Developer finds AI liking posts riskier than posting, builds strict two-stage approval

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A developer who had already automated their product's social media posting decided to extend the AI agent's capabilities to liking, replying, and following other users' content. During the design phase, they realized that actions directed at other people carry a fundamentally different risk profile than publishing one's own content, since even a like instantly notifies the recipient and creates a public record. To manage this, they built a two-stage approval system where the second stage authorizes only a single, precisely identified action defined by target, action type, and message body. They also added mandatory identity verification for both their own account and the target account, an idempotency guarantee to prevent duplicate actions, and a read-only constraint on locating interactive buttons to stop exploratory navigation from accidentally triggering irreversible actions. The developer concluded that the most useful design principle was not whether an action can be undone, but whether it reaches out and affects another person.

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