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How to set boundaries when an AI is acting in the real world.
When you give an agent the ability to take actions, you're trusting it with real consequences. The teens (and adults) who use agents well think about permissions like a manager would: what can it do alone, what needs your sign-off, what's totally off-limits, and how do you undo mistakes?
Pick one agent task. List which actions you'd auto-approve, which need review, and which are forbidden.
15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-agentic-supervision-rules-teens-final2-teen
What does 'permission' mean when setting up an AI agent?
Why is 'reversibility' an important concept when supervising AI agents?
What is 'oversight' in the context of supervising AI agents?
Why should agents be given read-only access first instead of full capabilities?
Which type of action should ALWAYS require human approval before an agent proceeds?
What is a sandbox environment used for with AI agents?
Why is it important to always have an 'undo path' for agent actions?
Which of these is considered an irreversible action that needs human approval?
How should you think about setting permissions for an AI agent?
What does 'sign-off' mean in agent supervision?
Why should you test an agent in a sandbox before letting it work in the real system?
Which of the following is an example of a reversible action for an AI agent?
Why do irreversible actions specifically need explicit human OK rather than automatic approval?
What does the phrase 'drafts not sends' mean when setting up an agent?
What could happen if an AI agent is allowed to take actions without proper oversight?