Insights

Technical perspectives and architecture notes from production AI and infrastructure engagements.

Latest Articles

7 Apr 2026

Why serious AI teams now treat evaluation as a delivery system, not a benchmark spreadsheet.

7 Apr 2026

Agent systems become operationally expensive when teams cannot see where reasoning, tools, or retries are failing.

7 Apr 2026

Retrieval systems break long before models do if freshness, permissions, and ranking strategy are not engineered from the start.

7 Apr 2026

The fastest way to create instability in production AI is to keep heavy model work directly on the user request path.

Agent orchestration, runtime control, and evaluation pipelines.

Distributed systems patterns for reliable AI delivery in production.

Retrieval architecture, grounding quality, and freshness strategy.

Quality measurement, incident response, and operational governance controls.