Conversation Nodes for Human Review

Conversation nodes are often treated as model prompts. In production they should be treated as review interfaces.

Review-first design

A strong Conversation node asks:

• what decision is being requested,
• what evidence is attached,
• what action is blocked until review.

Do not ask for generic "thoughts." Ask for a bounded operational judgment.

Recommended pattern

• Model proposes action and rationale.
• Conversation node presents structured context.
• Reviewer selects approve, revise, or reject.
• Decision node routes based on that response.

This keeps human oversight explicit without stalling every run.

Quality controls

• include source references in review prompts,
• separate recommendation from execution,
• capture reviewer identity and timestamp,
• store rationales for audit and learning loops.

Human-in-the-loop only works if the loop is explicit.