Back to guide/Developer Tools

Debate Simulator

Claude's balanced reasoning produces genuinely strong arguments for both sides without favoring one. Gemini adds real-world data grounding to strengthen evidence claims. The round structure prevents either model from front-loading one position.

claude-vs-geminidebate_topicposition_aposition_b
Edit View
Prompt
Simulate a structured debate on: {{debate_topic}}

Position A: {{position_a}}
Position B: {{position_b}}
Context: {{context}}

Format the debate as follows:

**Round 1 — Opening Statements** (200 words each)
Each side presents their strongest case with evidence.

**Round 2 — Rebuttals** (150 words each)
Each side directly addresses the other's strongest point.

**Round 3 — Cross-Examination** (3 questions each)
Each side asks pointed questions the other must answer.

**Round 4 — Closing Arguments** (100 words each)
Final appeal focusing on the single most compelling reason.

**Judge's Analysis**:
- Strongest argument from each side
- Weakest argument from each side
- What both sides missed
- Verdict: Which position has stronger evidence (and what would change your mind)

Rules: Both sides must use specific evidence, not vague appeals. No strawmanning — represent each position at its strongest.

Variables to customize

{{debate_topic}}{{position_a}}{{position_b}}{{context}}

Why this prompt works

Claude's balanced reasoning produces genuinely strong arguments for both sides without favoring one. Gemini adds real-world data grounding to strengthen evidence claims. The round structure prevents either model from front-loading one position.

Save this prompt to your library

Organize, version, and access your best prompts across ChatGPT, Claude, and Cursor.

Related prompts

Code Review Assistant

Get thorough code reviews with actionable feedback tailored to your language, framework, and standards.

Context-Aware Code Completion

Providing the surrounding code and project context lets the model match existing patterns exactly. The constraint against modifying existing code prevents unwanted side effects.

Inline Code Suggestion

Constraining suggestions to match existing style and scope produces insertions that feel native to the codebase. The 'no explanation' rule mimics real inline completion behavior.

Code Explanation

The audience level parameter adjusts complexity automatically. Requiring a usage example ensures the explanation is practical, not just theoretical.