Introduction:
I recently embarked on an exciting journey of exploring the capabilities of OpenAI’s Completion API, specifically using the text-davinci-003 model. Intrigued by the possibilities, I was determined to generate unique and innovative software application ideas within a specific industry domain. My experimentation led me to some interesting discoveries, and I want to share my experience with you.
Demo Page: Before we dive into the details, I invite you to visit my demo page at https://adico.tech/entrepreneur/ to see the results for yourself.
The Quest for Randomness:
Initially, I began with a straightforward prompt: “generate a unique and innovative software application in the industry domain.” While the API provided random responses, I encountered a common issue—repetition. The same ideas kept resurfacing, albeit with different names. It was clear that merely giving names to similar concepts didn’t yield the impressive variety I was seeking.
Exploring Different Approaches: To break free from this repetition, I experimented with various strategies. I tried emphasizing words like “random” and “be creative,” but the results were futile. It became evident that the AI, at its current stage, is akin to a sophisticated typewriter. Asking it to be truly random was like picking tokens from a list. Although the AI maintained mathematical relationships between ideas, the desired randomness in different contexts remained elusive.
A New Direction: Undeterred, I decided to refine my approach. I directed the API to consider known problems within the user-defined category first. Then, I created matrices that encompassed categories, sub-categories, and niches. By prompting the AI to randomly select from these matrices, I aimed to solidify a unique idea.
Partial Success: After several iterations, I managed to devise a more sophisticated prompt that compelled the API to respond differently. While I only partially achieved my desired prompt output, I successfully created a more authentic sense of randomness.
An Example of Random Prompt: Here’s an example of the refined prompt I used:
“Randomly select from a multi-level categorization for software applications products focused on the industry domain mentioned in triple backticks “`${category}“` and generate a unique and innovative software application ideas based on your selection.”
Conclusion: My journey with the OpenAI Completion API was both enlightening and challenging. While I discovered that true randomness is currently beyond the AI’s capabilities, I also realized the importance of refining prompts to achieve more diverse results. Despite the limitations, I believe the potential for generating innovative ideas using AI is vast, and I look forward to further exploration and advancements in this exciting field.
Remember to check out my demo page at https://adico.tech/entrepreneur/ to witness the outcomes firsthand. Happy exploring!