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Agents and teams
Distinct roles, agent teams, routing and composition: how several AIs work together.
3 · Articles on this topic
Complementary specialists: a team of agents for complex decisions
Having many AI models isn’t enough. We need structurally distinct roles: analyst, creative, critic, pragmatist, visionary, contrarian, and synthesizer. Useful diversity isn’t just for show; it’s about role-prompt engineering. What changes when a complementary team works together on the same problem?
The Orchestrator: the architecture that sets Arena apart from single-instance AIs
A single AI conversation involves only one voice at a time. A system that is multi-agent and lacks coordination is nothing more than parallel noise. The Orchestrator—is the layer that brings multiple responses into dialogue, highlights points of agreement and disagreement, writes the final report, and proposes the next prompt. What changes with a layer of intelligence that coordinates?
Agents with distinct personalities: specialized teams for in-depth analysis
Analyst, Creative, Pragmatist, Critic, Visionary, Devil’s Advocate, Synthesizer: In “AI Arena,” agents fill distinct cognitive roles and come together in ready-to-use teams for every decision-making context.
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