@FinanceYF5: 2/ «Loop» lets models iterate through feedback. Claude Code /goal and Managed Agents Outcomes are two implementations: the former drives the loop via “goal not achieved → next round continues”; the latter relies on an independent grader sub-agent to score → correct…

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Summary

Introduces two feedback-loop-based iteration methods in AI models: Claude Code's /goal mode triggers the next cycle when the goal is not achieved, while Managed Agents Outcomes relies on an independent grader sub-agent to score and correct.

2/🔁 «Loop» lets models iterate through feedback Claude Code /goal and Managed Agents Outcomes are two implementations: The former drives the loop with “goal not achieved → next round continues”; the latter relies on an independent grader sub-agent to score → correct → re-evaluate. https://t.co/5BpF7br7ii
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Cached at: 06/13/26, 08:45 PM

2/🔁 Loop: Letting Models Iterate on Feedback

Claude Code /goal and Managed Agents Outcomes are two implementations: The former drives the loop by “goal not achieved → continue to next round”; the latter relies on an independent grader sub-agent to score → correct → re-evaluate. https://t.co/5BpF7br7ii

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