Anthropic just released Claude Opus 5 and this is the model I'll be building on going forward. Short version: it's near the top of the frontier at HALF the price of what that used to cost. If you're building anything with AI, cheaper + smarter is the whole game. What actually matters for us: • Coding: basically matches the best model on the market at half the cost • It verifies its own work now. It'll write test harnesses, catch its own bugs, and keep iterating until the thing actually works instead of handing you broken code • Way better at agent-style tasks (the stuff that runs your business while you sleep) • Same price as the last version: $5 in / $25 out per million tokens. You get the upgrade for free • Live right now across all platforms, including Claude Code Why I care: I run 5 businesses off systems built on this. Every jump in model quality means my agents get sharper and my costs stay flat. That's leverage. Build the asset once, let a better brain run it. If you're in here and haven't started building with AI yet, there's no better time. The tools just got better AND cheaper on the same day. Here is the official blog post from Anthropic Watch the "How to Set Up Claude Code" lesson in Classroom > AI Systems Playbook if you're starting from zero. Who's building something with it this week? Drop it below.

Yesterday I put money on the board with a real, packaged product from LuxCor. Not a custom build I quoted for weeks. A productized offer I could sell, deliver, and walk away from in a single day. Five hundred dollars in via Zelle, and the client was running the system themselves before dinner. I want to break down the mechanics, because this is the part nobody shows you. First, I built the thing before I sold it. Someone in my circle needed to solve one specific, expensive problem. Instead of pitching a vague AI solution, I built the actual working tool first: an AI agent that does a job they were doing by hand for hours. It runs on its own, twice a day, and delivers results automatically. I could show it working, not just describe it. Second, I productized it so I could hand it over instead of babysitting it. It is not a service I have to run for them forever. It is a system that lives in their own account, on their own keys, that they own and operate. My job was to build it and hand them the keys. That is the difference between selling my time and selling an asset. Third, I delivered it the same day, straight from a README. Here is the proof it is actually productized: on our call, the client installed it themselves by following the setup doc, added their own credentials, and ran it. First run pulled 206 results. I did not touch their machine. If the client can self-install from the instructions, you have a product, not a favor. Fourth, I anchored the price and gave a reason for the number. The standard rate is fifteen hundred. This one went out at five hundred as a founding, in-network rate, and in exchange they became my case study and testimonial. Everybody wins, and I have a receipt and a reference for the next one. The lesson: you do not need a big custom contract to start. You need ONE expensive problem, a small system that actually solves it, and the discipline to package it so the buyer can run it without you. That is a product. Products scale. Hours do not.

Boardroom, Quick win to share, and a lesson inside it. I just built and submitted my first deliverable through Upwork: a customer support AI chatbot for an outdoor apparel and camping store. It handles order tracking, returns and exchanges, product recommendations, and knows when to hand a customer off to a live agent. Here's the part I want you to take: I didn't reach for the fanciest tool. The brief said evaluators had to be able to test it with zero setup, no accounts, no API keys. So instead of some complex platform, I built the whole thing as a single self-contained file that just opens and works. Boring. Reliable. Exactly what the job needed. Two lessons in that: 1. The best solution is usually the simplest one that meets the actual requirement, not the most impressive one. I could have over-built it. The job didn't ask for that. 2. Shipping beats perfect. My first demo video ran too long, I found a bug while testing, I fixed it and re-recorded. None of it was clean the first time. I shipped it anyway, and now it's in front of a real evaluator instead of sitting on my laptop. That's the whole game. Build the real thing, fix it as you go, put it out there. What's one thing you've been overcomplicating that could probably be simpler? Drop it below. Trey

This weekend I was at AIS Live, a conference put on by one of the AI automation communities I've been a member of since November. I've been watching those builders' videos, following along, and building my own systems (and YouTube videos) off what I learned. This weekend I finally got in the room with the people doing it for real. Not influencers. Practitioners. People with actual clients, actual invoices, actual revenue from AI. Here's what separates them from everyone still "learning AI": 1. They sell outcomes, not automation. 2. Nobody buying a $3,000 system cares that it's n8n or Claude under the hood. They care that the lead who called at 7pm on a Friday got a callback in 90 seconds instead of never. Sell the saved deal, not the workflow. 3. They niche into boring industries. 4. The winners weren't building sci-fi. They were doing missed-call recovery for plumbers, intake for law firms, follow-up for realtors. Boring business + reliable AI = money. The flashy demos lose to the guy who picked one industry and solved one expensive problem. 5. They ship ugly and iterate with a paying client. 6. Every one of them started with a rough version 1 for a real business, often free or cheap, then let the client's complaints build the product. Nobody perfected anything in a lab first. 7. They're in the room. 8. This is the one that got me. I had the skills for months. The people making money were the ones posting their builds, asking questions, and connecting. Lurking is a tax you pay with lost time. So I tested it. I finally stopped lurking in that community and posted my own story: one hour a day since November, what it quietly turned into (voice agents, an operations system, my first client). That's it. One honest post. It got featured first in their weekly wins recap, then reposted into their main community of 426,000 members. Same work I'd been sitting on for 8 months. The only thing that changed was that I put it out there instead of hiding it. That is the entire lesson in one week.