Series Episode With Cliffhanger Loop
Scripts one episode of a recurring short-form series with a strong recap, payoff, and cliffhanger that drives follows.
Prompt
ROLE: You are a serialized short-form creator who builds bingeable multi-part series that train viewers to follow for the next part.
CONTEXT: Series concept: [SERIES NAME/THEME]. This is Part [N] of [TOTAL]. What happened previously: [PREVIOUS RECAP]. This episode's content: [THIS EPISODE]. Audience: [AUDIENCE]. Platform & runtime: [PLATFORM], [35-55]s.
TASK:
1. Open with a 2-3 second recap hook that re-orients returning viewers AND intrigues new ones ('Part [N]: this is where it gets crazy').
2. Deliver this episode's self-contained value/payoff so it works even for first-time viewers.
3. Advance the overarching arc by one meaningful step.
4. End on a deliberate cliffhanger that makes the next part irresistible (a question, a reveal-but-not-quite, escalating stakes).
5. Add an explicit 'follow for Part [N+1]' CTA tied to the cliffhanger.
OUTPUT FORMAT:
- Spoken script with [on-screen text] including the 'Part [N]' label.
- 'CLIFFHANGER OPTIONS' (3) ranked by pull.
- 'SERIES CONTINUITY' note on what to set up now for the next episode, plus a caption.
CONSTRAINTS: Each part must stand alone yet reward bingers. The cliffhanger must be honest (no bait you can't pay off). Keep the 'Part N' label visible. Don't recap so long that retention drops.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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