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Most prompts are designed to elicit a single response from an AI assistant. However, prompts can also be structured in distinct sections to guide multi-stage generative sequences. In this post, I’ll explore how dividing prompts into introduction, body, and conclusion sections enables powerful multi-paragraph outputs.
As an AI writing consultant, I leverage prompt sections to have assistants produce long-form content with structured narratives. Let’s break down this advanced technique.
First, why go beyond single-response prompts? Some key benefits of multi-stage generation include:
Prompt sections powerfully expand the horizons of AI content capabilities.
The core framework involves dividing the prompt into:
For example:
*Introduction: Briefly introduce the topic of AI assistants and why they are important in society today.
Body: Provide an overview of current capabilities of AI assistants in three paragraphs. Cover use cases and limitations.
Conclusion: Summarize your key points and discuss the future outlook for AI assistant adoption.*
This structures guides the AI through staged content generation.
Many variations on multi-section prompts are possible:
Segment prompts to suit your specific needs.
Here are some handy prompt section templates to adapt:
Intro: Introduce the topic and goals of this article in 2-3 sentences.
Body: Provide an overview of the topic in 3 paragraphs covering key points. Include relevant facts, data, examples and opinions from experts.
Conclusion: Wrap up with a 1 paragraph conclusion highlighting your main conclusions. Recap the importance of this topic.
Setup: Describe the main character and setting in a few concise sentences.
Plot: Tell a short 3 paragraph story about the character encountering a challenge. Build up narrative tension and drama.
Resolution: Conclude the story with a 1 paragraph resolution revealing how the conflict gets resolved.
Introduction: State your central thesis in 1 sentence.
Arguments: Construct 3 paragraphs making your arguments and providing evidence. Reference experts and examples that back up your position.
Conclusion: Wrap up with a 1 paragraph conclusion reiterating your central thesis and arguments.
When generating multi-section content using these templates, you can either:
The second interactive approach allows dynamically adjusting later sections based on the AI’s initial responses.
Why go section-by-section? Some benefits:
The interactive approach keeps your AI producer aligned.
However, also weigh drawbacks like:
Balance tradeoffs based on use case needs.
Often the best solution is a hybrid approach:
This gives the AI overall direction while allowing for nuanced course correction.
Whatever your exact approach, dividing prompts into distinct sections unlocks powerful new capabilities for long-form, coherent AI content generation. With practice, you can make multi-paragraph outputs feel dynamic and conversational.
I hope these tips provide a solid starting point for leveling up your prompting skills. Please reach out if you need any help implementing multi-section prompts for your particular use case and AI assistant. The future is conversational!
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