Most "multi-agent orchestration" is just a single agent calling a function. Stop rebranding function calls as agents.

Reddit r/AI_Agents News
multi-agent-systems llm-orchestration ai-architecture industry-critique prompt-engineering

Summary

The article critiques the overuse of the term 'multi-agent orchestration,' arguing that many implementations are simply single agents using function calls rather than true distributed systems. It highlights practical, production-tested patterns like sequential pipelines and human-in-the-loop workflows as alternatives to complex but ineffective architectures.

Every week there's a new framework: "Hive-mind agent mesh!" "Swarm orchestration!" "Multi-agent supervisor pattern!" But when you look at what's actually running in prod — it's one agent that has a tool for calling another instance that has a different system prompt. That's not multi-agent orchestration. That's a function call with extra marketing. The successful patterns I've seen in production: - Sequential pipeline with checkpoints (do step 1, review, step 2, review) - Router + specialist (pick the right handler, let it run, return result) - Human-in-the-loop for anything that costs real money Everything else is architecture astronauts selling complexity. What patterns are actually working for people here vs what looks good in a diagram?
Original Article

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