Skip to content
Technology How it works Breeder — Hyperion Burner — Aegis Burner — MetroVolt AI-Native Architecture Magnets Fuel cycle Safety Roadmap
Solutions AI & Data Centers Defense & Government Grid & Baseload Neutron Detection Quantum
Learn Technical Library
Proof Publications Whitepapers Technical Library Open Science & Reproducibility The Honest Gates
Company About / Mission Leadership Environment Health & Safety Investors Careers Press Contact
3D Model
AI Architecture › L4 · Orchestration
L4 · Orchestration

Replay & What-If Simulation

Recorded machine inputs are replayed against new procedure, twin, or policy versions to test changes safely before they touch hardware.

THE STACK · click to jumpL7Ecosystem & StrategyL6Experience & VisualizationL5Applications & CopilotsL4OrchestrationL3Twin Modeling & AIL2Data FabricL1Control PlaneL0Foundation▲tlmctl▼L4 · ORCHESTRATIONEvents, workflows, rules, and human routing.1Event Streamingthe backbone2Workflow Enginecampaign procedures3Rules & Safety Boundshard limits4Human-in-the-Loopapproval routing5Schedulerexperiment campaigns6Audit Busfull decision lineageMACHINE TIECoordinates L3 outputs with L5 copilots and human operators.KRONOS FUSION ENERGYAI-NATIVE S.M.A.R.T. GENERATORORCHESTRATIONSHEET 06REV. 2026-08L4 · AI-NATIVE STACK
L4 · Orchestration — its place in the stack (left, click any layer) and its internal components (right). Telemetry rises; control descends.

Test on the past, safely

The recorded event streams of past breeder shots and burner runs are a corpus of real (or simulated) scenarios. What-if replay feeds these historical inputs into a modified orchestration, a new procedure version, an updated twin, a tightened envelope, and observes what it would have done. Emitted commands are captured, never sent, so the machine is untouched. This is how orchestration changes are validated before deployment.

Two replay modes

python
# 1. FIDELITY replay: same versions -> must reproduce recorded commands (regression)
assert replay(shot, v_current).commands == recorded_commands(shot)

# 2. WHAT-IF replay: new version -> compare behavior, commands NOT sent
new = replay(shot, v_candidate)
diff = compare(new.commands, recorded_commands(shot))
report(diff)   # would the candidate have mitigated sooner? stayed in envelope?

Questions it answers

Closed loop with the twin

What-if replay can drive the digital twin forward under the candidate's commands to estimate outcomes the historical record does not contain, a full closed-loop simulation seeded by real inputs. This is central to developing orchestration for machines that are not built: the breeder and burner are design-and-simulation studies, so simulated and replayed scenarios are the only proving ground before FOAK.

Regression gate on deploy

Fidelity replay is a mandatory gate: any orchestration change must reproduce approved past decisions unless the diff is intended and reviewed. This turns the lineage record into an executable test suite for the control plane.

Content reviewed August 2026 · design-and-simulation stage