Detecting the kind of spam we see on our forum with an LLM is really like killing a fly with an atom bomb. The watched words small language model would pretty much be enough if only it was applied to edits.
I’m hesitant to use the LLM spam detection because I don’t know how much energy (and CO2) it uses (probably at least a million times more than the watched words feature), and it might have unexplainable false positives. The guide also makes it seem very difficult to set up (and I’m not an admin, so I’ll have to ask someone higher up to figure this out).
IMO, give a Decision 1 model a try. I use this workflow to isolate users that service account/group emails and have an auto-response to email notifications. I also added one for any solicitations that come to our community email address. I found a LLM to be a little too unreliable for this, but implementing a decision 1 agent has been bullet-proof.
Looks like workflows has a Post Edited option as well.
Here is the json with the post edit trigger added, if you want to try import it. You would just have to update the prompts to be for your specific scenarios.
