Insights
What we learn building systems that have to work — written for the engineers and operators who run them.
Methodology
Version control and CI/CD solved software delivery. AI broke the playbook — models are probabilistic, data drifts, and demos lie. The lifecycle we built after 340 deployments.
June 2026
9 min read
Agentic AI
Autonomy isn't a model property — it's a runtime property. Least-privilege tools, confidence-based escalation, and replayable audit trails: how Zorat makes agents governable.
May 2026
11 min read
Data Intelligence
Models operating on raw tables make expensive mistakes. Ontology-driven context — entities, relationships, rules — is the highest-leverage AI investment nobody budgets for.
April 2026
7 min read
More articles publishing soon. Full essays available on request — write to mayur.patil@aurelia.tech.