Posts
All the articles I've posted.
Context Graphs: The Missing Layer for Enterprise AI (Part 1)
Enterprise systems record operational facts, but AI agents increasingly need the reasoning behind those facts. A look at context graphs, decision traces, and why capturing judgment at write time may become a foundational layer for enterprise AI.
Databases Are Not Where Software Begins
A mental model for reasoning about databases, event sourcing, CQRS, search, analytics, vectors, and graphs as one coherent evolution — not a shopping list of technologies.
Outcomes matter more than words
A mental model for what AI systems actually need once they stop answering questions and start acting. Observation evolves through predictable stages, each one solving a real failure and creating the next — and the endpoint isn't observing everything, it's knowing what's worth the cost of proving.
Demystifying LLM Tool Calling: The Engine of Agentic Workflows
An introduction to how Large Language Models interact with the external world through tool calling, the role of post-processors, and completing the execution loop.