Paul Iusztin

This talk introduces an AI Research OS designed to transform personal notes and research into a dynamic, queryable knowledge base. The system aims to help AI engineers and builders overcome the challenge of losing or struggling to access valuable information scattered across various digital tools. It proposes a layered approach, moving from raw data to an indexed system and finally to a synthesized, wiki-like interface that agents can effectively leverage.

This workshop introduces a system for automating the creation of technical articles, moving beyond generic AI-generated content. It details the architecture and implementation of a deep research agent and a writing agent, designed to work together to produce high-quality, human-like content. The system aims to augment human writers by handling the research and initial drafting, allowing for more efficient and scalable content production.