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Multi-Agentic EdTech: The Promise and the Costs
Matched: Agentic
Multi-agentic AI is generating hype in EdTech, but the concept is simpler than buzzwords suggest: multiple AI agents, each with defined roles, passing work sequentially like a team. The real concern is cost—each agent consumes tokens for context, reasoning, and output, and errors compound across the chain unpredictably. In education, where "humans in the lead" matters, elaborate automation risks cognitive surrender over genuine support. Niche applications exist, but widespread adoption faces serious variable cost barriers.