Three CVs are collected separately, ranked together by one LLM call (three named inputs feeding a single ranking prompt), and reviewed by a human decision maker who sees both the ranking and all three original CVs side by side via the newly added multi-input support on HumanDecisionBlock. Carries starter design-time bias annotations and probes on the ranking step (SELECTION_BIAS, INPUT_TRANSFORMATION on one CV) and the review step (AUTOMATION_BIAS, ROUTING_OVERRIDE) as a base for later bias-injection experiments on ranking tasks specifically. Verified end to end against the running service: full run reaches SUCCESS with a real ranking produced by the LLM and accepted by the reviewer. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> |
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