I keep seeing multi-agent systems being pushed as the future, but in most real workflows they feel like overengineering. More agents = More coordination issues More failure points Harder debugging In recruiting workflows especially, a single well-structured system (with validation layers) often outperforms multi-agent setups. Feels like people are optimizing for “cool architecture” instead of “what actually works.” Where have multi-agent systems actually been worth the complexity? submitted by /u/MarionberrySingle538
Originally posted by u/MarionberrySingle538 on r/ArtificialInteligence
You must log in or # to comment.