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One Agent, Three Agents, or a Workflow? What the Evidence Says Works Better

At equal compute, one strong agent usually beats a small team. The exceptions are real, but they’re narrower than the diagrams on Twitter suggest.

9 min readJust now

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I had three boxes on a whiteboard labelled Researcher, Analyst and Writer, with arrows between them. It looked like a real system. Then a colleague asked one question: “Compared to what?”

I didn’t have an answer. So before writing any orchestration code, I spent a week reading every controlled comparison I could find of single agents, multi-agent teams and fixed workflows. This piece is what I learned, and the test I now run before I pick an architecture.

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The architecture I almost built. The arrows looked like progress. They were mostly cost.

Why this question matters now

Multi-agent is the default pitch in 2026. Every framework ships an orchestrator. Every demo has a planner handing work to specialists.

When I checked the numbers, though, most of the headline wins compared a multi-agent system against a single agent that had been given far less compute. Change that one variable and the story changes.

What the controlled studies found

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Nirav Vaghasiya
Nirav Vaghasiya

Written by Nirav Vaghasiya

AI/ML Engineer building agentic frameworks, cognitive runtimes, and evaluation systems for LLM applications. niravvaghasiya.dev

Towards AI
Towards AI

Published in Towards AI

We train AI Engineers. We deploy Enterprise AI. Join 100K+ AI practitioners at Towards AI Academy or reach out for help making your company AI native. towardsai.com