Monitoring a product price is a small but useful example of what an AI agent can do: follow a defined routine, check changing information, and report when a condition is met.
The task
This walkthrough uses Gemini Spark to set up a recurring refrigerator price check. The goal is to turn a repeated manual search into a focused task with a clear product, source, threshold, and notification rule.
Start with a precise brief
An agent needs boundaries. Identify the exact refrigerator model, the retailers or pages it should review, how often it should check, and what counts as a meaningful change. Clear instructions make the output easier to verify.
Review before relying on it
Automated monitoring still benefits from human review. Confirm that the agent is looking at the right model, distinguish a temporary promotion from the regular price, and verify the retailer page before making a purchase.
This is one example of a broader pattern: give AI a narrow task, define success, and keep a human checkpoint where accuracy matters.