Model intelligence is advancing faster than any of us can keep up with, and the real product challenge now is converting that intelligence into wisdom. Intelligence answers whether something can be done. Wisdom knows which answer is worth producing, what it costs to be wrong, and when the right move is to do nothing.
Category: AIML
Agents Are Becoming the Front Door. Nobody Has Built the Door Yet.
Three things I’ve been watching, and what the public record actually says about each. 1. The assistant is becoming a distribution channel Companies are starting to treat Claude and ChatGPT the way they once treated the App Store: a place where customers arrive, not just a place where their product gets described. Canva is the … Continue reading Agents Are Becoming the Front Door. Nobody Has Built the Door Yet.
Anthropic Threw Away Git. What Broke First Is the Part I Can’t Stop Thinking About.
Anthropic built its own version control system in five months with seven people and migrated its monorepo off git. The interesting part is not Scion – it is the diagnosis underneath it: git's cost model is priced for an offline client that no longer exists in an agent-driven fleet.
Spec Kit vs AWS AI-DLC
I ran the same expense-approval project through Spec Kit and AWS AI-DLC. One is a lean artifact pipeline; the other is a stateful process runtime. Here is where each approach helps, where it gets heavy and how the implementation differs.
AI Is Not the Plan
I keep hearing two versions of the AI story. In one, AI gives everyone a personal tutor, doctor, researcher, and software engineer. In the other, it takes our jobs, floods the internet with deception, and concentrates power in a handful of companies. Both versions miss the important part. AI is a capability. It is not … Continue reading AI Is Not the Plan
