I’ve been experimenting with the idea of setting up multiple AI agents to work together on a single complex task—like having one agent collect data, another validate it, and a third generate a report. But I’m running into coordination problems.
When I set multiple agents loose on the same workflow, I’m not entirely sure how the handoff works. Does one agent wait for the other to finish? How do you prevent them from stepping on each other or duplicating work? And if one agent makes a decision that affects downstream work, how does that information flow properly?
I understand the concept in theory—specialized agents working in parallel on different parts of a process should theoretically be faster. But in practice, I’m worried about race conditions, conflicting outputs, or agents duplicating effort because they don’t know what the others are doing.
Has anyone actually built multi-agent automations that handle data collection, validation, and reporting end-to-end? How do you structure the coordination to keep things deterministic and avoid chaos at handoff points?