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What 'On-Device' AI Really Means for Mac Assistants

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A developer building a local-first Mac AI assistant called Pace argues that labeling a product 'on-device' is misleading if only one component runs locally while sensitive data like audio, screen content, and memory still travel to remote servers. The developer identifies several data types — including microphone transcripts, screen context, prompts, and conversation history — that must all follow a local path for an assistant to genuinely qualify as on-device. According to the piece, networked features should be optional and clearly disclosed, and any feature requiring internet access should signal that to the user before data leaves the machine. The developer also emphasizes that local processing should not break when a remote service goes offline, and that user actions taken by the assistant must remain bounded, attributable, and explainable. A checklist of questions is proposed to help users evaluate whether an AI assistant's on-device claims are technically substantive or primarily a marketing label.

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