8 Tricks To Get Better Results From AI (Proven)

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Artificial intelligence has become an invaluable tool for completing complex tasks and generating high-quality content. However, effectively utilizing AI requires an understanding of how to structure prompts and requests to get the best results. This newsletter will explore eight simple techniques to dramatically improve the quality of output from your AI workflows. From role-playing personas to specifying reading levels, these tips will help you elicit more detailed, coherent responses tailored to your exact needs. Let's dive in!

1. Ask the AI Model to Role-Play a Persona

Using this technique in your workflow encourages the model to provide better descriptions of complex topics by reflecting the persona’s knowledge and experience.

Prompt:
“Imagine you are a copywriter with 20 years of experience. Please write a 500-word blog post about macroeconomics.”

How to Use It:

• Define the persona with details like name, occupation, background, personality, and skill set.

• Set the context in which the role-play will take place.

• Ask questions that encourage the AI model to respond as the character.

• Maintain the persona throughout the conversation by continuing to address the AI model as that person.

2. Describe the Persona’s Manner

Including this after defining the persona helps ensure a specific tone or personality in your output.

Prompt:
“Your manner is professional, supportive, and helpful. You are also known for being kind and concise.”

3. Use Questioning Words

The words who(m), what, when, where, and why guide the AI model in a certain direction and elicit more specific, detailed, and useful responses.

How to Use It:

• Use "Who(m)" for questions about people or groups.

• Use "What" for objects, concepts, or events.

• Use "When" for time or chronology.

• Use "Where" for locations or places.

• Use "Why" for reasons, motivations, or causes.

• Combine them for longer content and additional specifics.

• Use open-ended questions to encourage more detailed answers.

4. Ask For Output at a Specific Reading Level

This makes your content accessible to a wider audience, helping more people avoid struggling with complex vocabulary, jargon, or sentence structure.

Prompt:
“Please rewrite that answer at a 9th-grade reading level.”

5. Request a Step-By-Step Response

This tells the AI model that you're looking for a sequential, ordered list of steps.

Prompt:
“Please provide a step-by-step guide on how to change a flat tire for a 2020 Ford Fusion.”

How to Use It:

• Use numbers or bullets to emphasize the requested format of your response.

• Include any specific requirements for the response.

6. Avoid Jargon and Acronyms

Improving clarity, accessibility, and engagement can be achieved by avoiding jargon and acronyms unless your audience is familiar with them. Add explanations or definitions if necessary.

7. Use Exclusions

If there are certain terms you don’t want included in the output, use “--no [excluded words or phrases]” to guide the AI model.

Prompt:
“Please write a summary of the event --no jargon --no acronyms.”

8. Progress and Iterate

If your workflow’s output isn’t exactly what you wanted on the first attempt, clarify what you’re looking for. Use as much detail in your prompt as possible with straightforward language. Treat it like a conversation with a new employee or intern. Try new things, test, tweak, and redeploy.

Closing Note

By implementing these techniques, you can dramatically improve the quality and relevance of the content generated by your AI workflows. Use these strategies to tailor your prompts, making your AI tools work smarter and more effectively for you.

Let me know if this works for you and if it improves your output!

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