Google Lets Users Share Custom Gemini Gems

Google opens Gemini Gems to sharing

Google announced that users can now share their custom Gemini AI assistants—known as Gems—just as easily as sharing a file from Drive. Gems let people create task-specific chatbots (learning coaches, coding partners, writing editors) using instructions and presets previously tied to paid tiers.

To share a Gem, open the Gem manager in the web app and click the Share icon next to a Gem. Google provides familiar permission controls so you can decide who can view, use, or edit each assistant. The feature started in Gemini Advanced and rolled out to Gemini Business and Enterprise subscribers in 150+ countries before becoming broadly available.

Why sharing matters

• Team standardization: Share a single Gem so coworkers use the same guidance, prompts, and outputs instead of building slightly different versions.
• Collaborative planning: Use a shared Gem for family travel plans, meal planning, or group research to keep everyone aligned.
• Content and code workflows: Editors, coding partners, and brainstorming Gems can be reused across projects to speed up output and maintain style or standards.
• Knowledge transfer and onboarding: New hires can access curated Gems that encode best practices and FAQs, shortening ramp time.
• Reduced duplication: Instead of multiple teams recreating similar assistants, a single shared Gem prevents fragmentation and version drift.

Practical considerations

Sharing makes Gems more accessible, but it also raises governance and lifecycle questions. Who owns a shared Gem? How do you control edits? Google’s permission model handles basic access, but organizations will need policies for versioning, approvals, and auditing to avoid conflicting or outdated assistants.

For enterprises already on Gemini Business or Enterprise, the change is straightforward: standardize department Gems, embed them into workflows, and ensure compliance with data policies. For smaller teams and families, sharing lowers the bar to adoption and helps groups get consistent, repeatable outputs.

What organizations should do next

Start by cataloging high-value Gem use cases—customer replies, code review guidance, or onboarding assistants. Assign ownership, set edit controls, and publish approved Gems to the team. Monitor usage and feedback to iterate and retire outdated assistants.

Need help scaling shared Gems? QuarkyByte can help design governance, measure downstream impact, and create rollout plans that minimize duplicate work and maximize consistency. We work with CIOs, product leads, and security teams to translate shared AI into reliable workflows and measurable results.

Bottom line: Gem sharing is a practical step toward collaborative AI. It turns individual prompt engineering into a sharable organizational asset—if teams add governance and measurement. That combination is what separates a neat trick from real productivity gains.