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  "text": "There are all kinds of opportunities to build AI agents that act as seamless collaborators.\n\nHowever, most people today still use AI agents as tools.\n\nAs an example, this collaborative document editing use case finds that participants did not regard the created agents as collaborators.\n\nHere are some additional thoughts:\n\nCollaborative AI design should respect territoriality: profiles may remain individual, while outputs can serve as shared, negotiable artifacts.\n\nEmbedding AI into familiar collaboration features (e.g., comments) eases adoption and supports emerging team norms. There is a lot more to explore in terms of better UX/UI.\n\nFuture systems need focus- and collaboration-aware agent initiative to balance proactive support with user control. Proactive AI is a huge area of exploration for builders.\n\nThere are also trust issues with AI agents that we need to resolve. How much can we trust to offload to agents?\n\nThe work highlights both opportunities (shared prompting, richer feedback) and boundaries (ownership, trust, verbosity) in treating AI as a shared resource for teams.",
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