Behnam Sherafat

Code-first agent definition in Node.js is the right call. Most agent frameworks add abstraction layers that make simple things easy but complex things impossible. Being able to define tools, memory, and permissions directly in your codebase means you can version control your agents the same way you version control everything else. The capability-based permissions model is what separates this...

The Feynman Tutor mode is the standout feature here. Most AI learning tools reward you for asking good questions, but the real test of understanding is whether you can explain something back clearly. Flipping that dynamic so the AI challenges your explanation instead of just handing you one is a much harder problem to solve well. I'm curious about the knowledge products feature. When it...

As someone who runs a production SaaS on Render with Sentry for error tracking, the alert-to-root-cause gap is real. I've spent more time correlating Sentry exceptions with Render logs and Supabase query patterns than I'd like to admit. The fact that it drafts incident reports with timelines and commit histories is the part that caught my attention. That's usually the thing that gets skipped...

The Fn key as a universal trigger is a smart design choice. Most voice tools force you to switch context just to activate them, which defeats the purpose. Keeping it at the OS level means it actually fits into a real workflow instead of interrupting it. Curious about the email reply speed claim (12x faster): is that based on actual user benchmarks, or is it a rough estimate? Also, does it work...

The pricing-to-value ratio here is hard to beat. As someone building an AI-powered SaaS myself, I know how much time goes into infrastructure setup before you even write a line of agent logic. The 850+ pre-connected integrations is what stands out to me; that's usually where the real friction lives, not just the container setup but wiring everything together. Quick question: for agents that...