Keep people involved when an AI agent needs approval, judgment, or a safety check before taking an important action.
A human-in-the-loop workflow gives a person the ability to review, approve, reject, or modify an agent's actions at important points. This is especially useful when an agent can perform actions that have real consequences, such as sending messages, changing data, making purchases, or executing sensitive operations.
Instead of making the entire workflow manual, you can let the agent handle routine steps and pause only when human judgment is needed. The challenge is deciding where to place these checkpoints without making the system unnecessarily slow or frustrating.
What you'll walk away knowing
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