The decoupled cloud-to-local approach is interesting because it separates intent processing from actually performing the task on the machine. The important test seems to be how reliably that handoff works in real-world conditions without making users think about the architecture underneath.
That’s a good distinction. I’d be curious to hear what you learn once people start using that handoff in real workflows.
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I became entirely frustrated with traditional AI chatbots being locked inside rigid browser sandboxes. They talk endlessly, but they cannot perform raw, native operating system tasks on local machine. I built AetherLAM
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The decoupled cloud-to-local approach is interesting because it separates intent processing from actually performing the task on the machine. The important test seems to be how reliably that handoff works in real-world conditions without making users think about the architecture underneath.
Yeah you are right!
That’s a good distinction. I’d be curious to hear what you learn once people start using that handoff in real workflows.