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
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
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
- Ask for any missing inputs, then restate both models and the goal in one sentence each.
- List each model's core assumptions, free parameters, and framework.
- Summarise predictions each makes for {{experimental_context}}.
- Identify signatures that could distinguish them, noting required precision or regime.
- Build a side-by-side table of assumptions, predictions, signatures, and tensions with {{known_constraints}}.
- Note where the comparison depends on unstated assumptions or incomplete literature.
- 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.