From Novice to Pro: My Eye-Opening Journey in Crafting AI-Driven Logic Trees

Hey everyone! I recently embarked on an adventure: learning the art of AI prompt engineering to create a logic tree that would be used in a product solution finder for a financial services client with 23 diverse products across six categories. Along the way, I discovered the immense potential of combining human intuition and AI's capabilities, which has changed my perspective on problem-solving forever.

?? The Intimidating Beginning

When I first dived in, I was greeted with ChatG{PT's empty text box and a whirlwind of uncertainty. With no clear structure or guidance, I had to rely on trial and error to develop the right instructions. Little did I know that this challenging experience would soon unlock a powerful new skillset, enabling me to tackle increasingly complex tasks with ease.

?? Crafting the Master Brief

A comprehensive brief was the cornerstone of our success with ChatGPT. Here's a breakdown of the essential elements I included:

• Context: I gave ChatGPT a clear understanding of the client's industry, target audience, and the purpose behind the solution finder. This set the stage for creating a tailored and effective product logic tree.
• Quiz Format: I specified the desired structure of questions and answers, ensuring a user-friendly experience that would make the process of finding the right product enjoyable and efficient.
• Answer Labels: To help users navigate the logic tree seamlessly, I made sure to use clear and concise answer labels. These would act as signposts, guiding users towards the perfect product.
• Product Inclusion: I stressed the importance of representing all products accurately and without alterations. This would ensure that users received relevant and trustworthy recommendations.
• Example Quiz: I included a sample quiz to demonstrate the desired format and structure. This helped ChatGPT visualize the final product and better understand my expectations.

?? Gathering the Pieces of the Puzzle

As ChatGPT didn't have browser API integration, I manually gathered product information from the client's website. I broke down the data into manageable chunks and reminded ChatGPT to wait for all the details before proceeding.

?? Fine-Tuning the AI Magic

With the data in place, ChatGPT got to work, generating the logic for our solution finder. As I reviewed the output, I realised my crucial role in the human-AI partnership: to assess and refine the content. I tracked down missing products and reconnected orphaned questions, ensuring a smooth user experience.

?? Reaping the Benefits of ChatGPT

The true value of using ChatGPT lies in its ability to process and analyze vast amounts of information at lightning speed, identifying patterns and organising data in a way that surpasses human capabilities. With my newfound skills, tasks that once took me a full day to complete can now be accomplished in under two hours.

?? Client's Delight: The Ultimate Reward

One of the highlights of my journey was presenting the finished logic tree to the client. Their delight in the thoughtful and meticulous design was a testament to the power of the human-AI partnership. This unforgettable moment further solidified my passion for AI prompt engineering.

?? Need a hand?

If you're curious about AI prompt engineering or interested in creating your own solution finder, please reach out for advice or guidance. I'm more than happy to share my experience, answer any questions, and provide insights to help you on your journey. Let's learn and grow together in this fascinating world of AI and human collaboration!

#AI #ChatGPT #PromptEngineering #HumanAIPart