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Gemini's Spark Keeps Working Even When You Close Your Laptop

모민철모민철 기자· 10/11/2026, 2:03:09 AM· Updated 10/11/2026, 2:03:09 AM

The AI keeps working even when you close your laptop. A user's account has been published of automating daily routines with 'Spark,' a personal AI agent inside Google Gemini. Spark is different from chatbots that wait for a question every time. You give it a goal, connect supporting apps like Gmail, Docs, and Sheets, and set a schedule for recurring tasks — then it carries out the work on its own. The writer noted that existing automation tools made setup more of a hassle than the tasks themselves, but Spark was different.

The biggest difference, the writer said, is that it runs in the cloud. Tasks continue even when the laptop or phone is closed or locked. Because of this, the writer described using regular Gemini as a tool to open when answers are needed, and Spark as a tool to delegate routines to, running in the background.

Setting up a schedule is also simple. There are two ways: create a schedule with a prompt in Gemini, or enter instructions and set the delivery date and time manually. According to the writer's experience, the barrier to entry is low — no need to design complex workflows, just give spoken instructions and set a time.

The first automation target was the morning check-in. The writer assigned Spark a weekday 10 a.m. morning briefing, with a prompt to summarize important emails that arrived the previous day, flag messages needing replies or action, and organize today's calendar events along with deadlines and urgent items. As a result, the writer said, they knew the shape of their day before getting down to work.

The writer rated Spark most useful in the research domain. Every weekday morning, they instructed it to find the biggest updates on local LLMs and major AI tools, summarize the key points, and suggest article ideas, with the condition of ignoring minor announcements unless they offered useful features. This meant receiving results tailored to their own interests rather than a generic collection of AI news.

Still, the article is one user's experience, not a product announcement. The writer concluded that the biggest change wasn't saving large chunks of time all at once, but that dozens of small, nagging tasks simply disappeared. They noted they still directly control important decisions, and that Spark's role remains in the initial stages of review — summarizing, organizing, collecting, and sorting.

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