Running AI in production: MLOps and AgentOps foundations
INTELLERTS AGENTOPS SERIES | PAPER 1 A practical toolkit for keeping AI models and agents accurate, affordable, safe andaccountable once real users depend on them. BY DARIUS DILIJONAS, INTELLERTS An agent that issues a refund, updates a customer record or drafts a supplier email can look flawless in a demo. Run the same task ten […]
The Hidden Debt in Your AI Ambitions: Why the Data Stack Decides Whether You’re Ready
Most AI systems look effortless from the outside. A model, some data, a prediction, delivered with confidence and a clean interface. That polish is (often) deliberate, and it hides how much sits beneath the surface. By now, most teams building in production are catching on: the demo is the easy part. In 2015, a group […]