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Give an agent a job. And a boundary.

When an AI product can take action, knowing where it should stop becomes part of making it useful.

Editorial illustration of a human-controlled gate along an agent’s path.

Define the outcome first

“Help the customer” leaves a lot undecided. Gathering the details of a property enquiry is more specific. The agent needs to learn the preferred location, budget, type of home, and next step. The business needs to know which answers are still missing.

A defined outcome gives the interaction a structure. It also gives the people building and using the product a way to judge whether the task was completed.

Separate knowing from doing

An agent may know about appointment times without having permission to book one. It may understand a refund policy without being allowed to issue a refund. Connecting information and authorizing an action are different decisions.

We believe products should make those decisions explicit. Businesses should choose the knowledge available to an agent, the tools it can use, and the actions that require a person’s confirmation.

A handoff is an outcome too

A conversation may reach an exception, an unanswered question, or a decision outside the agent’s authority. At that point, a useful handoff carries the context forward: what the person asked, what has been learned, and what still needs attention.

The next person should be able to continue from that record. Designing the handoff with the same care as the automated path is one way to make AI useful in the work people actually do.