EXPERT INTELLIGENCE DATA

Capture how experts see, decide, and act.

Models need more than pixels. We capture expert intent, decisions, alternatives, actions, corrections, and outcomes alongside the underlying environment.

Design an expert data program
CONTEXT TRAJECTORY LIVE SIGNAL
01ObserveEnvironment + signal
02InterpretMeaning + alternatives
03DecideIntent + rationale
04ActPhysical + digital action
05OutcomeState change + result

THE EXPERT SIGNAL

The knowledge behind the action.

High-skill work is shaped by invisible interpretation: which signals matter, which can be ignored, and what action is appropriate now.

What they observe

The task state, environment, objects, cues, and constraints available to the expert.

What matters

The signals that carry decision value—and the noise the expert deliberately ignores.

How they interpret

Expert explanation of what the current state means and what may happen next.

Alternatives considered

Other viable actions, the tradeoffs between them, and why they were not selected.

What they do

The physical, digital, or verbal action aligned to the expert’s intent.

Whether it worked

The resulting state, success signal, correction, and final outcome.

OBSERVE → VERIFY

A trajectory, not a clip.

Each layer can be temporally aligned to form a coherent training primitive for multimodal reasoning, expert evaluation, agents, and physical intelligence.

CONTEXT TRAJECTORY LIVE SIGNAL
01ObserveEnvironment + signal
02InterpretMeaning + alternatives
03DecideIntent + rationale
04ActPhysical + digital action
05OutcomeState change + result
MODALITIES04 synchronized
ANNOTATIONTemporal + semantic
PROVENANCESource lineage intact