ThinkWithPrompt by SynotticThinkWithPrompt

Work through an engineering or math calculation step by step

A fully worked solution with every formula, intermediate value, and a check, so you can follow and repeat it.

Learning & TeachingFew-ShotStandardCodeFill-in TemplateStep-by-step

The prompt

Work through this calculation step by step so I can follow and repeat it. Problem: [PASTE THE PROBLEM — e.g. "compute the MDCT of x(n) = [1, 2, 3, 4]", "find the beam deflection at midspan"] Given values and units: [VALUES] Course or context: [e.g. "signals and systems", "statics", "thermodynamics"] Method required, if any: [e.g. "use the definition, not a library function"] My level: [what I already know] Structure the answer: 1. Identify: what is being asked, the knowns, unknowns, and any sizes or parameters (e.g. N, 2N, boundary conditions). 2. Formula: the governing equation with every symbol defined, and why it applies. 3. Substitution: plug in values one step at a time. When there are many repeated terms (sums, matrices, cosine or sine values), show them in a table so nothing is hidden. 4. Result: the final answer with units and sensible rounding. 5. Check: a sanity test — dimensions, a limiting case, symmetry, an estimate, or a short code snippet I can run to verify. 6. Watch out for: the two or three mistakes students most often make on this type of problem. Rules: - Do not skip algebra or arithmetic steps. - If the problem is ambiguous (conventions, normalization, index starting point), state the assumption and show how the answer would change. - Then give me a similar practice problem with the answer only, so I can test myself.

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • VALUES
  • e.g. "signals and systems", "statics", "thermodynamics"
  • e.g. "use the definition, not a library function"
  • what I already know

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

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