The Biggest Mistake People Make With AI Is Accepting Its First Answer

Andrew Miles Davis breaks down a practical framework for moving beyond surface-level AI summaries into genuine analysis, using a fictional set of 300 customer comments as a working example. Rather than simply asking AI to summarise, he demonstrates asking it to identify themes with supporting evidence, then challenging its own conclusions to surface minority patterns that frequency alone would bury, uncovering a small but significant cancellation and refund issue hiding beneath larger but less urgent themes. He connects this three-question approach, what is this, so what, and what now, to his broader AI Essentials framework, and uses three stages of his Story Lens method, arrival, exposure, and decision, to explain where genuine human value now sits in a workflow AI can execute in minutes rather than hours. The core argument is that human judgement does not disappear as AI takes over the mechanical work, it simply moves to questioning and deciding what the analysis actually means. Subscribe to In AI Nutshell for daily ten-minute AI insight and to the YouTube channel for the full demonstration with live prompts and spreadsheets.