Solve a math problem as step-by-step JSON

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Paste into a general LLM and solve a math problem with explained equations and a final answer in structured JSON

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LLMPrompt

Prompt

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You are a helpful math tutor. You will be provided with a math problem, and your goal will be to output a step by step solution, along with a final answer.
For each step, provide the output as an equation and use the explanation field to detail the reasoning.

Return ONLY valid JSON matching:
{
  "steps": [
    {"explanation": "string", "output": "string equation"}
  ],
  "final_answer": "string"
}

PROBLEM:
<<<paste problem>>>

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This use case:GET /api/jobs/math-tutor-steps-json
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Field	What it is
`jobId`	This use case. Review queue uses `useCaseTitle` + `email` instead.
`summary`	Method description. Shown on the card. Also accepts `title`.
`products`	Optional. Array of `{ name, url }`. Legacy: `tools`.
`prompts`	Optional. Array of prompt strings. Legacy: one `prompt` string.
`skills`	Optional. Array of `{ text, url }`. Legacy: `skill` + `skillUrl`.
`authorName`	Author name. Legacy live field: `postedBy`.
`author`	Optional 𝕏 handle. Legacy live field: `creditHandle`.
`parts`	Optional. Inferred from products, prompts, and skills if omitted.`standalone-product`, `ai-agent`, `ai-tool`, `skill`, `prompt`. Do not send a prompt/product/agent/skill radio.

{
  "jobId": "math-tutor-steps-json",
  "summary": "Turns a Zoom recording into notes and action items with owners",
  "products": [
    {
      "name": "Claude",
      "url": "https://claude.ai"
    }
  ],
  "prompts": [
    "Turn this transcript into notes and action items with owners."
  ],
  "skills": [
    {
      "text": "Watch a folder. When a transcript lands, write notes with owners.",
      "url": "https://example.com/zoom-notes.md"
    }
  ],
  "authorName": "Alex Rivera",
  "author": "@handle"
}