multi_use_template

{
  "meta": {
    "template_version": "2.0",
    "use_case": "[Brief label, e.g. 'Code Review', 'Content Creation', 'Data Analysis']",
    "author": "[Optional: your name or team]"
  },

  "role": "[Define the AI's persona, e.g. 'You are a senior software architect' or 'You are a technical writer']",

  "goal": "[High-level objective — what should be achieved overall, e.g. 'Help refactor legacy Python code for readability and performance']",

  "task": {
    "primary": "[The core action to perform, e.g. 'Summarize the following document']",
    "secondary": "[Optional follow-up action, e.g. 'Then suggest three improvements']",
    "scope": "[What is in/out of scope, e.g. 'Focus only on the introduction and conclusion sections']"
  },

  "context": {
    "background": "[Relevant context the AI needs, e.g. 'This is for a non-technical executive audience']",
    "audience": "[Who will consume the output, e.g. 'Junior developers', 'Marketing team', 'End users']",
    "domain": "[Field or subject area, e.g. 'DevOps', 'Healthcare', 'E-commerce']"
  },

  "input": {
    "data": "[The actual text, code, or data to work with — paste it here]",
    "source_type": "[Type of input, e.g. 'raw text', 'JSON', 'Python snippet', 'user story']",
    "notes": "[Any quirks or caveats about the input, e.g. 'This may contain typos']"
  },

  "output": {
    "format": "[Desired format, e.g. 'Markdown bullet list', 'JSON', 'Plain prose', 'Table']",
    "length": "[Rough length guidance, e.g. 'Max 300 words', 'As detailed as needed', '5 bullet points']",
    "structure": "[Optional section headings or order, e.g. 'Summary → Key Issues → Recommendations']",
    "tone": "[Desired tone, e.g. 'Formal', 'Concise', 'Friendly', 'Technical']"
  },

  "constraints": [
    "[Rule 1, e.g. 'Do not use jargon']",
    "[Rule 2, e.g. 'Always cite line numbers when referencing code']",
    "[Rule 3, e.g. 'Do not invent data not present in the input']"
  ],

  "examples": [
    {
      "label": "[Descriptive name for this example, e.g. 'Happy path']",
      "input": "[Sample input]",
      "output": "[Expected output]"
    },
    {
      "label": "[Edge case or alternative, e.g. 'Empty input']",
      "input": "[Sample edge-case input]",
      "output": "[Expected output for edge case]"
    }
  ],

  "iteration": {
    "ask_clarification": "[true/false — should the AI ask before proceeding if something is unclear?]",
    "offer_alternatives": "[true/false — should the AI offer variant outputs?]",
    "self_critique": "[true/false — should the AI briefly evaluate its own response at the end?]"
  }
}