Watch the video, then drop 1–2 things in the comments that you've had GPT do in the last week or so that would've blown your mind 3 years ago. I'll drop mine below

Most agents start with the wrong question: "Which AI tool should I use?" The better question is: "What team do I need around me?" True leverage isn't found in a single chatbot. It’s in building a small team of AI specialists equipped with your specific context, a set of skills, connected tools, and standards. If you want to start building your AI Team, here's a few roles I recommend adding to the lineup: - Chief of Staff: Routes work to team members and keeps context across your different businesses. - Lead Follow-Up Specialist: Prioritizes opportunities and drafts replies in your clients DISC language. - Marketing Assistant: Turns listings and expertise into campaigns and assets. - Client Care Coordinator: Elevates your client experience to earn repeat and referral business. - Operations Manager: Reviews SOPs, recurring work, and bottlenecks. Ten years ago, building this team required multiple hires and six figures in payroll. Today, $100/month in AI software unlocks these exact capabilities which is absolutely wild to think about. Here's my recommendation, forget about Claude vs ChatGPT comparison for a minute. Sketch the 3 to 5 specialists your business needs most, then decide what each one needs to know, do, and access. If you've built a CustomGPT, Agent, GrokBot, Hermes Agent, OpenClaw Agent etc. drop in the chat how it's been a game changer for you compared to the old way of using AI ↓

Claude just leveled up our entire strategy with its new Agent Skills feature, and it is a massive shift for how we operate. Instead of just typing prompts and copy-pasting answers, you can now literally teach Claude your exact Standard Operating Procedures (SOPs). By leveraging its new computer use capabilities, you can essentially let it "watch" you work and build repeatable systems based on your exact actions. Think about what this means for your daily operations. Your workflows get streamlined instantly—as if you just hired a hyper-efficient personal assistant who sits right next to you, ready to execute your processes without dropping the ball. We are diving into the exact details of how to set this up and deploy it in your business today at 1:00 PM MT inside the AI Systems Lab. If you are not yet in the AI Systems Lab group but want to jump in and see this in action, text me and I’ll get you the details for this afternoon’s session. 385-207-9189 Let's build! 🚀

I’m working through a 1031 Exchange right now and had a legal document I needed to review before signing. This is one of the most practical ways to use AI: not to replace your attorney, but to quickly scan a contract for red flags, unfair terms, vague language, hidden obligations, and questions you should ask before you sign. Use this before reviewing vendor agreements, lending docs, service agreements, lease terms, partnership agreements, 1031 documents, or anything else where the fine print matters. Before you give it to AI, remove private client info, account numbers, signatures, addresses, or anything confidential. Check the first comment for the prompt I used ↓

Anthropic dropped Claude Fable 5 this morning. Quick backstory so this makes sense. In April, Anthropic built a model called Mythos that was so capable at finding software vulnerabilities they refused to release it. They only gave it to a small group of partners like Apple, Google, JPMorgan, and AWS so those companies could use it to patch their own systems before anyone else got access. Fable 5 is that same model, released to the public with guardrails. If you ask it something in a high-risk area like cybersecurity or biology, it quietly hands the question to Opus 4.8 instead. Anthropic says that happens in under 5% of sessions, so for business use you will likely never notice. What you should know as an operator: 1. It sits above Opus. This is the new top tier. The longer and more complex the task, the bigger the impact. Multi-step projects, massive documents, and agent workflows, that is where you will actually feel the difference. 2. The testing window is right now. It is included on Pro, Max, Team, and Enterprise plans through June 22. After that, heavy usage may require credits until they expand capacity. If you want to pressure-test it on real workflows, the next two weeks are your window. (I assume that's why Anthropic is giving everyone double token usage right now.) 3. It compresses time. Early reports are showing heavy analysis and coding work that usually takes weeks finishing in days. For those of us running AI org charts, this completely changes the scope of what a single assistant can own. I wanted to test it out myself to see if there's a difference compared to Opus. First prompt I ran this afternoon: a full outside audit of my Claude Cowork workspace across different businesses and my life areas. It spun up 4 sub-agents and ran 176 steps in parallel - completed in about 5 minutes. The exact prompt is in the first comment. Steal it and run it on your own setup. If you end up using Fable for something cool, share your wins below. One more thing. This Friday, 11am MT (1pm ET), I'm doing a full deep dive on Fable 5 inside the AI Systems Lab. We'll go through strategies to maximizing your output with Claude CoWork, the workflows I'm migrating, and how to think about building an AI org chart that supports your business growth.