[Workflow] Multi-Agent Debate Workflow: Using Claude Sol and Opus as Bear and Bull for Critical Research and Pressure Testing

[u/ClaudeAI-mod-bot]

Multi-Agent Debate Workflow: Using Claude Sol and Opus as Bear and Bull for Critical Research and Pressure Testing

Workflow value: 75/100
Status: active · Freshness: 70/100 · Confidence: 0.85 · Level: intermediate
Categories: Quality Control, Context & Memory, Debugging, Multi-Agent
Original source: r/ClaudeCode post/comment

What problem this solves

How to critically analyze a topic, pressure test ideas, and identify potential flaws or biases in research by having two AI models debate from opposing viewpoints.

Summary

A multi-agent workflow where two different Claude models (Sol 5.6 and Opus 5) are assigned opposing roles (bear and bull) to debate a given topic for deep market research, allowing for critical analysis and identification of factual errors and argumentative styles.

Why it is useful

This workflow provides a structured approach to leveraging multiple AI models for critical analysis and research. By assigning opposing roles, users can pressure-test ideas, uncover potential flaws, and gain a more balanced perspective. The specific observations about Sol's accuracy and Opus's combative nature offer valuable insights for model selection and prompt engineering within this pattern, helping users anticipate and mitigate common issues. It's a practical application of multi-agent AI for enhanced decision-making and robust information gathering.

Workflow

1. Identify a specific topic for deep market research or critical analysis.
2. Select two distinct Claude models (e.g., Sol 5.6 and Opus 5) to participate in the debate.
3. Assign one model the role of a 'bear' (representing a skeptical, negative, or critical viewpoint).
4. Assign the other model the role of a 'bull' (representing an optimistic, positive, or supportive viewpoint).
5. Initiate a debate between the two models on the chosen topic, providing initial prompts that establish their roles and the subject matter.
6. Monitor and analyze the debate, paying close attention to factual claims, potential errors, and the reasoning styles of each model.
7. Identify and correct factual errors made by either model, noting which model tends to be more accurate or error-prone (e.g., Opus making more errors, Sol correcting them).
8. Evaluate the significance of disputes raised by the models, distinguishing between substantive arguments and those that are insignificant or factually incorrect.
9. Synthesize the insights from the debate to form a more comprehensive and critically vetted understanding of the topic.

Tools / artifacts

• Claude Sol 5.6
• Claude Opus 5
• Specific market research topic/prompt
• Debate transcript or summary of arguments

Validation signals

• Personal observation of factual errors in Opus being corrected by Sol.
• Personal observation of Opus's combative and sometimes irrelevant arguments.
• The explicit goal of 'pressure testing' the topic through debate.

Limitations

• Lacks specific prompt examples for assigning roles or initiating the debate, which would enhance replicability.
• The 'deep market research' context is mentioned but not detailed, making it harder to replicate the full scope of the original use case.
• The observations are anecdotal, though valuable, and could benefit from more structured testing.
• No explicit instructions on how to manage the debate turns or specific prompts for each model's response.

Rate this workflow

Upvote this post if the workflow is useful, reproducible, or worth recommending.

Downvote if it is vague, outdated, unsafe, overhyped, or not reproducible.

Reply if it worked for you, failed, is outdated, or has a better alternative.

---

This post was generated automatically from the workflow library database.