A ready-to-integrate evaluation set that tests how well AI agents handle realistic worker interactions.

• Scenarios: profile building, work check-ins, safety compliance, consent capture.

• Metrics: task success 88%, profile completeness 90%, bias score ≤ 0.2 .

• Schema aligned for ML pipelines (state features, actions, outcomes, reward scores).

• Enables RLHF reward shaping and bias/fairness auditing.