Use least-to-most for policy comparison
Apply least-to-most prompting to a multi-policy comparison with source evidence.
Sofia needs a remote-work policy recommendation from messy notes across HR, Legal, managers, and employee feedback. Options -> constraints -> scores -> risks -> recommendation The common trap is asking for the final policy before the model has built the comparison table that justifies it. Options Define three real options: office-first, team-choice hybrid, and role-based remote eligibility. Options make the decision space explicit, which prevents the final answer from comparing an unstated favorite against straw alternatives. Constraints Extract constraints: labor-law coverage, manager readiness, onboarding quality, support load, and employee retention risk. Constraints keep the model from recommending a culturally appealing…
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