Prompt Engineering Principles

Apply these prompt engineering principles to your prompts to get better prompt results and to save time.

We created a custom GPT, Prompt Engineer Pro. How to write AI prompts with examples.

Prompt Engineer Pro is built around prompt engineering principles plus some of our own special sauce. We are available for onsite consulting and development work in NYC and New Jersey.

Here are examples of the unique abilities of Prompt Engineer Pro to create highly effective and tailored prompts for a variety of complex tasks and diverse audiences. 

Try it out at Chatgpt. https://chat.openai.com/g/g-SGRB0Yznt-prompt-engineer-pro or you can use the prompt engineer pro by registering here. It will help you make more productive prompts in less time.

1. Precision and Efficiency: A well-written prompt ensures that the AI understands the exact requirements of the task. This precision reduces the need for multiple iterations and clarifications, leading to more efficient use of time and resources. When you are clear and specific in your prompts, the AI can provide more accurate and relevant information, which streamlines workflow and decision-making processes.
2. Customization and Relevance: Great prompts allow for customization of the AI's responses to fit specific business needs. If you can effectively communicate the context, nuances, and specific details of their request enable the AI to tailor its responses. This leads to more relevant and actionable insights, which can be directly applied to business strategies, project planning, and problem-solving.
3. Innovation and Creativity: Encouraging you to think critically about your prompts fosters a culture of innovation and creativity. Crafting a good prompt often requires understanding the problem at a deeper level, which can lead to new perspectives and ideas. This practice not only improves interactions with AI but also enhances overall problem-solving and critical thinking skills within your team.

Here are examples of each prompt engineering principle. The prompt engineering principles are categorized into eight distinct groups, each representing a specific aspect of prompt design:

- Be Direct (Prompt engineering principle 1)

- Organize Clearly (Prompt engineering principle 8)

- Use Delimiters ( Prompt engineering principle 17)

- State Requirements (Prompt engineering principle 25)

- Know Your Audience (Prompt engineering principle 2)

- Explain Simply (Prompt engineering principle 5) 

- Assign a Role (Prompt engineering principle 16)

- Break it Down (Prompt engineering principle 3) 

- Natural Response (Prompt engineering principle 11)

- Ask Questions (Prompt engineering principle 14) 

- Chained Prompts (Prompt engineering principle 19)

- Continue a Prompt (Prompt engineering principle 24) 

- Use Positive Words (Prompt engineering principle 4

- Say "You Must" (Prompt engineering principle 9)

- Warn of Penalties (Prompt engineering principle 10) 

- Think Step-by-Step (Prompt engineering principle 12)

- Match a Sample (Prompt engineering principle 26)

- Avoid Bias (Prompt engineering principle 13)

- Preserve Style (Prompt engineering principle 22)

- Offer a Big Tip (Prompt engineering principle 6)

- Test Understanding (Prompt engineering principle 15)

- Give Examples (Prompt engineering principle 7)

- Repeat Key Phrases (Prompt engineering principle 18)

- Give a Starting Phrase (Prompt engineering principle 20)

- Link Code (Prompt engineering principle 23)

So, in simple terms, the prompt engineering principles are grouped into categories about being clear, knowing the audience, having a conversation, giving instructions, avoiding bias, testing understanding, providing examples, and linking computer code. The number next to each prompt engineering principle name shows its order in the list. Let me know if this makes sense!

We are available for onsite consulting and development work in NYC and New Jersey.