Technology · Business · Learning
Practical starting points for making technology useful in your business.
AI Agents
I replaced a hosted mailbox with my own mail system on AWS, built with coding agents, and had real mail flowing in production within days. The speed was not the interesting part. The interesting part was what the human had to do so that speed was safe: define approval boundaries, insist on evidence, and keep every irreversible decision in human hands.
AI Business Transformation
Leaders need to distinguish checkable conditions, contextual judgments and observed outcomes before treating an AI score as evidence of business value.
AI Product Strategy
Useful agent products need predictable spending, shared limits across the entire task, and a clear way to preserve progress when an allowance runs out.
AI Business Transformation
Designing an app makes agent coordination concrete: review the design system, data model and translations, agree shared interfaces, then verify code quality and web/mobile coverage.
AI Agents
As agents take actions across business systems, leaders need an explicit account of what each agent may access, change and commit the organization to. Useful autonomy depends on enforceable limits, evidence of completion and a workable recovery process.
AI Product Strategy
AI can help conduct and summarize more customer conversations, but interview volume does not establish understanding. Product leaders need deliberate recruitment, traceable evidence and tests that connect what people say to what they do.
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 Progress
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 Business Transformation
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.
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.
