First-principles writing on AI systems, cybersecurity, and the messy reality of building technology companies - no corporate speak, no fluff.
How AI agents actually work, where they break down, and what it takes to deploy them in high-stakes environments.
The real problems in security operations, detection engineering, and why most of the industry's assumptions are wrong.
Technical decisions, leadership lessons, and the unglamorous reality of building technology from zero to one.
Frontier AI capabilities don't debut at keynotes. They're assembled in training data pipelines - and the hiring patterns are visible months in advance.
Every system in history was designed to last. AI agent architecture is the first that should be designed to disappear. The best code you write today is code that becomes unnecessary tomorrow.
The industry uses 'context' as a synonym for 'more data.' It's not. Here's a first-principles framework for what context actually means - from events to chains to storylines - and why most SOCs are stuck at Layer 1.