|
👋 You’re in. And before the first issue lands in your inbox, I wanted to take 30 seconds to tell you what you’ve actually signed up for. Every week I’ll walk you through one or two things you can set up that week to work faster with AI. Not more theory, not news roundups, not hype about what’s coming. Just practical tools and workflows, tested by me, explained step by step. Issues drop every week. When something genuinely urgent comes up between issues, you’ll get a short Signal Alert — but I keep those rare. The whole point is that you don’t have to be glued to anything. I’m watching so you don’t have to. If you ever have a question, want to share something you’ve been trying, or just want to say hi — reply directly to any email. I read everything. One last thing. I want to make sure every issue is actually useful to you specifically. So:
Just hit reply. Two sentences is enough. See you in your inbox soon. CT |
Business & Tech in 5 minutes or less.
Anthropic dropped Claude Opus 4.7 this week, this model is built for long-running coding tasks, multi-file refactors and complex debugging sessions. From my early testing the model is quite different to what we are used too and it tends to ask lots of followup questions similar to what we've seen with GPT 5.4 and in comparison to Opus 4.6 we see fewer tool errors, and crucially the model now verifies its own outputs before reporting back. Cursor’s CEO called it “a meaningful jump in...
👋 The thing about AI right now is that most people are using it the same way they used Google in 2005. They type a question. They get an answer. They move on. That’s fine. But it’s leaving most of the value on the table. This week, I’m running a series called Get AI Native in 2026. Not a course and definitely not theory. Every issue, I’ll walk you through one or two things you can actually set up this week that will change how you work. Step by step. This issue is about two tools that...
After three years of hype, AI is finally meeting reality. The gap between a cool demo and a working business is closing fast. LLMs are writing production code, robots are landing on doorsteps, and autonomous taxis are actually turning a profit. We have moved from “what if” to “what is.” Here is the current state of the frontier: from the infrastructure of open source to the rise of physical world agents, and the inevitable shift toward AGI and monetization. the models Most people still...