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I tested a local LLM on 5 everyday tasksβ€”only one was actually worth doing

I use local LLMs on a daily basis, but in my personal setup, they're only really useful for a limited selection of tasks. I wanted to see how a local LLM could handle everyday tasks. My most powerful device for running LLMs is my M2 MacBook Air with only 8GB of RAM, so while more powerful hardware could do much more, these results should broadly match what you can do on similar hardware.

I automated my Windows clipboard with Claude to process copied text automatically

Most people who use AI assistants spend more time switching windows than they think. You copy something, alt+tab to a browser, open a chat window, paste it in, wait, copy the response, and tab back to wherever you were. If you do that twenty times a day, you're losing more time to that routine than to the actual problem you're trying to solve. Wiring your Windows clipboard directly to Claude's API will help you out.

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