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Gemini could soon let anyone build an AI agent on their phone, no enterprise plan needed
Users might have the option to choose from five templates initially, centered around learning, managing finances, marketing, and more. Google is testing a host of new upgrades for Gemini, including the option to customize your Daily Brief and manage skills for its always-online agent, Spark, right
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Google Gemini may soon let you create custom AI agents directly on Android: Here is what we know
The feature is still in testing, and Google has not announced an official rollout date. Google is reportedly working on another upgrade for Gemini that could make AI agents easier to access on mobile devices. According to a new report, a change has been spotted in the latest Google app for Android
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Google is testing a feature that could let all users create custom AI agents directly on Android devices. Spotted in version 17.45.14 of the Google app, the update includes five preset templates for common tasks like finance management, marketing, and family coordination—potentially ending the enterprise-only restriction.

Google Gemini is testing a significant update that could democratize AI agent creation by bringing it directly to Android devices. Currently, the ability to create custom AI agents is restricted to Google Workspace and Enterprise users through web interfaces only. However, evidence found in version 17.45.14 of the Google app for Android suggests this limitation may soon disappear
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.The Google app, which serves as the primary gateway to Gemini on mobile devices, now contains a 'New agent' button in the sidebar below recent conversations. This feature would allow users to build and manage AI agents from their phones or tablets without needing desktop access. Given the personal nature of the templates being tested, Google appears poised to extend this functionality beyond paying enterprise customers to all Gemini users, including those on free plans
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.Unlike the web version where Google Workspace users can specify custom tasks in detail, the Android implementation focuses on accessibility through preset templates. The Gemini AI app for Android currently features five templates designed for everyday needs
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.These include a Family Coordinator for managing household chores and tracking family events, a Tutor to assist with homework and study planning, and a Group Organiser for coordinating trips and activities. For professional tasks, there's a Marketing agent that generates social media posts and campaign ideas, plus a Finance agent to track spending and bill reminders. This approach to task automation makes the AI assistant Gemini more approachable for users without technical expertise
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.This development marks a shift in how users interact with AI on mobile devices. By removing the enterprise barrier and simplifying AI agent creation through templates, Google is making personalization accessible to mainstream users. The focus on personal tasks like finance management and family coordination suggests Google recognizes the demand for customized AI assistance beyond corporate environments
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.The timing aligns with Google's broader strategy to integrate Gemini more deeply into daily workflows. With upgrades including customizable Daily Briefs and the always-online Spark agent, Google is positioning Gemini as a comprehensive AI ecosystem rather than just a chatbot. The level of development polish observed in the testing phase indicates an imminent release, though Google has not announced official rollout plans
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As this feature remains under testing, several aspects could change before public release. The final template selection, customization options, and account tier requirements remain unconfirmed. Users should monitor Google's official announcements regarding availability across different Gemini subscription levels. The success of this rollout could influence how other AI platforms approach mobile-first agent creation and whether enterprise features continue migrating to consumer products. If Google extends this to free users, it would represent a notable departure from the typical enterprise-first approach to advanced AI capabilities.
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