Episode Details

The provided article introduces "The Context & Critique Rule™", a framework designed to enhance interactions with artificial intelligence (AI) and improve human cognitive abilities. It argues that the common approach of treating AI as a simple search engine leads to the AI Productivity Paradox, where the promise of revolutionary efficiency is met with mediocre results. To counter this, the rule outlines two core principles: "Always Provide Detailed Context" (Yang), which involves guiding the AI with specific instructions using methods like C-O-P-T-A (Context, Objective, Persona, Tone, Audience), and "Never Auto-Accept the Response" (Yin), which stresses the importance of human scrutiny through a V-I-S-A check (Verify, Improve, Strategise, Authenticate). This balanced dialogue, the author contends, not only leads to superior AI outputs but also acts as a "cognitive whetstone", sharpening the user's own strategic thinking and clarity. Read the article.

About the Author - Greg Twemlow writes and teaches at the intersection of technology, education, and human judgment. He works with educators and businesses to make AI explainable and assessable in classrooms and boardrooms — to ensure AI users show their process and own their decisions. His cognition protocol, the Context & Critique Rule™, is built on a three-step process: Evidence → Cognition → Discernment — a bridge from what’s scattered to what’s chosen. Context & Critique → Accountable AI™. © 2025 Greg Twemlow. “Context & Critique → Accountable AI” and “Context & Critique Rule” are unregistered trademarks (™).