I keep seeing multi-agent setups being pushed as the “next big thing,” but in practice they often feel harder to manage than they’re worth. Coordination overhead, debugging complexity, and latency can add up quickly. In many cases, a single well-designed agent seems to perform just as well—if not better. For those who’ve built both: where have multi-agent systems actually outperformed simpler setups? submitted by /u/MarionberrySingle538
Originally posted by u/MarionberrySingle538 on r/ArtificialInteligence
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