Why Context Beats Model Decisions

In this session, Jonathan and I explore why the frequent question "Which model should I use?" is actually the wrong place to start. Whether you are utilising ChatGPT, Claude, or Co-pilot, the underlying engine is only as good as the context it is provided. We discuss the psychological trap of "Model FOMO" and why business leaders should focus on developing "Prompting and Clear Thinking" as a core executive skill for the coming years.We re-share our company context document to help you become more successful with LLMs. We break down actionable strategies to improve your AI interactions immediately. This includes the "GCSE" framework (Goal, Context, Sources, Expectations) and the "Interview" technique, where you allow the AI to extract the necessary information from you rather than trying to write the perfect prompt from scratch. We also touch upon the efficiency of creating permanent context documents, such as PDFs describing your brand or ICP, to ensure consistency across all AI-generated work. The goal is to move from treating AI as a search engine to managing it like a highly capable team member.