Your build starts here
Replace bracketed details with your own goal, context, and checks. Keep the first build small enough to inspect.
Build a simulation for [question] with explicit model assumptions, parameters, units, and initial conditions. Define the outputs that answer the question and one simple reference case or invariant. Record the numerical method, tolerances, time step or grid, and random-generator configuration. Check convergence by refining relevant settings and explore sensitivity to important parameters. Preserve repeatable configurations and seeds for debugging. Report implementation verification separately from real-world model validation, including omitted effects and the range where the experiment provides useful evidence.Make this prompt yours
Replace bracketed fields with your goal, current behavior, and relevant evidence. Keep requirements that affect the task. Check the result against the acceptance criteria you supplied.
The docs behind it
These references explain the underlying concepts and APIs. The prompt templates and project plans are original examples to adapt to your own setup.
- SciPy — Integration, time steps, and error tolerances
- NASA — Model verification and validation definitions
- NumPy — Random-number generators and seeds
Documentation links checked .
Editorial review · October 28, 2026
Limited: Original instructional template; not executed. Simulation-experiment prompt is an original reproducibility procedure, not evidence that a model was validated or run.