A friend of mine is making $10M / month right now going to restaurants, hotels & construction companies in New York and brokering their data to AI labs. Was a generational opportunity to start a company like this during late August - start of October. Seems like this inefficiency is about to be aggressively corrected by companies like Kled.

this tweet has made me roughly $2.8m so far. I cannot put into words how lucrative this space is. key players from almost every frontier lab is now asking for data. and data providers from every neolab is now selling theirs to me. i'm sitting right in the middle. there is so much money to be made. lock in for 3 month to never have to lock in again. you are so early to this opportunity.

For years, maybe a decade, I've wanted to build a writing tool that just did a few things I couldn't find anywhere else. A system that mimicked how I think when I write. A system that provided clear affordances, features, and places to do the things I wanted to do. A way to play with my writing as I'm writing it. A way to settle into just the right way to say something. It never made sense to make it a 37signals product because it's not commercially viable, nor would it be worth pulling people off their other work to hack on this. Plus, it would have taken months the old way. So this weekend I just made it myself, with Claude's help. It's called Write_On and the short video walks you through it. Essentially it's "alternative control" at the word, sentence, and paragraph level, plus a way to dim stuff back, and stash stuff near by. Not version control, but alternative control. You'll see what I mean when you watch the video below. So here it is. Write_On.

You can now mod Claude Code: - Change how it behaves - Customize the UI - Swap in your own features Write one with a few lines of TypeScript, or have Claude build it for you. Mods ship inside plugins, so you install them with /plugin in the CLI or desktop app. A few examples:

Remember: "Agentic" and "Harnesses" are (mostly) just giving little LLM calls tools like bash/powershell and web search. And sending them off on a quest. Skills: are just prompts in a folder, maybe with some scripts or a reference output. It's not magic. If you watch harnesses work... what are they doing? command-line calls. Thousands of them.

Opus 5.5 High plans and orchestrates, Sonnet 5.5 Medium is the workhorse, and Sol 6.1 reviews. Killer combo.

OpenAI I’m saying this with all the love of someone who’s already upgraded to that comical $500 tier, what are we even doing here man. - ChatGPT: can execute agentic tasks, run code, create documents, interact with apps - ChatGPT Work: can execute agentic tasks, run code, create documents, interact with apps, but has a VM and a browser - Codex: can execute agentic tasks, run code, create documents, interact with apps, has a VM and a browser, but shows you file diffs - Dots: can execute agentic tasks, run code, create documents, interact with apps, has a VM and a browser, but has a cute mascot

0.7.5 is out! herdr is getting used more and more for multi-agent orchestration, so this release ships a native agent cli built exactly for that. more in below 👇 but first, the new agent sidebar: deeper customization with per-token colors, bold and dim, plus full filtering and sorting any way you want. from config, scripts, or plugins, all through the api!

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution