Multi-Turn Strategy

Multi-turn strategy manages state, context, clarification, and topic shifts across a conversation.

Intermediate Architecture

When to use

Use it for chatbots, support agents, complex workflows, and tasks that require clarification across several turns.

Task: Apply Multi-Turn Strategy to the user's request.

Context: describe the input, constraints, target audience, and desired format.

Instruction: be explicit, keep the output structured, and state any assumptions.

Structured answer based on the requested technique.

Key result: the model follows the stated task and format.
Notes: validate the output before using it in production.

Best practices

• Define conversation stages.
• Track key user facts explicitly.
• Summarize long history.
• Handle topic changes gracefully.

Common pitfalls

• Long conversations can lose early details.
• Pure prompt-based state tracking is unreliable.
• Unexpected topic switches can break the flow.