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There is plenty of legacy software out there that has no and will never have a nice API to integrate with. Those are the situations where the terrible solutions are either let a human do it or automate the human tool chain from a high level. This is the LLM spin on it. Is it an efficient or even good solution? Hell no, but if there is no other solution to automation (assuming that's the goal) then does that matter?

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This is a severely under-appreciated perspective. A lot of software, especially in industries that are slow to change, is just not programming-friendly. There are no APIs and no access to underlying databases, just user-focused point-and-click.

My take is that those industries are also going to be very slow to adopt any AI tools, especially these, and for good reasons. We are looking at integrating LLM into our products, but we have customers that told us they can't use any of those, straightforward.

I'd argue that this is not even a solution to begin with. If the LLM gets even one pixel value wrong, then at best the whole process breaks down. At worst, you could do some irreversible damage.

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