I am working on a new (default disabled) persona for Discourse AI that specializes in deep research.
The key differentiator is that this persona is given permission to work through very large bodies of text, this unlocks a large amount of previously extremely complicated use cases.
Today I was looking at our main Kanban topic, it has gotten quite enormous and splitting it off into sub topics (features / bugs / support) can take an enormous amount of manual work.
Here is a link of how I leaned on Forum Researcher to help prep for the manual work:
It is a prime showcase of how this kind of tooling can assist us in working through some of the more complex parts of managing a forum.
Happy to take questions, the feature itself is now in Discourse AI but the persona is default disabled and I am holding off on documenting for a bit more while I refine the feature.
Hope you all are as impressed as I am at the general usefulness of this tool.
Breaking down those long-tailed topics was pretty brutal. Something like this would have helped immensely.
I found some advice I wrote about the manual way (though I appreciate that there are multiple ways to tackle the job) and thought it could be fun/useful to compare against the AI assisted version:
Something like this would have helped immensely. 