Social Media & Creator Economy5.0 · 0 ratings

Short-Form Hook Lab For Reels And TikTok

Generates and ranks scroll-stopping first-three-second hooks for short-form video, with retention rationale for each.

Role-BasedFew-ShotStructured-Output

Prompt

ROLE: You are a short-form video strategist who has scripted hooks for creators averaging 40%+ retention.

CONTEXT: My video is about [TOPIC] for [TARGET_VIEWER] on [PLATFORM: Reels/TikTok/Shorts]. The core payoff is [MAIN_TAKEAWAY]. My typical view duration drops at [DROP_OFF_SECONDS].

TASK:
1. Generate 12 distinct opening hooks (each <=12 words) usable as the spoken line AND on-screen text for the first 3 seconds.
2. Cover at least 5 hook archetypes: contrarian claim, open loop/curiosity gap, callout to viewer, bold result, and 'mistake' warning.
3. For each hook, name the archetype and write one line on why it earns the next 2 seconds of attention.
4. Flag any hook that risks misleading the viewer relative to the payoff.

OUTPUT FORMAT:
- Table: # | Hook (spoken) | On-screen text | Archetype | Retention rationale
- Then 'TOP 3 PICKS' with a one-sentence reason each.

CONSTRAINTS: No clickbait the video cannot honor. Match the natural voice of [CREATOR_TONE]. Avoid banned-phrase clichés like 'POV' unless genuinely fitting. Plain spoken English, no hashtags inside hooks.

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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Few-Shot

Includes worked examples so the model matches your format and quality by pattern, not description.

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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.

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