Writing on AI, data,
and everything in between

Most AI systems in production are unobservable black boxes. When they fail — and they will — you have no idea why. Here's how we instrument AI systems for real-world debugging.

Raw data is useless without reliable pipelines to move, clean, and enrich it. Here are the five architectural patterns we use on every PrismGraph engagement.

Agentic AI systems go beyond simple prompt-response loops. They plan, reason, use tools, and self-correct — making them fundamentally different from everything that came before.