It seems the current agent pre-screening is still a bit fragile against cosmetic changes and clone-style spam variants, especially when outcomes depend heavily on LLM variance.
Do you think it would be worth strengthening it with additional layers like static analysis plus a local AI-agent-based spam detection system?
I’ve been elaborating on some ideas around this recently. Happy to contribute or discuss further if it’s useful. Definitely, I believe that any spam-pattern datasets or detection heuristics should remain private/internal in a production system.
@camfairchild @ibraheem-abe Can we chat on Discord or here? Let me know.
It seems the current agent pre-screening is still a bit fragile against cosmetic changes and clone-style spam variants, especially when outcomes depend heavily on LLM variance.
Do you think it would be worth strengthening it with additional layers like static analysis plus a local AI-agent-based spam detection system?
I’ve been elaborating on some ideas around this recently. Happy to contribute or discuss further if it’s useful. Definitely, I believe that any spam-pattern datasets or detection heuristics should remain private/internal in a production system.
@camfairchild @ibraheem-abe Can we chat on Discord or here? Let me know.