I’ve been reading about autonomous AI teams and multi-agent orchestration, and I’m genuinely curious how this works in practice. The concept sounds powerful—like having different AI agents handle different parts of a complex workflow, then feeding results from one agent into the next.
But I keep wondering: how do they actually coordinate? Like, if Agent A is scraping data and Agent B is supposed to validate and clean it, and Agent C is supposed to load it into a database—how does the workflow ensure that each agent does its job correctly and passes the right data to the next?
Do you need to hand-code all the coordination logic? Does the system handle it automatically? What happens when one agent fails or returns unexpected data? Do the other agents keep running or does the whole thing halt?
I’m trying to figure out if this is actually simpler than building one complex automation, or if it just shifts complexity around. Has anyone actually built this kind of multi-agent workflow? What was your experience?