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Notes from real desktop work
Writing on coding, research, and operations workflows around local-first AI, screen-aware software, and how these tools fit day-to-day work.
Why coding teams are looking for a local AI assistant
Coding teams are not looking for AI in the abstract. They are looking for less friction in the editor, terminal, browser, issue tracker, and all the little handoffs in between. That is why local AI assistants for coding are becoming a more specific search category.
Private AI is especially useful for research workflows
Why research workflows benefit from private AI, local memory, and screen-aware desktop context instead of prompt-by-prompt setup.
Why operations teams benefit from screen-aware AI
Operations teams work across inboxes, calendars, dashboards, and docs, which is exactly why screen-aware AI can be more useful than chat-first tools.
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Jump back into guides, use cases, and comparisons
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