I’ve been running Hermes AI agent as part of my daily setup for a while now, so here’s my honest, hands-on review — what it does well, where it falls short, and my actual rating. This isn’t a first-impressions video. I’ve used it across real workflows, so this is a genuine review, not a demo.
Google just added 60-second vertical AI video overviews to NotebookLM — and I’ve already plugged it into my Agent OS. Here’s exactly how it works and my honest take on the quality. This is different from the long-form NotebookLM videos I’ve covered before — this one’s built for social media. Key takeaways NotebookLM just added
China just dropped another open-source model: Meituan LongCat 2.0. I got hands-on with it, built some game demos, and compared it directly against GLM 5.2 — here’s my honest verdict. This one comes with a genuinely wild detail: it was trained without a single Nvidia chip. Key takeaways LongCat 2.0 is a new open-source, 1.6-trillion-parameter
Who’s actually good at AI SEO right now? Here’s my honest list of the best AI SEO experts to follow in 2026. AI has changed SEO completely, and these are the people genuinely doing it well, not just talking about it. I’ll start with myself, since it’s my list. My top 3 at a glance
Grok 4.5 is in private beta, and the real story is Cursor-style coding data. Here is how I would wire it into my AI workflow today: the edge
You keep hearing about Mixture of Agents, and for good reason — it’s one of the most important ideas in AI right now. Let me explain it simply. In short, instead of relying on one AI model, you combine several into one stronger answer. Here’s what it is, why it works, and how to use
Everyone’s talking about AEO — Answer Engine Optimization — so here’s my honest list of the top AEO experts actually worth following in 2026. Search is splitting into classic results and AI answers, and these are the people genuinely cracking the second one. I’ll start with myself, since it’s my list, then the rest. My
Want the quick version of Hermes Agent MoA? Here’s what it means and how to switch it on in minutes. MoA stands for Mixture of Agents — running several models in parallel and merging them into one stronger answer. This is the fast-reference guide. Key takeaways MoA = Mixture of Agents: several models fused into
Looking at the Hermes Mixture of Agents skill as a way to make your agent smarter? Here’s exactly how it works — and one honest distinction. MoA gives your agent a panel of models instead of one, fusing their answers into a stronger result. It’s one of the simplest ways to level up an agent’s
Heard about the Hermes Mixture of Agents tool and wondering where it fits in your setup? Let me clear it up. MoA lets several AI models work in parallel and merge into one stronger answer — a panel of experts. But there’s an important distinction about what it actually is, which I’ll explain. Key takeaways
