I put Google’s 24/7 AI assistant Gemini Spark to work, and it’s actually pretty useful

· Source: TechCrunch · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Novice, medium

Summary

Google's Gemini Spark, a new 24/7 agentic assistant introduced at its annual developer conference in May 2026, aims to automate digital tasks by running on cloud-based virtual machines. Designed to integrate with Google's productivity suite like Gmail, Calendar, Docs, Sheets, and Slides, Spark was tested across several real-world scenarios. It successfully identified shopping deals, including stackable coupons for Walgreens, and generated a comprehensive packing list based on weather and event details, though it failed to integrate with Google Keep. Spark also provided decent summer activity suggestions for teens within a 30-minute drive, summarized weekly newsletters, and compiled local weekend events, including a "Beaver Queen Pageant." While it could track price drops for specific items, its bi-weekly check frequency was questioned. The author found Spark "fairly useful" but criticized its confusing standalone branding, lack of Google Keep integration, and limited integration with non-Google services.

Key takeaway

For AI Product Managers developing agentic assistants, prioritize deep integration with essential productivity tools like note-taking apps, which Gemini Spark currently lacks. Avoid creating confusing standalone brands for task-oriented features; instead, integrate these capabilities directly into your core AI assistant for a unified user experience. Your strategy should focus on seamless functionality across diverse platforms, including non-native services, to maximize utility and minimize user mental load.

Key insights

Google's Gemini Spark demonstrates agentic AI's utility for automating personal and work-adjacent tasks, despite current integration and branding limitations.

Principles

Method

The author tested Gemini Spark by assigning tasks such as finding shopping deals, generating packing lists, suggesting summer activities, summarizing newsletters, compiling weekend events, and tracking product price drops.

In practice

Topics

Best for: Product Manager, AI Product Manager, Entrepreneur, General Interest

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Editorial summary, takeaway, and curation by AIssential. Original article published by TechCrunch.