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6 Strategic ChatGPT Prompts: Writing sales policy frameworks

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6 Advanced ChatGPT Prompts: Developing sales automation workflows

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6 Proven ChatGPT Prompts: Creating commission tracking reports

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6 Strategic ChatGPT Prompts: Generating client management workflows

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6 Expert ChatGPT Prompts: Crafting prospecting strategy guides

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6 Advanced ChatGPT Prompts: Developing team performance tracking systems

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6 Proven ChatGPT Prompts: Creating sales call analytics dashboards

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6 Advanced ChatGPT Prompts: Generating sales technology audits

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6 Strategic ChatGPT Prompts: Developing custom sales playbooks

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6 Innovative ChatGPT Prompts: Writing sales script optimization reports

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6 Expert ChatGPT Prompts: Creating data-driven sales metrics

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6 Innovative ChatGPT Prompts: Crafting sales goal setting frameworks

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6 Strategic ChatGPT Prompts: Developing sales forecasting models

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6 Advanced ChatGPT Prompts: Conducting sales process audits

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6 Advanced ChatGPT Prompts: Developing sales training schedules

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6 Advanced ChatGPT Prompts: Generating onboarding checklists

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6 Innovative ChatGPT Prompts: Crafting sales contract templates

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6 Strategic ChatGPT Prompts: Creating sales compensation plans

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6 Advanced ChatGPT Prompts: Developing sales territory plans

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PlanGPT - Your Expert Planning Assistant

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What is “prompt engineering”?

A “prompt” is the input that guides a generative AI model to generate useful outputs. Generative AI tools like ChatGPT, GPT, DALL·E 2, Stable Diffusion, Midjourney, etc. all require prompting as their input.

In a natural language processing (NLP) context, “prompt engineering” is the process of discovering inputs that yield desirable or useful results. As is the story with any processes, better inputs yield better outputs; or commonly said another way “garbage in, garbage out.”

![Source: https://www.youtube.com/watch?v=1NQWJjgi-_k

Designing effective and efficient prompts will increase the likelihood of receiving a response that is both favorable and contextual. With a good prompt, you can spend less time editing content and more time generating it.

Going from beginner → advanced prompt engineer

As companies like PromptBase arise around the idea that the prompt is the “secret sauce” to using generative AI, prompt engineering could easily become the “career of the future.” But, any generative AI user can become an “advanced” prompt engineer. Here’s how

Spend time with the tools

The more time you spend asking ChatGPT questions and receiving responses, the better your idea will be of various prompting approaches and their individual strengths and weaknesses
Use Open AI’s GPT playground to perform interactive trial and error with variations in your prompt, model, temperature and top_p values (uniqueness of answer, i.e. creativity), and more available within the UI itself.

Become a prompt researcher instead of engineer

If you’re already a subject matter expert in something, consider figuring out how to apply your personal skills to generating the best prompts in your field
For example, if you’re an expert in SEO, what questions do you ask yourself when creating SEO strategies? How can you translate this knowledge into better prompts to generate the same level of output with AI?

Become a prompt researcher instead of engineer

The term prompt engineer glosses over the idea that prompt formulation takes hypothesizing, research, result measurement, and repetition. Instead, approach prompting like a research project.
Try as many different variations and formulations of your prompt as possible. One problem can have hundreds of solutions and one solution can have hundreds of approaches. The same can be said of prompting.