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
CONTEXT360 / MODEL-READY EPISODE SIGNAL ALIGNED
01ContextEnvironment + objective
02ObserveSignal + task state
03IntentGoal + success condition
04DecideEvidence + rationale
05ActPhysical + digital action
06StateTransition + correction
07OutcomeResult + verification

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, plus 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.

CONTEXT360 / MODEL-READY EPISODE SIGNAL ALIGNED
01ContextEnvironment + objective
02ObserveSignal + task state
03IntentGoal + success condition
04DecideEvidence + rationale
05ActPhysical + digital action
06StateTransition + correction
07OutcomeResult + verification
CAPTUREReal-world + in situ
STRUCTURETemporal + semantic
PROVENANCERights + lineage linked