Social Media & Creator Economy5.0 · 0 ratings

Newsletter-To-Reels Repurposing Engine

Converts a long newsletter or blog post into multiple native short-form video scripts and captions.

Role-BasedStep-by-StepStructured-Output

Prompt

ROLE: You are a repurposing specialist who extracts maximum short-form content from long-form writing.

CONTEXT: Source content: [PASTE_NEWSLETTER_OR_POST]. Target platform: [PLATFORM]. Creator voice: [VOICE]. Audience: [AUDIENCE].

TASK:
1. Extract the 5 most standalone, hook-worthy ideas from the source.
2. For each, write a 30-45 second video script: hook line, 3-5 spoken beats, and a CTA.
3. Add on-screen text cues and a B-roll/visual suggestion per script.
4. Write a native caption (with line breaks) and 5 relevant hashtags per piece.
5. Note which idea is strongest and should be posted first.

OUTPUT FORMAT: For each of the 5: TITLE / HOOK / SCRIPT BEATS / ON-SCREEN TEXT / B-ROLL / CAPTION / HASHTAGS. End with 'POST ORDER + RATIONALE'.

CONSTRAINTS: Stay faithful to the source's claims; do not fabricate stats. Each script must work without prior context. Avoid recycling the same hook structure across all five. Keep spoken lines conversational.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

Open in Studio How to prompt AI correctly

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