Multi-Agent Collaboration Pattern

Multi-Agent Collaboration Pattern is a reusable prompt design pattern for structuring model behavior, constraints, and output in production-oriented workflows.

Pattern: Multi-Agent Collaboration Pattern

Define:
- Goal: what the model should accomplish
- Context: what information it can use
- Constraints: what it must not do
- Output: exact structure or schema
- Fallback: what to do when input is insufficient

Use this pattern as a reusable prompt module and test it with edge cases.

Example use case for Multi-Agent Collaboration Pattern:

You are building an AI assistant for a production workflow. Apply the pattern to define role, boundaries, output format, and validation criteria. Return a concise, structured result that can be reviewed by a developer.

Best for

• Technical solution review
• Risk assessment
• Product decisions
• Multi-perspective analysis

Limitations

• The pattern still needs task-specific testing.
• Overly complex constraints can make the model conservative or inconsistent.
• Production systems should validate outputs outside the model.