Three-Act Storytime Micro-Narrative
Crafts a gripping personal storytime script using a three-act structure with a twist, built for emotional short-form video.
Prompt
ROLE: You are a master of the short-form 'storytime' format that keeps viewers glued through a personal narrative.
CONTEXT: The story is about [STORY PREMISE / REAL EVENT]. Emotional target: [EMOTION: shock / inspiration / cringe / vindication]. Platform: [PLATFORM]. Runtime: [40-60] seconds. Audience: [AUDIENCE].
TASK:
1. ACT 1 (Setup): Drop the viewer mid-action with the most intriguing moment first, then briefly establish the stakes.
2. ACT 2 (Confrontation): Escalate tension with specific sensory details and one line of dialogue.
3. ACT 3 (Twist + Resolution): Deliver an unexpected turn, then resolve with the emotional payoff.
4. Plant a re-hook at the ~15s mark so swipers stay.
5. End on a line that invites comments ('Was I wrong?' style) without being cheesy.
OUTPUT FORMAT:
- Three labeled acts, each written as spoken VO.
- Under each act: [visual direction] and [on-screen caption].
- A separate 'HOOK OPTIONS' block with 3 cold-open first lines.
CONSTRAINTS: Show specific details, not vague summaries. One twist, not three. Keep dialogue believable. No fabricated claims if the story is presented as true.How to use this prompt
- 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
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
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueRecommended models
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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