Strong operational

Flow Checkpoint

stabilize multi-step flows around milestones

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

"Flow Checkpoint" — stabilize multi-step flows around milestones. It has a fieldflow layer (solar prominences, aurora, plasma streams, guided matter), a link layer (ropes / cloth between neighbours), a cohesion layer (flocking — pull toward neighbours), a memory layer (a decaying trail / hysteresis), and a morph layer (assemble matter into a mark/shape (never words, §11)). Matter follows the field geometry because of fieldflow, not the field-owning force itself. The active render stack is streamlines, links, field-lines, particles.

Multi-step flows form a current that fieldflow carries forward, but checkpoints bind like strong anchors: completed milestones hold structure with cohesion while progress keeps streaming ahead (the strong bind stabilizes, transport carries).

Runtime tokens: fieldflow solar prominences, aurora, plasma streams, guided matterlink ropes / cloth between neighbourscohesion flocking — pull toward neighboursmemory a decaying trail / hysteresismorph assemble matter into a mark/shape (never words, §11)
Metrics: progress a semantic lane — drive it with data-field-<metric> (or a domain model); without that its --field-<metric> stays inertcheckpoint a semantic lane — drive it with data-field-<metric> (or a domain model); without that its --field-<metric> stays inertmemory computed every frame by the platform (proximity · engagement · relationships · age)coherence computed every frame by the platform (proximity · engagement · relationships · age) progress, checkpoint are host-supplied lanes — drive them with data-field-<metric> (or a domain model); without that, their --field-* stays inert.
Diagnostics: topology force-vectors prediction
Render: streamlines · links · field-lines · particles
Reduced motion: a stepper with a checkpoint rail and completed-step markers
Without motion: the flow is an ordered stepper; completed milestones are marked and anchor the remaining steps

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<field-root></field-root>
  <div data-body="fieldflow" data-strength="0.9" data-range="0" data-feedback></div>
  <div data-body="link" data-strength="0.7" data-range="320"></div>
  <div data-body="cohesion" data-strength="0.7" data-range="300"></div>
  <div data-body="memory" data-strength="0.5" data-range="260"></div>
  <div data-body="morph" data-strength="0.4" data-range="220"></div>

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

<field-root></field-root>
  <div data-body="fieldflow" data-strength="0.9" data-range="0" data-feedback></div>
  <div data-body="link" data-strength="0.7" data-range="320"></div>
  <div data-body="cohesion" data-strength="0.7" data-range="300"></div>
  <div data-body="memory" data-strength="0.5" data-range="260"></div>
  <div data-body="morph" data-strength="0.4" data-range="220"></div>

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

export default function FlowCheckpoint() {
  return (
    <FieldField>
      <div data-body="fieldflow" data-strength="0.9" data-range="0" data-feedback />
      <div data-body="link" data-strength="0.7" data-range="320" />
      <div data-body="cohesion" data-strength="0.7" data-range="300" />
      <div data-body="memory" data-strength="0.5" data-range="260" />
      <div data-body="morph" data-strength="0.4" data-range="220" />
    </FieldField>
  );
}

{
  "id": "flow-checkpoint",
  "name": "Flow Checkpoint",
  "intent": "stabilize multi-step flows around milestones",
  "naturalField": "strong",
  "primitives": [
    "fieldflow",
    "link",
    "cohesion",
    "memory",
    "morph"
  ],
  "bodies": [
    {
      "body": "fieldflow",
      "strength": 0.9,
      "range": 0,
      "feedback": true
    },
    {
      "body": "link",
      "strength": 0.7,
      "range": 320
    },
    {
      "body": "cohesion",
      "strength": 0.7,
      "range": 300
    },
    {
      "body": "memory",
      "strength": 0.5,
      "range": 260
    },
    {
      "body": "morph",
      "strength": 0.4,
      "range": 220
    }
  ],
  "relationships": [
    {
      "from": "step",
      "to": "checkpoint",
      "type": "anchors-to",
      "strength": 0.7
    }
  ],
  "render": [
    "streamlines",
    "links",
    "field-lines",
    "particles"
  ],
  "metrics": [
    "progress",
    "checkpoint",
    "memory",
    "coherence"
  ],
  "diagnostics": [
    "topology",
    "force-vectors",
    "prediction"
  ],
  "accessibility": {
    "reducedMotion": "a stepper with a checkpoint rail and completed-step markers",
    "meaningWithoutMotion": "the flow is an ordered stepper; completed milestones are marked and anchor the remaining steps"
  },
  "notes": "Multi-step flows form a current that fieldflow carries forward, but checkpoints bind like strong anchors: completed milestones hold structure with cohesion while progress keeps streaming ahead (the strong bind stabilizes, transport carries).",
  "tier": "operational",
  "status": "shipped"
}

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See also