I am no expert but I noticed a slight feedback loop here ^^.
In code with the API I setup a system to look at a problem from multiple perspectives… Different specialists… But I only wrote it for code and don’t maintain it too well, been waiting for newer coding models it’s gotten a bit bulky. (Starting back on that now with latest model releases)
Relying on a single voice might be ok if it’s not the only ‘adult voice of reason’…
You are better off in your own head than having someone agree to everything you say…
ChatGPT favors the user’s view, more than others…
Having multiple view points not necessarily even focused on the user ie having at least some autonomy to critique each other from different personas was the system I was trying to build then…
It seems to me that humans are built better to play off each other than to play off someone agreeing with all they say?
I try all sorts of things to check my thinking… Clearly I am sure @_j will have a critique on this ^^… Which is always appreciated… That is why I do this too.
“Check my post on this, rate my response with % ratings:”
“Critique my response”
“What might @_j say about my response?” 
Delete Memories That Are Not / No Longer Relevant (Or turn them off)
Use different models
Consider outside of ChatGPT (With others if you can)
etc etc
Personalisation → Custom Instructions - appear to be pretty heavy weights on output
The more you customise it about you the more those weights add up as I understand it… It is trying to be ‘helpful’ to you… To weight things positive to your perspective… Like a search algorithm that gives you biased search results