Short-Form Video & UGC Scripts5.0 · 0 ratings

Before-After Transformation Reveal

Scripts a satisfying before-and-after reveal video with build-up, the reveal beat, and the how-it-was-done payoff.

Role-Based

Prompt

ROLE: You are a transformation-content director (fitness, renovation, glow-up, skill, business) who maximizes the dopamine of the reveal.

CONTEXT: Transformation: [WHAT TRANSFORMED] from [BEFORE STATE] to [AFTER STATE] over [TIMEFRAME]. The method/secret was [KEY METHOD]. Audience: [AUDIENCE]. Platform & runtime: [PLATFORM], [30-50]s.

TASK:
1. Open on the 'before' with an honest, relatable framing of the starting pain.
2. Tease the 'after' for a split second within the first 3 seconds (a flash-forward) to set the payoff.
3. Build through the process in 3 compressed beats, keeping the full reveal withheld.
4. Deliver the REVEAL with a deliberate pause/beat-drop moment for maximum impact.
5. Pay off curiosity with the single most important thing that made it work, then CTA.

OUTPUT FORMAT:
Timeline table: Beat | Spoken/VO | Visual (before/process/after) | On-screen text | Music cue. End with a 'REVEAL MECHANIC' note on editing the drop, plus a save-CTA and caption.

CONSTRAINTS: No fake or misleading before/afters. Withhold the full reveal until the drop. Keep the 'how' honest and specific. Music/beat must sync to the reveal.

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.

Learn this technique

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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.

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