>I don't trust LLMs to do the kind of precise deterministic work

not just in a spreadsheet, any kind of deterministic work at all.

find me a reliable way around this. i don't think there is one. mcp/functions are a band aid and not consistent enough when precision is important.

after almost three years of using LLMs, i have not found a single case where i didn't have to review its output, which takes as long or longer than doing it by hand.

ML/AI is not my domain, so my knowledge is not deep nor technical. this is just my experience. do we need a new architecture to solve these problems?

ML/AI is not my domain but you don’t have to get all that technical to understand that LLMs run on probability. We need a new architecture to solve these problems.