Generate Instagram captions from a product photo

MarketingKINDA1 method

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Paste into a general LLM and generate Instagram captions from a product photo description

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LLMPrompt

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Generate Instagram captions from this product photo / notes.

Output 8 captions: 2 witty, 2 educational, 2 UGC-style, 2 promo.
Each: caption + 5–10 hashtags max + alt text.
Avoid cringe clichés.

PRODUCT NOTES:
<<<paste>>>

Method author @devisasari

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How you would do this use case, in plain words. Anyone can post.

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This use case:GET /api/jobs/instagram-captions-product
Schema:GET /api/jobs/schema
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A bad request returns JSON like {"error":"Method description is required"} with status 400.

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": "instagram-captions-product",
  "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"
}