I Put Google's 24/7 Gemini Spark to the Test: It's Genuinely Useful

Gemini Spark is Google’s innovative new 24/7 agentic assistant, designed to simplify and streamline your digital life. Its core purpose is to help users manage online tasks, efficiently summarize lengthy content such as email inboxes, and organize data that would typically demand extensive manual effort and screen time, like personal expense spreadsheets.

The service made its debut at Google’s annual developer conference in May. During the presentation, CEO Sundar Pichai humorously noted that Spark, which operates on virtual machines in the cloud, offers the convenience of allowing users to “close your laptop.” This remark subtly contrasted Spark with other agentic AI systems, like the widely used OpenClaw, which necessitate continuous machine operation to execute their tasks.

Pichai’s implication is that Spark represents accessible agentic AI for the everyday user—those who prioritize getting things done efficiently without delving into the technical complexities of maintaining an always-on AI machine.

Currently, Spark’s practical application largely leans towards work-adjacent tasks, a natural consequence of its deep integration with Google’s suite of productivity applications, including Gmail, Calendar, Docs, Sheets, and Slides. Its utility for purely personal endeavors, such as creating a presentation for private use (unless you're a Gen Z creator explaining a meme to offline friends), appears less frequent.

Google itself seems to encounter challenges in presenting compelling real-world scenarios that firmly establish Spark as an indispensable “must-have” tool for personal use, rather than merely a convenient “nice-to-have.”

For instance, one of its suggested “personal productivity” uses involves Spark scanning daily emails and calendars to generate a recap of the top three essential tasks. This suggestion inherently presumes the user meticulously logs all their to-dos within a calendar or email application, rather than employing a physical notepad, a virtual note-taking app, or simply maintaining a mental list of errands like "Grab prescriptions and shampoo at Walgreens. Buy more dog food. Hang out with friends on Saturday."

Similarly, Google proposes using Spark as a weekend planner, capable of drafting a Google Doc with “three free activities based on my open calendar blocks for the upcoming weekend.” This, again, assumes a level of personal scheduling meticulousness that may not resonate with all users.

Nonetheless, with early access to Gemini Spark, I decided to conduct my own series of tests using more relatable, real-world scenarios. I was pleasantly surprised by its performance, finding it to be a fairly useful implementation of consumer AI, though I questioned the necessity of it having its own distinct brand.

For my initial task, I sought Spark’s assistance with shopping research. My goal was to prepare for a routine local drugstore trip for household items, so I asked Spark for product recommendations informed by weekly deals and available coupons.

Spark performed commendably in this instance. It accurately identified products on sale that met my criteria and suggested coupons to clip within the Walgreens app for additional savings. It even went a step further, advising on how to stack coupons for a single item by combining online promo codes, particularly if I intended to place an online pickup order and purchase more personal care items.

However, as is often the case with AI, a minor detail proved problematic: one of the suggested promo codes was invalid upon attempted use, despite Spark indicating it met all requirements. Despite this small misstep, Spark successfully directed me to other valuable savings, such as buy-one-get-one-free offers and rewards deals, which effectively compensated for the initial error.

In a subsequent test, I tasked Gemini with creating a packing list for an out-of-town day trip. I instructed it to check the weather, gather event specifics, and propose items to bring, such as sunscreen or water, after assimilating details about the activity. Crucially, I requested the final list be imported into Google Keep.

Surprisingly, Spark proved unable to integrate with Google Keep.

This represents a significant oversight, especially considering Google’s own note-taking application is a fundamental tool for personal productivity. Instead, Spark offered to create a Google Doc or draft an email, presenting options that felt less intuitive and practical for a dynamic packing list.

Despite the integration issue, Spark’s actual list generation was remarkably accurate. It suggested practical items like lawn chairs or blankets, water, sunscreen, sunglasses, a light layer for evening, a reusable shopping bag, and an umbrella for potential light showers. It also provided a crucial reminder that dogs were not permitted at the outdoor event.

With my child having outgrown traditional summer camps, I sought to explore local summer activities suitable for teenagers that could complement her existing engineering camp in June. I requested Spark conduct a comprehensive search for all available suggestions, with a travel limit of approximately 30 minutes from home.

Spark successfully generated a respectable list of activity ideas tailored to my child’s interests and accurately plotted their distances from home. Unfortunately, I neglected to specify that Spark should include program costs or dates, and it did not proactively provide this vital information, leaving me with additional manual research to conduct.

Like many, I am inundated with newsletters. So, I assigned Spark the task of preparing a weekly summary, delivered every Friday, highlighting the top five essential posts or articles I should read, complete with corresponding links.

The AI promptly accessed my inbox and, within moments, presented a summary of several intriguing articles, each including context and a link. One minor issue arose: the provided link was a Google.com redirect that did not automatically navigate to the intended site, requiring an additional click on the redirect page. While the suggestions were generally good, Spark only returned four articles despite my request for five, having seemingly interpreted the instruction as "4-5."

For another request, I asked Spark to compile a list of local weekend activities every Friday, aiding in my weekend planning. Living in a smaller city, major events aren't always frequent, making it crucial to stay informed about anticipated street festivals or popular shows. However, gathering this information traditionally requires consulting multiple local newsletters, websites, Facebook Groups, and online newspapers.

Spark addressed this by performing a web search, combined—at my explicit request—with a scan of my Gmail for relevant local newsletters, digests, or lists containing keywords indicative of local activity suggestions. It then compiled a list of upcoming weekend events and offered the convenience of adding any to my calendar simply by replying.

Without Spark, I would have remained unaware of a nearby Annual Beaver Queen Pageant, an event featuring individuals in beaver costumes raising funds for wetland conservation. This discovery highlighted Spark's ability to uncover unique local happenings, simplifying the process of adding them to my calendar compared to the manual effort of sifting through numerous sources for ideas.

For my final request, I tasked Gemini Spark with tracking price drops for an expensive eye cream. As a budget-conscious consumer, I would only consider purchasing it during a significant sale. I wanted Spark to monitor price changes and alert me when the cream became more affordable. However, Spark interpreted this request as merely rechecking the price every two weeks to see if it fell below my target. This frequency might not be sufficient to catch fleeting deals. While I remain hopeful for a pricing error, my target price, even after being raised by $10, may be too ambitious.

I can already envision other ways Spark could be integrated into my daily routine, such as for additional email monitoring and cleanup tasks. For instance, the next time I replace my home’s air filter, I plan to ask Spark to set a three-month reminder for the next change. Similarly, I anticipate having various tasks for it when planning future vacations.

While Spark performed commendably across my tasks with only minor issues, my primary criticism centers on the lack of necessity for it to be a standalone product with distinct branding. This approach, I believe, contributes to consumer confusion in today's AI landscape, where numerous models, each with its own often unusual name and number, are constantly emerging.

Instead of presenting Spark as a separate product, why not integrate its capabilities directly into Gemini as an out-of-the-box feature? The need for a "switch to Spark" toggle, rather than a more generic "switch to Tasks" (or even no separate interface at all), creates an unnecessary mental burden. Users simply want to input a question or request and have it handled, without needing to categorize it as a "question" or a "task."

Furthermore, the absence of Google Keep integration is a significant drawback for personal productivity; Google Docs is often overkill for simple lists like packing lists. For iPhone users, direct access to Gemini Spark via a hardware button or gesture is currently unavailable, requiring users to launch the Gemini app and navigate within it. This is compounded by Spark being a separate toggle within Gemini, preventing direct programming of the iPhone's Activity Button to Spark’s interface. A unified Gemini experience would be far more beneficial.

Although Spark is slated for enhanced MCP integrations in the future, its current inability to perform tasks outside Google’s service ecosystem—such as regularly booking a favorite restaurant through Resy or searching for flight deals on preferred booking engines—makes it feel somewhat limited, given that much of online activity occurs beyond Google’s immediate sphere.

Additionally, the option to interact with Spark via text messaging would be a welcome enhancement.