Systems Thinking
-
937 words4–6 minutesWhen Agents Become the Team, Roles Must Be Explicit
LLM agents can generate plans, code, reviews, fixes, and next steps. That does not make them a team. Reliable AI work starts…
-
744 words3–5 minutesWe Learned to Generate Answers Faster Than We Learned to Understand Questions
We tend to think AI changed how quickly we can find answers. The more interesting change may be that it exposed how…
-
2,391 words10–15 minutesThe Architecture Below the Chat
AI work does not stop at the chat interface. Different tasks require different layers: projects, structured notes, RAG interfaces, agentic workflows, orchestration,…
-
1,264 words5–8 minutesThe New Layer Above the Specialist
AI has added a new layer above professional work. Specialists now operate not only inside their discipline, but also across AI context,…
-
1,677 words7–11 minutesWhen the Flow Is Ungovernable, Define the Unit
When work is chaotic and priorities change constantly, adding frameworks often fails because the real issue is not flow but an undefined…
-
1,873 words8–12 minutesWhen the Tool Search Takes Too Long, You Were Not Choosing a Tool
Building a personal website first looked like a tool-selection problem, but the real issue was missing product definition. The need was clear,…
-
801 words3–5 minutesProduct Architecture Is a Method, Not a Domain
Product architecture is often mistaken for a software discipline because it is usually presented through PRDs, APIs, flows, and engineering artifacts. In…
-
909 words4–6 minutesUX Is Not About Experience. It Is About Understanding Systems
UX is often framed as improving experience, but its deeper function is understanding the systems that create experience. Behavior is the most…