Photo by Google DeepMind on Unsplash lots of balls in a repesating pattern

As someone with a background in technology, I eagerly delved into the world of Generative AI—a new-ish branch of artificial intelligence that utilizes machine learning and vast datasets to learn patterns and generate new content in response to user queries, prompts, and questions–as these new tools came on the market. 

While there are a multitude of Generative AI tools available, my primary focus has been on three key players: Chat-GPT by OpenAI, Claude by Anthropic, and Bard by Google.  Although there’s a fourth well-known player, BING, I have yet to explore it, and there are other options worth investigating.

This post is part of a series aimed at assisting non-profit managers in leveraging Generative AI effectively.  I aim to provide real-world case studies and models for us to explore together.

While many non-profit managers are concerned about the ethical implications and potential biases associated with using AI in their work, my emphasis here is practical.

Leveraging Generative AI as an Editing Tool

During my efforts to launch my consulting practice, I utilized both Chat-GPT and Claude to enhance the announcements I intended to share on LinkedIn. I started with a rough draft and then enlisted Chat-GPT’s assistance to revise it. Specific areas of focus included the technical aspects: tone, readability, vocabulary, sentence structure, transitions, and crafting a compelling call to action.

In my initial draft, I conveyed to Chat-GPT that I desired a slightly informal tone while maintaining a concise, authoritative, and friendly demeanor. The initial version was acceptable, but I requested Chat-GPT to refine sentence structures for brevity and directness, resulting in a more effective rewrite.

Subsequently, I asked ChatGPT to generate a version of the post that emphasized its benefits to the reader, adopting a tone similar to the following example (while not using the exact words): “I established my business to provide leaders like you access to top fundraising expertise without expanding your workforce, all at a cost lower than hiring a full-time junior fundraiser.” 

Within seconds, Chat-GPT produced a snappy rewrite, precisely as requested.

For my final iteration, I combined the two versions, and rewrote the draft,  incorporating a few reader-centric sentences into the conclusion, but using the structure of what was generated.

How did I make this work? It’s all about prompt engineering, or how you ask

Some refer to the skills required to transform AI-generated content into something useful as “prompt engineering.” This involves mastering the art of selecting words, instructions, and data to prompt AI for optimal output. In my experience, achieving desired results often necessitated multiple prompts and substantial editing. 

However, the speed at which AI can synthesize and respond makes it worthwhile.

To get started using Generative AI, experiment with  writing or pasting your work in a browser window for your Generative AI tool and then invoke prompts like these:

  • Content Refinement Prompt
    • Request: “Please review and refine this content for clarity, conciseness, and persuasive language. Ensure that it effectively communicates our mission and goals as a non-profit organization.”
  • Audience-Centric Rewrite Prompt
    • Request: “Craft this piece with the voice and perspective of our target audience in mind, highlighting the benefits they’ll gain from our services. Create a compelling message that resonates with potential donors and volunteers.”
  • Message Personalization Prompt
    • Request: “Personalize this outreach post to sound relatable and individualized. Incorporate details we know about the audience’s interests and background to craft a message that resonates with them personally.”
  • Call to Action Improvement Prompt
    • Request: “Enhance the call to action in our fundraising campaign message. Craft a compelling closing statement that motivates readers to donate, volunteer, or engage with our cause.”

Generative AI tools excel at analyzing large volumes of information and predicting probable responses, making them invaluable for editing pre-existing content, such as marketing messages. 

The key lies in striking a balance between human strategic thinking and AI’s synthetic capabilities. ‘

Continuously refine your prompts, review the outputs, and edit to maintain your organization’s authentic voice. With practice, you’ll harness this new resource effectively.

If you’re eager to explore the transformative potential of Generative AI in your non-profit practice or need assistance in implementing these strategies, feel free to contact me. I can offer some coaching to help you navigate the world of AI-powered content enhancement and achieve your goals.  I am so into this right now that I literally dream about it.

 

Photo by Google DeepMind on Unsplash

This post is part of a series called PROMPTS THAT WORK: Getting Started With AI. 

Other posts include:

As someone with a background in technology, I eagerly delved into the world of Generative AI—a new-ish branch of artificial intelligence that utilizes machine learning and vast datasets to learn patterns and generate new content in response to user queries, prompts, and questions–as these new tools came on the market. 

While there are a multitude of Generative AI tools available, my primary focus has been on three key players: Chat-GPT by OpenAI, Claude by Anthropic, and Bard by Google.  Although there’s a fourth well-known player, BING, I have yet to explore it, and there are other options worth investigating.

This post is part of a series aimed at assisting non-profit managers in leveraging Generative AI effectively.  I aim to provide real-world case studies and models for us to explore together.

While many non-profit managers are concerned about the ethical implications and potential biases associated with using AI in their work, my emphasis here is practical.

Leveraging Generative AI as an Editing Tool

During my efforts to launch my consulting practice, I utilized both Chat-GPT and Claude to enhance the announcements I intended to share on LinkedIn. I started with a rough draft and then enlisted Chat-GPT’s assistance to revise it. Specific areas of focus included the technical aspects: tone, readability, vocabulary, sentence structure, transitions, and crafting a compelling call to action.

In my initial draft, I conveyed to Chat-GPT that I desired a slightly informal tone while maintaining a concise, authoritative, and friendly demeanor. The initial version was acceptable, but I requested Chat-GPT to refine sentence structures for brevity and directness, resulting in a more effective rewrite.

Subsequently, I asked ChatGPT to generate a version of the post that emphasized its benefits to the reader, adopting a tone similar to the following example (while not using the exact words): “I established my business to provide leaders like you access to top fundraising expertise without expanding your workforce, all at a cost lower than hiring a full-time junior fundraiser.” 

Within seconds, Chat-GPT produced a snappy rewrite, precisely as requested.

For my final iteration, I combined the two versions, and rewrote the draft,  incorporating a few reader-centric sentences into the conclusion, but using the structure of what was generated.

How did I make this work? It’s all about prompt engineering, or how you ask

Some refer to the skills required to transform AI-generated content into something useful as “prompt engineering.” This involves mastering the art of selecting words, instructions, and data to prompt AI for optimal output. In my experience, achieving desired results often necessitated multiple prompts and substantial editing. 

However, the speed at which AI can synthesize and respond makes it worthwhile.

To get started using Generative AI, experiment with  writing or pasting your work in a browser window for your Generative AI tool and then invoke prompts like these:

  • Content Refinement Prompt
    • Request: “Please review and refine this content for clarity, conciseness, and persuasive language. Ensure that it effectively communicates our mission and goals as a non-profit organization.”
  • Audience-Centric Rewrite Prompt
    • Request: “Craft this piece with the voice and perspective of our target audience in mind, highlighting the benefits they’ll gain from our services. Create a compelling message that resonates with potential donors and volunteers.”
  • Message Personalization Prompt
    • Request: “Personalize this outreach post to sound relatable and individualized. Incorporate details we know about the audience’s interests and background to craft a message that resonates with them personally.”
  • Call to Action Improvement Prompt
    • Request: “Enhance the call to action in our fundraising campaign message. Craft a compelling closing statement that motivates readers to donate, volunteer, or engage with our cause.”

Generative AI tools excel at analyzing large volumes of information and predicting probable responses, making them invaluable for editing pre-existing content, such as marketing messages. 

The key lies in striking a balance between human strategic thinking and AI’s synthetic capabilities. ‘

Continuously refine your prompts, review the outputs, and edit to maintain your organization’s authentic voice. With practice, you’ll harness this new resource effectively.

If you’re eager to explore the transformative potential of Generative AI in your non-profit practice or need assistance in implementing these strategies, feel free to contact me. I can offer some coaching to help you navigate the world of AI-powered content enhancement and achieve your goals.  I am so into this right now that I literally dream about it.

 

Photo by Google DeepMind on Unsplash

This post is part of a series called PROMPTS THAT WORK: Getting Started With AI. 

Other posts include: