EPISODE · Aug 7, 2025 · 8 MIN
Why Defining Problems, Not Browsing AI Agents, Is the Future of AI
from Evidence → Cognition → Discernment™️ - Your Pathway to AI Leadership · host Greg Twemlow
Greg Twemlow's article "Playbooks, Not Platforms: Why AI Agent App Stores are a Disaster" argues against the prevailing trend of developing AI agent marketplaces, which he believes replicate the disorganisation of traditional app stores. Twemlow asserts that these marketplaces burden users with decision-making and selection, rather than simplifying tasks. He proposes an alternative, the FifthSense Problem Definition Architect Playbook, which focuses on defining problems and desired outcomes upfront. This system then orchestrates and self-selects the most suitable AI agents and Large Language Models (LLMs) to achieve those objectives, eliminating the need for human browsing and guesswork. The article also introduces AI Agent Capability Profiles and the Functional Agent Ontology (FAO) Protocol as crucial infrastructure for this new paradigm, allowing machines to understand and select agents based on declared parameters, thereby positioning humans as strategic "conductors" of AI cognition, not tactical manipulators. 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 (™).
What this episode covers
Greg Twemlow's article "Playbooks, Not Platforms: Why AI Agent App Stores are a Disaster" argues against the prevailing trend of developing AI agent marketplaces, which he believes replicate the disorganisation of traditional app stores. Twemlow asserts that these marketplaces burden users with decision-making and selection, rather than simplifying tasks. He proposes an alternative, the FifthSense Problem Definition Architect Playbook, which focuses on defining problems and desired outcomes upfront. This system then orchestrates and self-selects the most suitable AI agents and Large Language Models (LLMs) to achieve those objectives, eliminating the need for human browsing and guesswork. The article also introduces AI Agent Capability Profiles and the Functional Agent Ontology (FAO) Protocol as crucial infrastructure for this new paradigm, allowing machines to understand and select agents based on declared parameters, thereby positioning humans as strategic "conductors" of AI cognition, not tactical manipulators. 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 (™).
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Why Defining Problems, Not Browsing AI Agents, Is the Future of AI
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