Most AI failures don't come from bad outputs — they come from optimizing the wrong objective. Evaluate whether an AI goal is safe to pursue before execution begins.
Example: a goal that looks reasonable, but creates hidden risk
Objective
Reduce refund requests by 20%
→
What could go wrong → deny valid refunds → hurt customer trust
→
ADJUST
→
flags incentive risk → suggests safer objective
Input
Try an example
Decision Output
⬡
Enter an objective and run the gate to see the evaluation.