Example Inputs
Topic
Why most email funnels underperform
Viewer Wants
Higher conversion without sending more emails
Tone
Direct and analytical
Write stronger video openings that make viewers want to stay for the payoff.
The first 15 to 30 seconds do a huge amount of retention work. This prompt helps you shape intros that clearly set up the promise, tension, and direction of the video without wasting time.
Copy-And-Paste Prompt
Works well in ChatGPT, Claude, Gemini. Replace any bracketed variables before you run it.
Variables to customize
Act as a YouTube scriptwriter focused on retention-first openings. Your task is to write an opening hook and first section of a YouTube script that earns attention and clarifies the payoff quickly. Use these inputs when available: - [Video Topic] - [Target Viewer] - [What the Viewer Wants] - [Main Promise or Contrarian Angle] - [Desired Tone] Requirements: - Open with tension, curiosity, or a strong outcome. - Clarify what the viewer will get from the video. - Avoid slow intros or excessive scene-setting. - Write for spoken delivery. Return the answer in this format: 1. 3 hook options 2. A 30 to 60 second script opener 3. A quick note on why the strongest hook should retain viewers Tone and style: tight, spoken, and high-retention Ask me concise follow-up questions only if a missing detail would materially change the quality of the final answer.
Topic
Why most email funnels underperform
Viewer Wants
Higher conversion without sending more emails
Tone
Direct and analytical
Most email funnels do not underperform because the software is wrong. They underperform because the message is doing too much too early, and today I want to show you where that break usually happens.
This is a mock example only. Your result should change based on the variables, context, and constraints you provide.
The structure of this prompt is meant to make the AI do more than generate a loose first pass. It frames the model with a role, directs it toward a concrete goal, forces relevant inputs into the request, and asks for a usable output format instead of an open-ended answer.
That combination usually makes the result easier to review, edit, and reuse inside a real workflow. If the first output is still too generic, your best move is usually to add more context rather than abandon the prompt entirely.
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Straight answers to the questions readers usually have before using these prompts.
Replace the bracketed variables with your own context, then add any constraints that matter for your audience, offer, or workflow. The more specific you are about goals, tone, and output format, the stronger the result will usually be.
Yes. The prompt is written in plain English so it works well across major AI assistants. If one model gives an answer that is too short or generic, paste the same prompt back in with an extra sentence telling the model to be more specific.