CADE shows how a team thinks under pressure. I developed the first executable version in one week; it has now run three times with about 19 participants per session.
AI made speed possible, but the exercise required human judgment to define the training problem, approve source material, set success criteria, and decide what changed after execution.
A single authoritative scenario layer reduced drift across orders, turn materials, controller prompts, and review products.
Controllers need fast, reliable access under pressure. Consolidating execution logic, role aids, decision prompts, and review structure made the framework more portable.
Controller-to-controller variance weakens outcome credibility. Observable bands reduce discretionary drift while preserving human oversight.
CADE must work when language friction is present. Plain wording and visual aids reduce avoidable misunderstanding without diluting the training logic.