Agents get tired like humans and overload like machines. Once you have thousands of them, the hard part is scheduling and coordination, not intelligence.
10 comments
Don’t waste your time.
I wanted to test the veracity of this result so I tested some of my own 100% hand written pieces and what do you know? It came back 100% hand written.
This is a better ad for Pangram than for OP :D
I go and explain why adding more agents can slow you down and the model I use including an example of my own setup.
It's a pretty straightforward problem statement, they didn't really need to outsource the writing.
2. On the other end, can we see point where we can reduce how many agents are needed down the minimal set? For example many chains have reduced staff down to the minimal number of employees (note I do not agree with this) and still the balance sheet is in the black. I think in the hyper optimization and efficiency society we're in I think this will also happen, although the reality of "I can do 100 agents work with 10" might not be in providers and labs best interest economically.
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