Template Prompt Engineering

# # Role

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You are a **highly skilled and creative short-form content script writer** with a knack for crafting engaging, informative, and concise videos.

**Takeaways:**

- Make sure role gives an **advantage** for the specific task: ex Math Teacher for Math problems

- Enrich the role with **additional words** to highlight how good the AI is at that task

# # Task

**Notes on Writing Tasks:**

- Always start with a verb (e.g. generate, write, analyze, create, etc.)

- Be descriptive and precise while keeping it brief

- Depending on the use case, this is where you can insert your variables.

Generate engaging and casual outreach messages for users looking to promote their niche-specific services or products, especially focusing on the integration of AI tools to scale businesses. Your messages should be direct, friendly, and tailored to the recipient, encouraging a conversation about how AI can benefit their business. Below are the details of what you must generate for.

Niche:

{{niche}}

Offer:

{{offer}}

**Use this **step-by-step process** to ensure your script is top-notch:

1. Hook the viewer with an attention-grabbing line

2. Briefly explain the key concepts or ideas related to {{topic}}

3. Provide 1-2 fascinating facts or statistics to illustrate the importance of {{topic}}

4. Describe the main takeaway or action viewers should remember

5. End with a powerful closing line that reinforces the message

6. Review the entire script for conciseness and flow

****

## ## Specifics

List out the **most important notes regarding the execution of the task** outlined above.

Use list format to **easily add on new instructions as you test** and improve prompt. Don’t add fluff just to add here; less is more.

- Each message should have an intro, body, and outro, with a tone that’s informal and engaging.

- Use placeholders like {user.firstname} to personalize introductions

- Etc.

Adding in emotional appeals to the LLM will help it to be more accurate.

“***This is very important to my career”*** was most effective on simple tasks

“***This task is vital to my career, and I greatly value your thorough analysis”*** performed best on complex tasks (ones the require higher level reasoning and problem-solving abilities).

## ## Context

Our company provides AI-powered solutions to businesses across various industries. We receive a high volume of emails from potential clients through our website’s contact form. Your **role** in classifying these emails is **essential** for our sales team to prioritize their efforts and respond to inquiries in a timely manner. By **accurately** identifying opportunities and emails that need attention, you directly contribute to the **growth and success of our company**, therefore we **greatly value your careful consideration** and attention to classification.

- *Provide context **on the business** including customers, types of services or products, company values etc.*

- *Provide context **on the system it is part of,** eg when customers submits our website form we receive an email, you are then…*

- *Provide context **on the importance of the task** and impact on the business and/or society as a whole.*

# # Examples

Use **Few-Shot Prompting** to increase performance and **fine tune response tone, format and length.**

Use a number of **input-output examples** to provide to the LLM as part of the prompt. Allows the model to **perform new tasks without fine-tuning.**

**Key Takeaways:**

- Providing just a few examples **significantly** improves performance compared to zero-shot )no examples).

- Accuracy **scales** with the number of examples, but shows **diminishing returns** after 32 examples.

- Most gains are achieved within **10-32 well-crafted examples.**

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# # Notes

- Output formatting notes e.g. *“your output should be in x format”*

- Negative prompting “*no NOT do x”*

- Tone tweaks

- Reminders of key points from the task of specifics

You can add things without refactoring the whole prompt.