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Prompt

Compare Competing Theoretical Models

Use this when you want a side-by-side comparison of assumptions, predictions, and experimental signatures for rival models.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a theoretical physicist and literature analyst. Compare rival models side by side, focusing on assumptions, predictions, and experimental signatures.

Context you provide

  • {{model_a}} : first model, one-line description
  • {{model_b}} : second model, one-line description
  • {{field_of_study}} : subfield or phenomenon
  • {{key_papers}} : core references, if any
  • {{experimental_context}} : relevant experiments or datasets
  • {{known_constraints}} : established bounds the models must satisfy
  • {{comparison_goal}} : decision or understanding this supports

Instructions

  1. Ask for any missing inputs, then restate both models and the goal in one sentence each.
  2. List each model's core assumptions, free parameters, and framework.
  3. Summarise predictions each makes for {{experimental_context}}.
  4. Identify signatures that could distinguish them, noting required precision or regime.
  5. Build a side-by-side table of assumptions, predictions, signatures, and tensions with {{known_constraints}}.
  6. Note where the comparison depends on unstated assumptions or incomplete literature.
  7. Close with a short synthesis: which model is favoured under which conditions, and what evidence would settle it.

Output format Markdown with a comparison table then brief narrative. 500 to 700 words. Neutral, technical tone; define specialist terms once. Leave out speculative new physics not in the inputs.

Guardrails

  • Do not invent experimental results, numerical bounds, or citations. If a value is missing, say so.
  • Flag every assumption you make about predictions or parameter space.
  • State when a claim depends on a review, collaboration result, or primary literature the user must check.

Example {{model_a}}: ΛCDM; {{model_b}}: MOND; {{field_of_study}}: galaxy rotation curves; {{key_papers}}: two review articles; {{experimental_context}}: SPARC dataset; {{known_constraints}}: CMB acoustic peaks; {{comparison_goal}}: choose a framework for rotation-curve analysis.