i recently started using them as assistants for programming. i usually don't let them write code as it's often (subtly) wrong. examples are: * how do i use lib

i recently started using them as assistants for programming. i usually don't let them write code as it's often (subtly) wrong. examples are: * how do i use library X to do task Y (excellent for quickly getting up to speed with new libraries). * actual example from a few days ago: "the most common CI/CD systems and how to identify them" - chatgpt correctly gave me the environment variable names for github actions, gitlab ci, travis, circleci, jenkins and a one or two others. theoretically it saved me having to go through the docs of 7 different systems looking for the right information, which i still did to make sure the data was legit. just confirming the info was still a lot less work as i already knew what to look for. * how do i create a certain style with css framework XYZ * is there an algorithm for solving the following problem ...? * alternative phrasings or synonyms if i can't find the right words myself. * cooking recipe suggestions ("i have ingredients a, b and c, give me a stew recipe") * pop culture questions ("why did the fremen settle on a hostile planet like arrakis in the first place?") i'm too lazy to research myself or ask on reddit * sometimes my (non-natively english speaking) coworkers produce engrish i just can't parse. asking gpt to correct or explain the sentence often yields surprisingly good results. usually i double check the results but that's still less work than doing all the work by myself from the beginning. recently i also let it write and style html forms which works quite well. so for me, they're a welcome productivity boost.