Agent demos scale with prompts.
Production systems scale with architecture.
As soon as multiple agents start talking to each other, coordination cost becomes the dominant failure mode. More messages don’t mean more intelligence—they mean more noise.
Research on multi-agent scaling shows that performance peaks early and then degrades once coordination tokens exceed a critical threshold. In real systems, this shows up as:
- slower responses
- inconsistent outputs
- hidden bottlenecks in supervisors and routers
The key insight: adding agents without redesigning communication guarantees failure.
The full article breaks down:
- five agent topologies
- coordination budgeting heuristics
- which architectures survive real-world load
👉 Read the full article on Sparrow Intelligence
https://blog.sparrow.so/scaling-llm-agents-beyond-demos-coordination-costs-topologies-and-what-actually-works/
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