NEW VIDEO IS LIVE Everybody is rushing to GitHub right now to download "Karpathy's CLAUDE md" file. One problem. KARPATHY NEVER WROTE IT. A guy named Forrest Chang took one of Karpathy's tweets about how coding agents fail and turned it into a 65 line file. 177,000 people starred it. Almost nobody actually read the one sentence that matters. Here is what Karpathy actually said: "Traditional computers automate what you can SPECIFY. These models automate what you can VERIFY." That is the whole game. And if you copied the file and Claude is still fighting you, this is why. The file is not the method. In this video I break down: THE 4 REAL PRINCIPLES the file is built on (and where it came from) WHY prompting keeps failing you and what to do instead THE EXACT FRAMEWORK I run every build through (SEED to plan the spec, PAUL to plan, apply, and verify it) A LIVE side by side of cold prompting versus spec driven so you can see the difference in tokens and quality This is not "here is another tool." This is the operating system I use to actually ship, not just vibe code something that falls apart at 70 percent. If you have ever had Claude build you something that looked great and then collapsed the second you tried to extend it, watch this one. Drop a comment with what you are building and I will tell you exactly where SEED and PAUL fit in. Watch it, run the framework, and come back and tell me what changed.

I think the answer is obvious in my opinion. But I feel it's important to share the most underrated perspective when it comes to Systems Consulting/DFY Agencies.... A systems thinker is 100% more valuable than the system they leave behind. Platforms evolve, SOPs change... nothing ever stays the SAME. Break down a business into departments: - Finance - Marketing - Sales - Product Development - Etc. And we can see the core anatomy of a business is the same across the board, the difference lies in the offer, proprietary SOPs, and people involved (values). So when we understand the anatomy of the business, we can drop into ANY company, in ANY niche, and know exactly where to look first. The system someone hands you is just a snapshot, it was the right answer for one moment in time. But the moment the platform updates, the offer shifts, or a new hire changes the team dynamic, that snapshot is already out of date. The systems thinker doesn't hand you a snapshot. They hand you the lens. This is the difference between buying a fish and learning to fish, except it's bigger than that. A systems thinker teaches you to read the water, to know which season the fish move, to build the rod when the old one breaks. The system is the fish. The thinker is everything around it. Here's what this means practically: - A system without a systems thinker rots. It runs fine until the first edge case nobody documented, then it quietly breaks and nobody knows why. - A systems thinker without a system is still dangerous. Drop them in cold and they will rebuild what's missing, because they understand the anatomy, not just the artifact. So if you're hiring, building a team, or deciding what to invest in for your own skillset, optimize for the THINKER, not the artifact. Buy the SOP if you need a quick win. Become the systems thinker if you want to never be stuck again. That's the whole game. What do you think? Are you collecting systems, or are you building the way you think?

Hi everyone. We're building a personalized outreach intake system for processing immigration leads, meaning an immigration law firm will hire us, use the system to qualify and screen their leads, and help them sign up cases. We're looking at ways to have a natural-sounding voice. We're currently using Retell that we have with Twilio as the primary phone system, and then behind that we were looking at using Eleven Labs to have more natural-sounding voice than the voice provided by Retell. Currently, the process of this is to have it all synced Go High Level to schedule paid and unpaid appointments for people and do post consult follow up. How have people found more natural-sounding voices with AI so it doesn't sound like AI itself?

Fake News or real. Seems to be real. Can you understand that? https://www.cnbc.com/2026/06/12/anthropic-disables-access-to-fable-5-and-mythos-5-to-comply-with-government-directive.html

Not degraded. Not more expensive. Gone. A lot of teams spend months optimizing prompts, evaluations, and workflows around a single model. But here's the real question: What happens when that model is no longer available? Most AI systems are built around a model. The best AI systems are built around an interface. When Claude, GPT, Gemini, or an open-source model changes, gets restricted, or becomes unavailable, resilient systems can switch providers without rebuilding the entire stack. That's why I'm seeing more teams move toward: • Multi-model architectures• Provider abstraction layers• Model fallback strategies• Evaluation-driven model selection The future isn't choosing the perfect model. It's building systems that survive when the perfect model changes. Are you building model-dependent systems or model-resilient systems?