🤔 Curiosity: What are we optimizing for, really? When the ecosystem reaches thousands of skills, the main problem stops being “which tool is best?” and becomes: How do we avoid spending all ou...
🤔 Curiosity: The Question I kept seeing a familiar complaint: teams don’t reject AI agents because they lack one feature. They reject them because the workflow doesn’t fit their daily rhythm. So ...
🤔 Curiosity: Why this topic now? When AI tools improve, workflow problems don’t disappear — they just become louder. I noticed one practical question after watching teams move fast with LLMs: ...
🤔 Curiosity: The Question We keep telling agents to “use the CLI,” then act surprised when it fails. But human‑first CLI design optimizes the wrong thing for agents. So the real question is: ...
🤔 Curiosity: The Question The question in 2026 isn’t “how do I use AI?” It’s “how far can one person scale?” The market tells the story: billions in ARR across agent‑first companies. What’s shift...
🤔 Curiosity: The Question Most local agents fail for a simple reason: they can understand the request, but they can’t pick the right tool fast enough to feel instant. So we pushed the whole stack...
🤔 Curiosity: The Question When I watch teams adopt Claude Code or Codex, the same thing happens: we get speed, but we lose consistency. So the question isn’t “which model?” anymore. It’s: Wha...
🤔 Curiosity: The Question Most “agent tooling” fails because it can’t touch the tools we actually use. Gmail. Calendar. Drive. Docs. Tasks. So when I saw gogcli — a fast, JSON-first Google Worksp...
🤔 Curiosity: The Question I’ve been building my harness Ouroboros for a while, dog‑fooding it in safe conditions. But at this year’s Ralphthon, I wanted to test it at the edge. Two hypotheses: 1...
🤔 Curiosity: The Question When I use Claude Code or Codex for frontend work, two things keep slowing me down: 1) “Where exactly should the agent change?” 2) “What did the agent actually do after ...