Convert unstructured text into a JSON table

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Paste into a general LLM and convert prose into a JSON table of entities and attributes for structured data use

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Your task is to take the unstructured text provided and convert it into a well-organized table format using JSON. Identify the main entities, attributes, or categories mentioned in the text and use them as keys in the JSON object. Then extract the relevant information and populate the corresponding values. Ensure the data is accurately represented and properly formatted. The resulting JSON table should provide a clear, structured overview of the information in the original text.

Return ONLY valid JSON (array of row objects preferred).

TEXT:
<<<paste unstructured text>>>

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This use case:GET /api/jobs/text-to-json-table
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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": "text-to-json-table",
  "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"
}