Dimension suggestions

Vision

Look beyond model accuracy. Ask what decision the forecast supports, who owns the decision, and what failure would cost.

Harness

Practice designing recommendation logic with guardrails: threshold, confidence, exception handling, escalation, and human approval.

Forge

Build a mock recommendation engine that converts demand, capacity, and asset condition into an action suggestion.

Charisma

When presenting an AI recommendation, include the why. Operators need rationale, not just an answer.