A few days back, while penning down an article draft and simultaneously brainstorming marketing strategies for my product, an epiphany struck. I recalled absorbing invaluable insights from iconic marketing books like "Made to Stick" and "Contagious" years ago. The question popped into my mind: could I leverage AI to directly implement the wisdom from these books into my writing?
I decided to experiment with ChatGPT. Prompting it with, "Please use the techniques in 'Made to Stick' and 'Contagious' to write the article for me. Here's my draft. And please explain how you use the techniques in the article," I waited. To my astonishment, ChatGPT didn't just refine my draft—it transformed it, mirroring techniques akin to examples straight out of the books! Even more impressively, it provided a thorough breakdown of the methodology applied.
This experience made me contemplate: could we extend this methodology to other areas? For instance, requesting the AI to apply concepts from "Hooked" to refine a new product design. Based on my experience, it seems probable.
Yet, while the results were compelling, I gleaned a few essentials that could further optimize this approach:
1. Prior Knowledge is Key: Firstly, some foundational understanding of the referenced material is crucial. Having pored over "Made to Stick" and "Contagious" several times, I was better positioned to assess the quality of ChatGPT's output. Without this background, distinguishing top-tier results becomes challenging.
2. Detailed Inputs Matter: The richness of the AI's output often mirrors the depth of the input. To harness refined results, especially in writing tasks, it's vital to offer a comprehensive draft to the AI. The more context and specificity you provide, the more tailored the response.
3. Task-Relevant Knowledge: While it's important to know the technique or theory you're asking the AI to use, it's equally crucial to understand the subject at hand. For instance, if the topic revolves around AI utilization and programming, a foundational grasp ensures you can appraise the final content quality with discernment.
In essence, integrating established knowledge into daily AI operations using this approach can be revolutionary. It offers a quick, effective avenue to infuse expertise into various tasks, taking advantage of both AI's capabilities and human intelligence. My exploration has been limited to a few domains, but the potential is vast. If you stumble upon a novel application or have an intriguing experience with this method, I'm all ears. Your discoveries could lead us to the next groundbreaking AI application!
