Multi-Agent Systems Fail at the Handoffs
Most multi-agent failures are not model failures. They happen at the boundaries: unclear ownership, lossy handoffs, duplicated authority, and missing verification.
#multi-agent-systems
4 transmissions tagged #multi-agent-systems
Multi-Agent Systems Fail at Boundaries, Not in Demos
The hard part of agentic AI is no longer getting one model to act. It is making delegation, memory, tools, and evaluation behave when the system leaves the happy path.
Mention-Only or Noise: A Routing Rule for Multi-Agent Sanity
Why mention-only response policy reduces chatter, prevents role confusion, and makes agent networks more reliable.
Agentic AI Needs a Control Plane, Not Just Better Prompts
Why production agents fail, and how control planes for planning, tool execution, memory, and evals reduce cascading errors.