4. Phase‑3: Resonance‑native core skeleton#
Here we show how a unit could start building the new core alongside legacy systems.
4.1 Resonance‑Time Kernel interface#
// phase3/rtk.ts
export interface RtkObjectState {
id: string;
domain: "AIR" | "SPACE" | "NEAR_SPACE";
position: [number, number, number]; // unified frame
velocity: [number, number, number];
meta: Record<string, unknown>;
}
export interface RtkFieldSample {
position: [number, number, number];
stability: number;
drift_potential: number;
coherence_gradient: [number, number, number];
}
export class ResonanceTimeKernel {
ingest(states: RtkObjectState[]): void {
// Build internal resonance field
}
sampleField(position: [number, number, number]): RtkFieldSample {
return {
position,
stability: 0.95,
drift_potential: 0.1,
coherence_gradient: [0, 0, 0]
};
}
propagate(id: string, horizonSec: number): RtkObjectState[] {
return [];
}
}4.2 Global State Fabric façade#
// phase3/globalStateFabric.ts
import { RtkObjectState } from "./rtk";
export class GlobalStateFabric {
private objects = new Map<string, RtkObjectState>();
upsert(state: RtkObjectState) {
this.objects.set(state.id, state);
}
getAll(): RtkObjectState[] {
return [...this.objects.values()];
}
// In real life: consensus, replication, time sync, etc.
}4.3 Phase‑3 automation built on RTK#
// phase3/resonanceAutomation.ts
import { ResonanceTimeKernel, RtkObjectState } from "./rtk";
import { GlobalStateFabric } from "./globalStateFabric";
export class ResonanceAutomation {
constructor(
private rtk: ResonanceTimeKernel,
private gsf: GlobalStateFabric
) {}
updateFromSensors(states: RtkObjectState[]) {
states.forEach(s => this.gsf.upsert(s));
this.rtk.ingest(this.gsf.getAll());
}
computeGlobalCoherence(): number {
const all = this.gsf.getAll();
if (!all.length) return 1;
const samples = all.map(o => this.rtk.sampleField(o.position));
return samples.reduce((s, f) => s + f.stability, 0) / samples.length;
}
proposeLaunchWindowCorridor(): unknown {
// Use RTK field samples to find high-coherence windows/volumes
return {};
}
}Outcome: they can run this in parallel with legacy SDA/ATC systems, compare outputs, and gradually shift trust and authority to the resonance‑native core.
5. Migration pattern for a Space Force unit#
Phase‑1 (3–9 months):
- Deploy
phase1/middleware + overlays in sim → shadow → limited ops. - Train operators on new visuals and language (stability, resonance, coherence).
Phase‑2 (9–24 months):
- Deploy
phase2/automation adapter. - Feed RTT predictions into existing conjunction + launch tools.
- Run A/B comparisons and refine thresholds.
Phase‑3 (multi‑year, incremental):
- Stand up
phase3/RTK + GSF in parallel. - Gradually route more decisions through resonance‑native automation.
- Eventually retire legacy prediction/automation, keeping RTT/Inside as the canonical core.