Armagan Amcalar

It’s been 15 years since I last wrote an academic paper and I didn't expect the next to be this fundamental. Today we published a research paper with @openservai that represents a major breakthrough in how we think about AI reasoning. For years, we’ve been told that better AI reasoning means bigger models, longer chains of thought, and higher costs. We accepted that trade-off almost by default. This work questions that assumption. With BRAID's structured, bounded reasoning, we’re seeing up to 74× efficiency gains and ~30× better performance per dollar without losing accuracy.

if you dont know why your @openclaw keeps failing, and your AI agents cost a fortune here's Margot Robbie in a bubble bath to explain.

@dexvdev As bayraklari as. Abartmak benim kitabimda yok :) ama too good to be true isler yaptigim dogrudur.

I just published a piece on the institution-grade agent architecture built by @dashersw and $SERV team over >2 years. Share with any enterprise friends looking for reliable AI solutions

If you write Babel plugins, codemods, or any kind of JS code generation tooling — eszter will save you hours of squinting at nested builder calls. MIT licensed. Zero runtime dependencies beyond Babel itself. github.com/dashersw/eszter

eszter is NOT a replacement for @babel/types. It's a layer on top. You can freely mix: const condition = t.binaryExpression('!==', left, right) const stmt = js`if (${condition}) { el.textContent = value; }` Use eszter when the shape reads like code. Use raw t.* when it doesn't. They compose perfectly.

I just open-sourced eszter — a library that lets you write Babel AST the way you write code. Tagged template literals + TypeScript return-type inference. No more six-level-deep builder towers just to generate an if statement. npm install eszter

We just shipped native agent hosting on OpenServ Until now, builders had to rent a computer elsewhere and wire everything together manually. That is over. > No VPS rental > No GPU setup > No third-party providers One command deploys and hosts your agent directly on SERV This is what a fully integrated agent stack looks like. And it makes building on SERV the simplest path from idea to live agent on the market.

Coyotiv introduces: Raison raison.ist

@dashersw Meet Raison: raison.ist

"We’ve transformed Raison into a comprehensive platform where you can build prompts visually or conversationally via an AI chat interface, convert them into the BRAID format, and both measure and actively improve their performance." - @dashersw