RubricEM uses step-by-step criteria to train research agents
Published on July 5, 2026, the work describes agents that create evaluation criteria before researching and reuse lessons from assessed attempts.
Source: RubricEM decompõe políticas de agentes de pesquisa com rubrics (x.com). Text prepared with AI from this source.
What happened and what to do
On July 5, 2026, the work on RubricEM described training research agents to create rubrics before starting. The agents use these criteria to plan, search, review, and respond; a judge scores stages of the trajectory, and assessed attempts produce lessons for future tasks. The approach uses step-level rewards and reusable lessons rather than relying only on a final score.
A company could apply this principle to internal agents by defining criteria for each stage, recording decisions and outcomes, assessing trajectories, and turning recurring failures into review rules. Implementation could include instrumentation, storage for evaluations, and a dashboard to track quality and consistency, without assuming every process needs AI.
How the consultancy can help
Wendelmaques can diagnose the process and its risks, define evaluation criteria, and scope an implementation that includes instrumentation, evaluation storage, and operation of the workflow.
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