Can we create high quality ads using Higgsfield + Claude??

I am just curious about how many of you guys took the leap and just check/process emails through AI agent or still cautious because of privacy issues?

Guys, what was the biggest difference between AI OS and executive assistant? Even in the AI OS, we build skills and agents, right? So I don't clearly understand the real difference.🧐 Also, while building Karpathy's second brain, do any of you guys have a good resource for making AI build connections between files/building a knowledge graph (the one you see on Obsidian)? 😇

Guys, what do you think? Do we really need a wiki/second brain for high-stakes environments, or are structured .md files good enough? We can't risk AI hallucinations in high-stakes sectors (Law, Health, etc.), right? So is it better to leave the data as-is and focus on writing CLAUDE.md properly so Claude routes and gets the data it needs depending on the user's request? Or is there a way we could still use a wiki (Karpathy's "second brain") for high-stakes scenarios while dealing with AI risks and better structuring our knowledge graph? I still don't see a really good approach/prompts that would let AI build/connect/create our data into a wiki while ensuring a hallucination-free KG. 🥸

Everyone is talking about agent loops and loop engineering right now, but most of the advice assumes you are a hardcore coder running fleets of agents around the clock. In this video I break down what an agent loop actually is (reason, act, observe, repeat), why the verification step matters more than the architecture, and how to think about a "done" criteria that your agent can actually check. I walk through a few real loops I ran, including thumbnail scoring, a three.js plane, and an Abbey Road recreation, and explain why loops are about getting you closer on the first try, not perfect output. If you have been feeling behind because you are not running five agents at once, this one is for you.