I’ve been reading about using multiple autonomous AI agents working together on browser automation tasks. The pitch is that you can have one agent handle login, another do data extraction, a third handle validation, and they coordinate to get the job done.
That sounds elegant in theory. But I’m wondering if it’s actually simpler than just building a single, well-designed workflow.
Here’s what I’m skeptical about: coordinating multiple agents means more complexity in how they communicate. You need rules for how they hand off data to each other, error states when one agent fails, and fallback logic when something doesn’t work as expected. That all sounds complicated.
Alternatively, I could build a single workflow that does login, extraction, and validation in sequence. That’s straightforward, I understand it completely, and debugging is easier because there’s one place where things can go wrong.
I get that multi-agent systems could be powerful for really complex tasks—maybe something needs true intelligence to plan dynamically, or you have competing objectives to balance. But for browser automation, where the task is usually well-defined and sequential, does orchestrating multiple agents actually buy you anything?
Has anyone tried both approaches for realistic browser automation tasks? Do you end up with simpler, more maintainable workflows using multiple agents, or do you just shift the complexity to coordination and error handling?