The video highlights the new cloud and mobile capabilities of Claude Co-work, emphasizing its potential as a game changer for AI operating systems while noting current limitations such as incomplete syncing and reduced functionality compared to routines. The presenter recommends a hybrid approach—combining local desktop work with selective cloud scheduling—and advises cautious adoption as the platform continues to develop and improve.
The video introduces the new cloud and mobile capabilities of Claude Co-work, highlighting it as a potential game changer for AI operating systems. The presenter begins by demonstrating how scheduled tasks can now be set up and synced in the cloud via the desktop app, noting that beta access requires the max plan and is being rolled out progressively. While scheduling cloud-native tasks is straightforward and syncing works well for these tasks, the integration with projects and other components of the AI operating system is currently lacking, leading to some frustrations with the user experience during this beta phase.
A key point discussed is the distinction between cloud-native tasks and routines. Cloud-native tasks in Co-work are essentially scheduled tasks that run skills and connectors stored in the user’s account, but they lack the advanced functionalities of routines, such as API and GitHub integrations. Routines also have a limit on how many can run depending on the user’s plan, whereas there is currently no documented limit on cloud-scheduled tasks. The presenter emphasizes that while cloud scheduling is promising, it is not yet a complete replacement for routines, especially for more complex automation workflows.
The video also explores the differences between a fully cloud-native setup and a hybrid approach. The presenter recommends a hybrid solution for now, where most work is done locally on the desktop app with some tasks scheduled in the cloud, rather than moving everything to the cloud. This is due to current limitations such as the lack of automatic syncing of project folders, local documents, and certain tools between desktop and cloud environments. Plugins, skills, and connectors do sync across environments, but local files and project structures do not, which requires users to make a deliberate design choice based on their needs.
On the mobile front, the presenter shows how the Co-work mobile app allows users to create and run cloud-scheduled tasks, with syncing working well between phone, desktop, and web versions. However, the mobile experience is still limited, lacking the ability to manage projects or add complex context as on desktop or web. The presenter also demonstrates some errors encountered due to sandbox restrictions in the cloud environment, underscoring that the system is still in beta and not yet ready for full client deployment.
In conclusion, the video advises viewers to focus on leveraging the benefits of cloud-scheduled tasks while the platform continues to mature. The presenter plans to release further content on how to effectively map and schedule tasks within an AI operating system. Overall, while the cloud and mobile features of Claude Co-work represent significant progress, users should approach adoption cautiously and consider a hybrid setup until syncing and user experience improvements are fully realized.