bazmattaz
Joined 4 years ago
Joined 4 years ago
What if the response was perfect and sounded exactly like your colleague. Would you care if it was AI generated then?
I think there could be a world where a colleague could just ask its (finely tuned) AI tool of choice to respond for it and colleagues would hardly notice as the output would be so good!
I can’t help but think that that world would be so much more productive as we would spend less time in slack answering messages and more time doing more important work.
However there are two very important things that need to be in place for this to happen: - colleagues have to have their AI tool know all of the their context on their projects….etc and and in-depth understanding of how they write - colleagues must review (and tweak if necessary) the output
My guess is that the problems you are seeing is that your colleagues are failing on one or both of these points
It’s not a great experience if only some apps on supported on your favourite Linux distro while others aren’t.
The best practise for writing docs with LLMs in my opinion, which you have done, is to write as much as you can first then feed that into an LLM for context, and then work with the LLM to finalise it. Maybe half the time is spent writing and half the time is spent going back and forward polishing the doc.
Finally I think it’s important to give the LLM very clear writing guidelines based on your own writing style. I did this by feeding Claude around 20 of my handwritten docs and asked it to analyse my writing style and then add thy to its Claude.md. After a free round of iterations you can get great results!
For example I could never setup Traefik correctly because I just found it too complicated. Now I have Claude I finally got it setup just the way I want it - the ROI on my Claude subscription has been off the scale!
The obvious downside is that I might not really know what exactly I’m implementing and why. I do read all the explanations that Claude gives but it’s hard to retain this information. So there are pros and cons to relying on AI for this kind of stuff I suppose