This presumes that they know exactly what they want.
My brother works for a company and they just ran into this issue. They target customer retention as a metric. The result is that all of their customers are the WORST, don't make them any money, but they stay around a long time.
The company is about to run out of money and crash into the ground.
If people knew exactly what they wanted 99% of all problems in the world wouldn't exist. This is one of the jobs of a developer, to explore what people actually want with them and then implement it.
The first bit is WAY harder than the second bit, and LLMs only do the second bit.
Sure, but without an LLM, measuring customer retention might require sending a request over to your data scientist because they know how to make dashboards, then they have to balance it with their other work, so who knows when it gets done. You can do this sort of thing faster with an LLM, and the communication cost will be less. So even if you choose the wrong statistic, you can get it built sooner, and find out sooner that it's wrong, and hopefully course-correct sooner as well.
This presumes that they know exactly what they want.
My brother works for a company and they just ran into this issue. They target customer retention as a metric. The result is that all of their customers are the WORST, don't make them any money, but they stay around a long time.
The company is about to run out of money and crash into the ground.
If people knew exactly what they wanted 99% of all problems in the world wouldn't exist. This is one of the jobs of a developer, to explore what people actually want with them and then implement it.
The first bit is WAY harder than the second bit, and LLMs only do the second bit.