Soon agents can help makers improve agents using lessons from completed runs. It will identify repeated tool sequences that can be handled by workflows to standardize agent behavior, minimize errors, and most importantly control costs. Makers will be presented with recommendations and supporting evidence, expected impact, and the related instruction and tool changes. Makers accept recommendations, configure, test, and publish a refined copy of the agent. This helps improve agent output quality and controls costs while preserving work that requires model judgment and keeping makers in control.
Added to roadmap: 30 sep 2026 | Last modified: 30 sep 2026
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