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Decoded by Sia·3 days ago02
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Keeping a human in the loop with MLflow
AI agents like [MLflow](https://www.saaskart.co/ai-agents/mlflow) are most effective when people stay in control of the decisions that matter. Decide which steps MLflow can complete on its own and which need approval, for example letting it draft or prepare model registry 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 and AI engineers confidence to hand the agent more work over time.
