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cocoafrog@hachyderm.ioC

cocoafrog@hachyderm.io

@cocoafrog@hachyderm.io
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  • Helped my very non-technical classical pianist brother tonight by setting up a system where he pastes a well-constructed prompt into Claude, and it turns the 12-16 hours/month of accounting work he does for his music school into 30 minutes.
    cocoafrog@hachyderm.ioC cocoafrog@hachyderm.io

    @myell0w @mergesort yeah, that’s why I‘m curious about Joe‘s approach. I could see „write me an app/script that does this“ work mostly reliably. But Joe mentioned connecting Claude to Google Calendar which sounds like piping the data directly through Claude. But maybe that was just a toot-sized simplification.

    Then again, if you let it generate a tool, but you don‘t have the skillset to review that code (-> non-technical user) how do you ensure it does what you want it to do?

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  • Helped my very non-technical classical pianist brother tonight by setting up a system where he pastes a well-constructed prompt into Claude, and it turns the 12-16 hours/month of accounting work he does for his music school into 30 minutes.
    cocoafrog@hachyderm.ioC cocoafrog@hachyderm.io

    @mergesort I‘m very skeptical of a lot of the things people use LLMs for. But I‘m trying to approach your example with an open mind

    Accounting seems like one of the things you really shouldn’t use an LLM for as you want 100% accuracy, you want determinism and you want to be able to understand how the system gets to a result.

    How did you solve those problems?

    Lets ignore „understanding the system“ and „deterministic“ for now: how did you make sure the result is actually correct (and not just „in the right ballpark“ but „accurate to the cent“, it’s about money and billing/paying people after all)? It seems like testing this and making sure it works correctly alone would take a lot longer than an hour? How did you approach this? How did you solve it?

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