π The Book Pattern: Progressive Disclosure for AI Agents
The article discusses the concept of progressive disclosure in the context of AI agents, using the structure of a technical book as a model. It outlines how AI agents can be designed to read and understand projects similarly to how readers evaluate books. The author emphasizes the importance of a structured approach to ensure that AI agents can efficiently access and utilize information.
- βͺProgressive disclosure is a method that helps AI agents understand projects by breaking down information into three parts: the promise, the constitution, and the map.
- βͺThe promise is akin to a book's back cover, providing a quick overview of what the project entails and the agent's role.
- βͺThe constitution outlines the rules and expectations for the agent, while the map allows for easy navigation of the project's components.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 2895129) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } idavidov13 Posted on May 22 β’ Originally published at idavidov.eu π The Book Pattern: Progressive Disclosure for AI Agents #testing #qa #ai #agents Agentic QA (8 Part Series) 1 The Scaffold: Playwright Project Structure Built for AI 2 What Is Agentic QA and Why It Changes Everything ... 4 more parts...
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