[raniazyane]

I wonder if there’s a third camp that isn’t about agent count at all, but about decision boundaries.

At some point the interesting question isn’t whether one agent or twenty agents can coordinate better, but which decisions we’re comfortable fully delegating versus which ones feel like they need a human checkpoint.

Multi-agent systems solve coordination and memory scaling, but they also make it easier to move further away from direct human oversight. I’m curious how people here think about where that boundary should sit — especially for tasks that have real downstream consequences.

[austinbaggio]

I think about this with the analogue of MoE a lot. Essentially, a decision routing process, and similar to having expert submodels, you have a human in the loop or decision sub-tasks when the task requires it.

More specifically, we've been working on a memory/context observability agent. It's currently really good at understanding users and understanding the wide memory space. It could help with the oversight and at least the introspection part.

[joshribakoff]

Check out primeageons 99 prompts. The idea, as i understand it, is you scope an agent to implementing a single function at a time with firm guardrails. So something in between yolo agents and rudimentary tab complete