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AI-AGENTS-AUTONOMOUS-WORKFLOWS5 MIN READ

Worked example: maker/checker rubric

An HR ops agent drafts answers to employee expense-policy questions. One answer may influence whether an employee submits a $600 home-office claim. A maker/checker loop needs explicit pass/fail criteria, independent evidence review, and an iteration cap. The common trap is telling the checker to assess quality overall. That allows a polished answer with one unsupported policy claim to pass. Step 1 Criterion 1: every policy claim must cite the policy section or be marked unknown. This forces the checker to test claims individually, not score the answer by fluency. Step 2 Criterion 2: the answer must distinguish employees, contractors, and…

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