Teaching, learning, and training in a world where the tools keep moving.
Why single prompt agents fail on long running work and how managers, specialized workers, durable state, and human approval gates create dependable agent systems.
Why broad generative AI pilots often fail to show business impact, and how workflow redesign, trustworthy context, synthetic data, and automated verification change the equation.
As inference becomes cheaper, AI advantage shifts from raw compute access to efficiency, latency, and a hybrid architecture that sends the right work to the edge.