Why Defining Problems, Not Browsing AI Agents, Is the Future of AI

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.

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