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Prompt

YouTube Script Prompt (Retention-Optimized)

Generate a hook-driven script tied to retention beats.

1 min read

/ quick answer

Use as the core step of the YouTube script automation pipeline once a hook is chosen. Generate a hook-driven script tied to retention beats.

Generate a hook-driven script tied to retention beats. Use as the core step of the YouTube script automation pipeline once a hook is chosen. Copy the prompt below, swap the bracketed variables for your own context, and run it in any capable model. This prompt node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Context
Use as the core step of the YouTube script automation pipeline once a hook is chosen.
Prompt
You are a top YouTube scriptwriter. Write a {{length_minutes}}-minute script on:

Topic: {{topic}}
Chosen hook: {{hook}}
Audience: {{audience}}

Structure:
1. Hook (0–15s): cold-open, no logo, no intro.
2. Promise (15–30s): what they'll get + why they should stay.
3. Body: {{beat_count}} beats, each with a mini-cliffhanger to the next.
4. CTA: tied to the topic, not generic "like and subscribe".

For each beat, include: [B-ROLL: ...] cues.
Example Output
[0:00] "Most AI agents fail before they make a single API call."
[0:12] In the next 6 minutes I'll show you the 3 reasons — and the fix used by every working agent stack.
[B-ROLL: terminal with failed agent loop]
...
Related Workflow
Related Tool Stacks
/ frequently asked

What does the YouTube Script Prompt (Retention-Optimized) prompt do?

Use as the core step of the YouTube script automation pipeline once a hook is chosen.

Which AI models work with this prompt?

It is model-agnostic: it works with any capable general model. Replace the bracketed variables with your own context before running it.

What output should I expect?

[0:00] "Most AI agents fail before they make a single API call." [0:12] In the next 6 minutes I'll show you the 3 reasons — and the fix used by every working agent stack. [B-ROLL: terminal with failed agent loop] ...

↳ connected nodes
Workflow↳ linked
YouTube Script Automation Pipeline
Turn a video idea into a structured, hook-driven script.
Tool Stack↳ linked
Solo Content Creator Stack
End-to-end AI stack for one operator running a multi-channel content engine.
Dictionary↳ linked
Prompt Chaining
Pipelining LLM calls where each step's output feeds the next.
Dictionary↳ linked
LLM Orchestration
Coordinating multiple model calls, tools, and data sources into one reliable system.
Dictionary↳ linked
AI Content Pipeline
An end-to-end system that takes a topic and outputs publish-ready content.
Workflow↳ linked
AI Content Factory: One Topic to Ten Assets
Convert a single topic into a full multi-channel content drop.
Workflow↳ linked
How to Build an AI Content System
A repeatable pipeline that turns one input into publish-ready content across every channel.