Notes on architecture
and AI.
Field notes from 20 years of enterprise architecture, and what changes when AI goes to production.
Security Protocols for Agentic Systems
Establishing rigorous boundaries and fail-safes when granting autonomous AI agents read/write access to mission-critical databases and APIs.
Security Protocols for Agentic Systems
Establishing rigorous boundaries and fail-safes when granting autonomous AI agents read/write access to mission-critical databases and APIs.
Optimizing Latency in Distributed LLM Pipelines
A deep dive into architectural strategies for reducing inference latency in distributed Large Language Model deployments, focusing on edge computing and strategic caching.
The Future of Bespoke AI Systems in Enterprise
Why off-the-shelf AI models fail to meet enterprise demands and how bespoke engineering provides the only viable path to genuine operational intelligence.
Architecting Scalable AI: From Legacy Code to Neural Autonomy
A definitive guide to structuring intelligent systems within legacy enterprise environments, ensuring fault tolerance and continuous learning without compromising operational stability.