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AI Architecture › L6 · Experience
L6 · Experience

Copilot Conversation Surface

The window through which L5 copilots explain, recommend, and answer — always advisory, always with citations and confidence, never issuing commands on their own.

THE STACK · click to jumpL7Ecosystem & StrategyL6Experience & VisualizationL5Applications & CopilotsL4OrchestrationL3Twin Modeling & AIL2Data FabricL1Control PlaneL0Foundation▲tlmctl▼L6 · EXPERIENCE & VISUALIZATIONHow people see, steer, and review the plant.1Control-Room 3D Twinlive overlays2Plant-Floor SCADAoperations HMI3Mobile Engineeringfield access4Alerting UXtriage & escalation5DashboardsKPIs & health6Replayincident reviewMACHINE TIESurfaces the L3 twin state and L5 copilots to human operators.KRONOS FUSION ENERGYAI-NATIVE S.M.A.R.T. GENERATOREXPERIENCE & VISUALIZATIONSHEET 08REV. 2026-08L6 · AI-NATIVE STACK
L6 · Experience & Visualization — its place in the stack (left, click any layer) and its internal components (right). Telemetry rises; control descends.

Where the copilot meets the operator

The L5 copilots reason over the machine, the documentation, and the shot database; L6 is where their output reaches a human. The conversation surface lets an operator ask 'why is the disruption-risk index rising?' or 'what changed since the last good shot?' and get a grounded answer. Crucially, the copilot advises and explains — it never actuates. Any action it recommends flows through the same trust-and-override path as any other AI recommendation.

Grounded, cited, and honest about uncertainty

Every copilot answer is grounded in retrievable sources — specific diagnostics, twin estimates, documentation pages, prior shots — and shows its citations so the operator can verify rather than trust blindly. Answers carry the copilot's confidence, and the surface distinguishes what is measured from what is inferred. When the copilot is uncertain or the question falls outside what it can ground, it says so plainly instead of fabricating, because a confident wrong answer in a control room is worse than an honest 'I don't know.'

Integrated, not a separate app

The conversation surface is woven into the operator's context. Asking about the current alert automatically scopes the copilot to that alert's data; a recommendation links to the exact provenance and envelope margins involved. During an upset the copilot's role is to compress the situation into a clear rationale for the decision surface, not to add another thing to read — its output is filtered through the same attention budget as any notification.

The copilot surface depends on the honesty machinery around it — see provenance display and trust and override — and its recommendations are captured, like all actions, for audit.

Content reviewed August 2026 · design-and-simulation stage