Technology · Business · Learning
Practical starting points for making technology useful in your business.
AI Agents
Coding agents are not simply increasing developer productivity. They are changing the structure of the software development lifecycle, moving human responsibility toward intent, architecture, judgment, governance, and customer outcomes.
AI Product Strategy
AI is changing both the effort required to create software and the economics of embedding useful intelligence in products. Personal applications, focused business tools and smaller markets become worth reconsidering, provided leaders account for quality, operating costs and ongoing ownership.
AI Models
One model or vendor is unlikely to be the right answer for every part of an application. Technology and product leaders should select capabilities by task, evaluate the full economics, and make switching a tested property of their architecture.
AI Capability Overhang
Enterprises often introduce AI as a way to accelerate existing tasks while leaving workflows, handoffs and responsibilities intact. Capturing its broader value requires understanding agents, redesigning work around business outcomes, and addressing the uncertainty employees face.
AI Leadership
Domain knowledge, experience, taste and judgment help leaders turn AI output into useful work today. These advantages matter precisely because they shape direction and evaluation, but leaders should prepare for agents to take on more of those responsibilities over time.