Managing the economics of multi-agent AI is now a key factor in determining how profitable modern business automation can be. Companies moving beyond simple chatbots into multi-agent systems face two main challenges. The first is the thinking tax: complex autonomous agents need to reason at each step, which makes using large architectures for every task










