QuestionQ8

Agents and Workflows

You are designing an agent to manage a complex claim-processing workflow. Each claim proceeds through fact extraction, eligibility evaluation, and a decision step. The three subtasks have separate success criteria, and some claims need iteration between fact extraction and eligibility evaluation before a decision can be made.

Which agent pattern would you use?

Explanation

A graph-based pattern models each subtask as a stateful node with conditional transitions, allowing claims to return from eligibility evaluation to fact extraction when more or corrected facts are needed. It also supports evaluating each specialized subtask against its own success criteria. This flexibility is required for branching and iterative workflows, unlike a fixed sequential chain.

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