Magic Pointer for Googlebook laptops
Harness Gemini via Magic Pointer on Googlebook for intuitive interaction.
Magic Pointer feature that allows users to utilize Gemini's capabilities directly through pointer interactions.
Googlebook laptops
To provide a more intuitive and seamless AI experience on Googlebook devices, integrating Gemini's power at the user's fingertips.
Googlebook laptops will soon feature 'Magic Pointer,' an integration that allows users to access and control Gemini's AI capabilities through intuitive pointer actions. This aims to enhance the user experience by making AI interaction more fluid and accessible.
- Reimagining the mouse pointer for the AI era ↗Google DeepMind Blog · Google DeepMind Blog · Mar 29, 2026 · paraphrased
First seen on Subvolts Mar 29, 2026. Updated Sep 11, 2026. Spotted a problem? Tell us.
- Reimagining the mouse pointer for the AI eraGoogle · Google DeepMind Blog · Mar 29, 2026
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- Setting tipGemini in Chrome AI pointer integrationUse your pointer to ask Gemini about parts of a webpage in Chrome. · 5 min
- ToolLyria 3 Clip Preview for music generationGoogle's Lyria 3 Clip Preview model generates short music clips, loops, and demos from text or images. · 5 min
- PromptGenerate a 30-second music track with GeminiDescribe a musical idea or upload a photo to generate a custom 30-second track with cover art. · 2 min
- ToolGemini Apps with Lyria AI music generatorCreate music tracks and lyrics with AI, then download or share. · 5 min
- ToolGemini app with Lyria 3 for AI music generationGoogle's Gemini app now uses Lyria 3 to create 30-second music tracks from text or images. · 5 min
- Setting tipUse forward slash to activate Gemini skillsType '/' followed by the skill name in the Gemini prompt bar to quickly access and run your saved instructions. · 1 min
Questions people ask
- Which AI tools does this work with?
- The sources used it with Gemini.
- Where did this come from?
- Google DeepMind Blog (Google DeepMind Blog). Subvolts collected, normalized and credited it; the link above opens the original.

