𝗔𝗜 𝗠𝗮𝗱𝗲 𝗘𝗭: 𝘐𝘵𝘦𝘳𝘢𝘵𝘪𝘯𝘨 𝘢 𝘉𝘶𝘴𝘪𝘯𝘦𝘴𝘴 𝘚𝘵𝘳𝘢𝘵𝘦𝘨𝘺 𝘸𝘪𝘵𝘩 𝘔𝘢𝘳𝘬𝘦𝘵 𝘙𝘦𝘴𝘦𝘢𝘳𝘤𝘩

(2 minute read)

📖 𝗗𝗿𝗼𝘄𝗻𝗶𝗻𝗴 𝗶𝗻 𝗿𝗲𝗮𝗱𝗶𝗻𝗴 𝗷𝘂𝘀𝘁 𝘁𝗼 𝘀𝘁𝗮𝘆 𝗰𝘂𝗿𝗿𝗲𝗻𝘁? 𝗬𝗼𝘂’𝗿𝗲 𝗻𝗼𝘁 𝗮𝗹𝗼𝗻𝗲

Have you used a Large Language Model (LLM) like ChatGPT to summarize an article, research report or white paper? If no, please try it! You will be amazed.

There are variations of that basic LLM technique. Here are examples that involve creating a business strategy that you can modify to your need.

💡𝗜𝗺𝗽𝗼𝗿𝘁𝗶𝗻𝗴 𝗮 𝗠𝗮𝗿𝗸𝗲𝘁 𝗛𝘆𝗽𝗼𝘁𝗵𝗲𝘀𝗶𝘀 𝗮𝘀 𝗮 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗣𝗿𝗼𝗺𝗽𝘁

When I first pondered a new start-up, I started an LLM chat with my preliminary statement about a large market opportunity. Over several months, I did a ton of internet research. (This was before the release of GPT’s Deep Research feature.) I downloaded and imported nearly 75 articles, white papers or research reports. I used a prompt that essentially said “Read this imported doc and summarize it for me. Provide me with a list of key points that confirm or refute my hypothesis.” I literally saved hours of reading and gained tremendous insights quickly.

🔎𝗙𝗶𝗻𝗱𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 R𝗲𝗹𝗮𝘁𝗲𝗱 𝘁𝗼 𝗮 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗖𝗵𝗮𝗻𝗴𝗲

Two recent insights caused us to pivot our strategy. Before I embarked on any new efforts, I invoked the web search function with ChatGPT. I summarized the insights in a new chat with a prompt: "Given these new concepts and your knowledge of my strategy, find at least fifteen articles, white papers or reports from the past six months that provide key related market research." I imported a PDF or a URL from each and had ChatGPT identify the Pros and Cons that relate to the insights.

🈴𝗡𝗼𝘄, 𝗦𝘆𝗻𝘁𝗵𝗲𝘀𝗶𝘇𝗲 𝘁𝗵𝗲 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗙𝗶𝗻𝗱𝗶𝗻𝗴𝘀

I noticed some similarities within the research, as regards changes in the market over the last six months. “Group the most common themes in the articles, Pro or Con, and summarize them for me in Rank order by most common.” Interestingly, I had seen a common theme highly correlated to one breakthrough. The common theme strongly confirmed a significant market need that gave further proof of our new direction in an unexpected way.

⌚𝗧𝗶𝗺𝗲 𝗦𝗮𝘃𝗲𝗱 / 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗚𝗮𝗶𝗻𝗲𝗱 📈

GPT estimated approximately two-and-one-half hours to read those recent articles and a half-day to annotate and synthesize them. The chat time was less than thirty minutes. My brain could have synthesized the common findings, but GPT does that in seconds.

Using LLMs to summarize articles is a great benefit. Summarizing articles as they relate to something, like a paragraph summary of a business strategy is like having a talented market analyst at your side.

Try these techniques within your own projects. I cannot imagine going back to research work before LLMs.