AI Agents, Context Engineering, and Time Molecules

Abstract AI agents are not just about producing answers—they are executing processes. If those processes emit events for each step, they can be studied the same way we study human and enterprise workflows. By capturing and analyzing these event streams, we can reconstruct the context behind agent decisions and understand how AI-driven systems actually operate … Continue reading AI Agents, Context Engineering, and Time Molecules

System ⅈ: The Default Mode Network of AGI

Abstract: TL;DR Preface—The System ⅈ Origin Story For my AI projects back in 2004, SCL and TOSN, the main architectural concept centered on how I imagined our conscious and subconscious work. In my notes, I referred to the conscious as the "single-threaded consciousness". The single-threaded consciousness made sense to me because we have just one … Continue reading System ⅈ: The Default Mode Network of AGI

Context Engineering and My Two Books

“Context engineering” is emerging as the evolutionary step over prompt engineering. It's the deliberate design of everything an AI system can access before it produces an answer. The goal is to make it work on the right problem, with the right facts, under the right constraints. That is, by mitigating "context drift" as the AI … Continue reading Context Engineering and My Two Books

Stories are the Transactional Unit of Human-Level Intelligence

The transactional unit of meaningful human to human communication is a story. It's the incredibly versatile, somewhat scalable unit by which we teach each other meaningful experiences. Our brains recorded stories well before any hints of our ability to draw and write. We sit around a table or campfire sharing stories, not mere facts. We … Continue reading Stories are the Transactional Unit of Human-Level Intelligence

Reptile Intelligence: An AI Summer for CEP

Abstract Complex Event Processing (CEP) has long been dismissed as mere real-time infrastructure, yet it embodies the scalable, deterministic substrate that artificial intelligence has overlooked: a high-performance System 1 layer as described in Daniel Kahneman’s Thinking, Fast and Slow. System 1—fast, automatic, intuitive, massively parallel, and effortless—handles the overwhelming flood of sensory (or in enterprise … Continue reading Reptile Intelligence: An AI Summer for CEP