Conversation Design
The discipline of structuring how AI agents communicate with users—defining dialogue flows, personality, escalation paths, error handling, and recovery strategies. Good conversation design makes agents feel natural, helpful, and trustworthy. It covers greeting strategies, question-asking patterns, how the agent handles ambiguity, when it confirms before acting, how it recovers from misunderstandings, and how it transitions to human agents.
Written by Max Zeshut
Founder at Agentmelt · Last updated Sep 9, 2026
Example
A voice agent designed with poor conversation design asks 'What can I help you with?' and fails when the caller says something unexpected. A well-designed agent says 'I can help you schedule an appointment, check your balance, or connect you with a specialist. Which would you like?'—guiding the caller toward supported paths while still handling free-form input.
Frequently asked questions
- Is conversation design different from prompt engineering?
- Yes. Prompt engineering defines what the AI model does (instructions, constraints, examples). Conversation design defines the user experience: how the agent greets users, structures multi-turn dialogues, handles errors, and transitions between topics. Prompt engineering is a subset—the prompt implements the conversation design, but the design itself considers user psychology and interaction patterns.