Quoria AI Agent© Captures Latent or Unarticulated Needs

Greg Twemlow's article on Medium explores the potential for agentic AI to understand and fulfill people's latent needs, even those people aren't aware of. Twemlow argues that traditional AI, which simply responds to commands, will be surpassed by agentic AI, which will anticipate needs and generate solutions based on context. He uses Clayton Christensen's "Jobs to Be Done" theory as a framework for understanding how people "hire" products and services to solve specific problems. Twemlow then proposes Quoria AI Agent©, a system designed to proactively identify and address unarticulated needs by creating contexts that reveal latent desires, much like a friend who knows when to recommend a good book. Read the article on Medium.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 (™).