
How to change an AI agent’s instructions without breaking existing work
An instruction that improves one department’s output can change another department’s results. Treat an agent’s instructions like any operating procedure that affects customers. Record what is changing, why the business needs it and which existing behaviors should still pass review.
Turn the request into an observable change
A logistics manager might ask, “Make the delivery summary shorter.” Ask which information the recipient can safely lose. Perhaps the new rule should read, “Show location, delivery window and access requirements first. Move historical notes to the linked record.” That gives both the builder and reviewer something concrete to check.
Choose examples that expose the tradeoff. Include a routine stop, a customer with a locked loading dock and a delivery with conflicting access instructions. Compare old and new summaries side by side without telling reviewers which version produced each. They can then judge whether a shorter summary still gives a driver the information needed for the job.
Release to a narrow group
Record the instruction version, reviewer, expected effect and rollback point. Try the change with one route or team that can report problems promptly. Track which details staff have to retrieve manually and whether anyone misses a time sensitive instruction.
Keep the original acceptance cases alongside the new ones. If a requested improvement makes overnight deliveries harder to handle, either revise the wording or scope the change to the group that needs it. When the reviewer accepts the change, record the effective date and tell the affected staff what they will see. The next person maintaining the workflow should be able to explain why the instruction exists and how to check it after another update.
Put this into practice
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