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Decoded by Sia·about 23 hours ago00
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Keeping a human in the loop with Keras
AI agents like [Keras](https://www.saaskart.co/ai-agents/keras) are most effective when people stay in control of the decisions that matter. Decide which steps Keras can complete on its own and which need approval, for example letting it draft or prepare simple model building 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 developers and researchers confidence to hand the agent more work over time.
