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Update _posts/2026-05-18-introducing-voting-agent.adoc
Co-authored-by: Clement Escoffier <clement.escoffier@gmail.com>
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_posts/2026-05-18-introducing-voting-agent.adoc

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In a https://quarkus.io/blog/agentic-ai-patterns/[previous article] we discussed why no single agentic pattern can cover all use cases, and introduced a generic `Planner` abstraction that allows users to define their own orchestration strategies and combine them with the ones provided by LangChain4j out-of-the-box. For instance, there we demonstrated how a goal-oriented pattern could be extended with a reflection loop to iteratively refine a piece of generated content.
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Among other things, that example put in evidence that having an agent evaluating its own output and loop until it reaches a quality threshold is a powerful technique. But this fundamental pattern also comes with a limitation: relying on a single evaluator can make the system fragile or less reliable. To overcome this issue, what if, instead of one judge, we could assemble a panel?
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Among other things, that example highlighted that having an agent evaluate its own output and loop until it reaches a quality threshold is a powerful technique. But this fundamental pattern also comes with a limitation: relying on a single evaluator can make the system fragile or less reliable. To overcome this issue, what if, instead of one judge, we could assemble a panel?
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== The voting pattern
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