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Written by Max Zeshut
Founder at Agentmelt
A dialogue between a user and an AI agent that spans multiple exchanges, where each message builds on prior context. Managing multi-turn conversations requires the agent to track conversation state, resolve references ('that order' → order #4521 from earlier), handle topic switches, and maintain coherent context as the interaction grows. Multi-turn quality is what separates production-grade agents from basic prompt-response demos.