ProductManagement
A vague sense that something should be smarter, and a model gets proposed before anyone has asked what kind of problem this actually is. Some problems are prediction problems, genuinely suited to a model from the start.
AI
The fastest way to understand AI isn't to study it. It's to build something small that solves a problem you actually have, not a tutorial project or a course, but something you'll use tomorrow morning. A script that sorts your email backlog by urgency.
AI
Claude Sonnet 4.6 dropped on February 17th. By that evening I had run a full evaluation and decided to stay on 4.5. Over the next two days, I ran the same pipeline a dozen more times across both models. The answer didn't change. What I tested
AIStrategy
In November 2025, Google shipped Antigravity, a full IDE built around the Gemini 3 model. By January 2026, Anthropic had extended Claude Code's agentic capabilities into its desktop app. On February 2, 2026, OpenAI released the Codex desktop app for macOS. Three frontier labs, three consumer-facing coding
AI
Here's something I've noticed after months of heavy use: Claude handles file operations with surprising reliability. ChatGPT... doesn't. Not consistently, anyway. I'm not talking about edge cases. I mean simple requests - "export this as markdown," "give me a downloadable
AgenticAI
If you’ve been building AI agents lately, you’ve probably seen this pattern (pun intended): We’re in the middle of an Agentic AI gold rush. LangChain, AutoGen, CrewAI, and dozens of other frameworks promise to make building AI agents as easy as importing a library. And they do