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Lesson 7 · 9 min

Multi-agent — when worth it

Most multi-agent demos are a single agent with extra latency. Sometimes it's genuinely the right tool.

The multi-agent claim

The pitch: split a complex task across specialized agents (researcher, writer, critic, coder) — each focused on its strength. The reality: most multi-agent systems shipping in 2026 are just one agent with extra steps and worse latency.

The pattern earns its complexity when:

  • Agents have genuinely different capabilities (e.g., one calls a code interpreter, one calls a search tool, one writes prose).
  • The task has parallelizable subtasks (research three sub-topics in parallel).
  • The role separation adds adversarial pressure (a critic agent that explicitly looks for weaknesses).