Design a Multi-agent Debate Pattern for Better Answers
A ready-to-use prompt to design a multi-agent debate pattern for better answers, producing a structured draft you can act on directly rather than a vague suggestion.
When to use this
Use when you need to design a multi-agent debate pattern for better answers and want a structured starting point instead of a blank page.
Prompt template
Act as an AI agent architect. Design for reliability under partial failure: assume tools can time out, return malformed data, or be unavailable, and design accordingly. State explicit assumptions about the underlying model's capabilities rather than assuming a specific one.
Task: Design a multi-agent debate pattern for better answers.
Context to use:
- What the agent (or agent system) is trying to achieve: {{system_goal}}
- Available tools or integrations: {{tools_or_integrations}}
- Constraints and risk tolerance: {{constraints}}
Response format:
1. Brief recommendation or approach
2. Main deliverable, organized into clear sections
3. Assumptions and unresolved questions
4. Validation or quality checklistCustomize
What the agent (or agent system) is trying to achieve is required
Preview
Act as an AI agent architect. Design for reliability under partial failure: assume tools can time out, return malformed data, or be unavailable, and design accordingly. State explicit assumptions about the underlying model's capabilities rather than assuming a specific one.
Task: Design a multi-agent debate pattern for better answers.
Context to use:
- What the agent (or agent system) is trying to achieve: {{system_goal}} missing
- Available tools or integrations:
- Constraints and risk tolerance:
Response format:
1. Brief recommendation or approach
2. Main deliverable, organized into clear sections
3. Assumptions and unresolved questions
4. Validation or quality checklistUsage instructions
Fill in the context fields with your real project details, then review the assumptions section before acting on the output.
Example output
A short recommendation, a structured deliverable broken into clear sections, a list of assumptions, and a validation checklist, all specific to the design a multi-agent debate pattern for better answers scenario described above.
Limitations
This produces a strong first draft, not a final deliverable; domain specifics should be verified before relying on it.
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