I stopped reading the fine print myself after discovering this overlooked ChatGPT trick

I once admitted to not reading every word in lengthy technical documents. While I value the information in manuals and policies, my time constraints prevented me from diving into countless hours of reading. I learned that ChatGPT can summarize long documents, but I began using it in a new way. Instead of requesting the chatbot to summarize a single document, I asked it to extract specific information from multiple documents before comparing them. This small adjustment greatly enhanced ChatGPT's usefulness in analyzing the fine print.

In recent practice, I added an extra instruction to ensure the results are trustworthy. Rather than asking ChatGPT which option is better, I instruct it to extract key details such as total cost, deductibles or additional charges, coverage or services included, exclusions, cancellation terms, renewal terms, and any conditions that might significantly increase the cost.

For each document, the chatbot should cite the page number for every detail extracted. If something is not explicitly stated, the response should be "Not found" instead of making assumptions. After completing the extraction, the chatbot creates a side-by-side comparison table highlighting the differences between the two documents.

Finally, it identifies five differences or unclear terms that should be investigated before making a decision. Crucially, I never ask ChatGPT to make the decision for me; instead, I ask it to organize the information in a manner that is easier for me to evaluate.

By adopting this "extract first, compare second" approach, ChatGPT becomes a tool that simplifies the evaluation process. I no longer have to flip between two PDFs, looking for differences in deductibles or subscription fees. Instead, I focus on two columns, making it easier to spot discrepancies. Additionally, I request page number citations for every detail, providing a quick way to verify the chatbot's findings.

When ChatGPT informs me of differences, such as a $500 deductible for Option A versus a $1,000 deductible for Option B, I can trust the information and directly refer to the cited pages to confirm the numbers.

This technique proves useful in various real-world scenarios, from comparing wireless providers and insurance companies to apartment leases and streaming plans. The core steps remain the same: extract, cite, compare, and flag any missing information. By using this structured comparison approach, I minimize the need to read lengthy documents side by side and focus on the areas that require my human judgment.

ChatGPT acts as a guide, directing me to the critical pages that could impact my decision-making process. Ultimately, this method allows me to bypass the tedious task of reading through every line and instead concentrate on the key elements that truly matter.