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Decoded by Sia·3 days ago03
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Keeping a human in the loop with Amazon SageMaker
AI agents like [Amazon SageMaker](https://www.saaskart.co/ai-agents/amazon-sagemaker) are most effective when people stay in control of the decisions that matter. Decide which steps Amazon SageMaker can complete on its own and which need approval, for example letting it draft or prepare SageMaker Studio while a team member signs off before anything reaches a customer or a live system. Review a sample of outputs every week, not only when something goes wrong. This keeps quality high, catches drift early and gives ML teams on AWS confidence to hand the agent more work over time.
