Google's 'Create My Widget' Lets Users Vibe Code Custom Android Dashboards

Google on Tuesday unveiled a new Create My Widget feature for Android that allows users to generate custom widgets through natural language descriptions. The feature will first launch on the latest Samsung Galaxy and Google Pixel phones this summer.

According to TechCrunch's coverage, the tool lets users describe what they want using plain English. You could ask for a widget that "suggests three high-protein meal prep recipes every week" and receive a custom dashboard you can add and resize on your home screen. Or if you're a cyclist who only cares about wind speed and rain, you can create a weather widget that surfaces just those exact stats.

The feature signals Google's latest push to bring generative AI deeper into the Android experience, as tech companies race to make customization tools more accessible to everyday users.

Gemini can also pull information from the web and connect with Google apps like Gmail and Calendar to build a single, personalized dashboard. For instance, if you're planning a family reunion in Berlin, it can gather your flight and hotel details, surface restaurant reservations, and even add a countdown.

"This is like you asking your personal assistant a question, and having them just bring you the answer on repeat," said Ben Greenwood, Director, PM, Android Core Experiences, during a briefing with reporters. "So think of it as asking Gemini things about the world, things about its knowledge of what's going on and events, as well as things about your personal data. Those are sort of the two areas that unlock an enormous number of use cases that we're super excited about."

The company announced the new feature alongside the unveiling of Gemini Intelligence, which will bring additional features like advanced autofill, an AI-powered voice dictation feature for Gboard, and more.

From a technical standpoint, this represents a significant shift in how Android widgets work. Traditional widgets require developers to build specific layouts and data sources. With Create My Widget, users describe the outcome and Gemini handles the underlying architecture (which means no more hunting through app settings to find the right widget size).

The physical experience matters here. Instead of tapping through multiple apps to check flight times, hotel confirmations, and restaurant reservations before a trip, users will see all that information consolidated in one resizable home screen element. The friction of switching contexts disappears, replaced by a single glance at your phone's display.

WIRED corroborated the announcement, noting the feature arrives ahead of Google's annual developer conference this month, which will largely focus on AI.

The timing is strategic. Googlebooks, the company's new line of laptops built with Gemini at their core, will also ship with the ability to create custom widgets. The laptops are launching this fall and are designed from the ground up for Gemini Intelligence to offer personal and proactive help.

Whether users actually adopt this feature remains the real question. Custom widgets have existed for years on Android, but most people stick with the defaults provided by apps. The barrier isn't capability—it's motivation. Will users spend time describing their ideal dashboard, or will they settle for what's already there?

Google's bet is that natural language removes enough friction to change that behavior. The feature essentially turns widget creation into a conversation rather than a configuration task. That's a meaningful difference, but only if the generated widgets actually work well enough to keep.

For now, the rollout is limited to Samsung Galaxy and Google Pixel devices this summer. Other Android manufacturers will likely follow, but the timeline remains unclear. Whether this becomes a must-have feature or another AI gimmick that collects dust on users' home screens depends entirely on execution.

Artūras Malašauskas is an AI Systems Integrator with 20+ years of production-grade web engineering experience. He has designed, shipped, and scaled enterprise Python/PHP systems for logistics, SaaS, and public-sector clients. For the past year, he has focused exclusively on AI integrations: deploying open-source LLMs, building generative media pipelines (image, audio, video), and engineering multi-agent workflows for real production environments. His standard: reproducibility, security, cost-efficient inference—no vaporware. He documents and evaluates emerging AI tooling, separating verified capabilities from marketing noise. Technical editor at: muza-ai.eu, ai-verslas.lt, ai-naujinos.lt Connect on LinkedIn