Define the job before the system.
Instead of starting with an agent that can do everything, choose a task with a clear finish line. Gather information from an approved source, prepare a draft, or help a person work through a repeatable process.
Write down what a good result looks like. Include a few examples that are difficult or incomplete, so the system has to do more than succeed on an easy demonstration.
Give it the tools it needs.
Keep access tied to the job. Separate gathering information from actions that change something. Decide which actions require a person to review the proposed result before it goes ahead.
Make uncertainty visible.
When information is missing, the experience should make that clear. A useful system can ask for help, stop at a boundary, and show enough context for someone to make the next decision.
Learn from real use.
Review outputs, unexpected paths, and the effort required to correct mistakes. Improve the workflow in small steps. The goal is a dependable result that helps someone do their work.
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