" data-range="280"></div>
  <div data-body="link" data-strength="0.6" data-range="300"></div>
  <div data-body="cohesion" data-strength="0.5" data-range="260"></div>

import { FieldField } from '@fundamental-engine/react';

export default function IntentMagnet() {
  return (
    <FieldField>
      <div data-body="gravity" data-strength="0.9" data-range="380" data-feedback />
      <div data-body="memory" data-strength="0.6" data-range="280" />
      <div data-body="link" data-strength="0.6" data-range="300" />
      <div data-body="cohesion" data-strength="0.5" data-range="260" />
    </FieldField>
  );
}

{
  "id": "intent-magnet",
  "name": "Intent Magnet",
  "intent": "pull likely actions toward the user's current context",
  "naturalField": "gravity",
  "primitives": [
    "gravity",
    "memory",
    "link",
    "cohesion"
  ],
  "bodies": [
    {
      "body": "gravity",
      "strength": 0.9,
      "range": 380,
      "feedback": true
    },
    {
      "body": "memory",
      "strength": 0.6,
      "range": 280
    },
    {
      "body": "link",
      "strength": 0.6,
      "range": 300
    },
    {
      "body": "cohesion",
      "strength": 0.5,
      "range": 260
    }
  ],
  "relationships": [
    {
      "from": "focus",
      "to": "action",
      "type": "suggests",
      "strength": 0.6
    }
  ],
  "render": [
    "links",
    "field-lines",
    "dots",
    "particles"
  ],
  "metrics": [
    "intent",
    "confidence",
    "memory",
    "next-action"
  ],
  "diagnostics": [
    "potential",
    "causality",
    "inspector"
  ],
  "accessibility": {
    "reducedMotion": "a suggested-actions list with a next-step badge and contextual shortcuts",
    "meaningWithoutMotion": "likely actions are ranked in a list by confidence, each labelled with why it was suggested"
  },
  "notes": "Current focus, history, and task state become a gentle gravity center that draws likely next actions closer; memory weights what worked before while cohesion keeps related actions together, assisting without taking control.",
  "tier": "operational",
  "status": "shipped",
  "conditions": [
    "focused"
  ]
}

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See also