Last week we watched an entire financial institution start negotiating for AI tokens instead of overtime — and one AI model accuse another of "cheating" in Shakur's "game of horse" experiment. If you missed it, that's reason enough to show up this week. And if you've ever wondered how much AI subscription spend is *too much*, Ty's ~$2,000/month stack sparked a debate you'll want in on. 📞 HOW THE CALLS WORK The calls can run 2+ hours. We want to make sure we're respecting everyone's time. Especially those of you who actually show up. Here's the structure: 👉 Reply to this post with your questions before the call 👉 If you submit a question and you're on the call, you go first 👉 We work through questions in the order they came in 👉 Then we open it up for everyone else If you can't make the call but want your question answered, drop it in the comments. We'll get to it. But priority goes to people who are there. The goal is simple: if you're taking the time to show up, you shouldn't have to wait behind questions from people who aren't even on the call. Plenty of threads still open from last week: Juan's working through the landing page question for attracting institutional clients, Patrick's FinOps dashboard is getting GitHub added next, and Shakur's planning to write up his model-vs-model experiment — plus Paul's "chief" session orchestrating multiple T3 threads is worth a deeper dive. Bring your questions, your follow-ups, or just your curiosity. 🔗 ZOOM LINK (save this) https://us06web.zoom.us/j/81995207847?pwd=Xe6u6LmIQOmCP5VTnOwWYjDBfZNKGB.1 📅 WHEN Tuesday October 20th at 6PM ET Looking forward to seeing you on the call!

📝 SUMMARY This week's call was a wide-ranging mix of infrastructure talk, business updates, and honest discussion about what it actually takes to scale AI usage. Members swapped notes on managing multiple AI subscriptions and their costs, Patrick Chouinard walked through leading a large enterprise Claude rollout at a Canadian financial institution (including the token-economy culture shift and employee confusion between models and "harnesses"), and Ty Wells shared progress on his Island Flow ERP/accounting product for Bahamas businesses plus a demo of a redesigned T3 interface with draggable widgets. Juan Torres reported on deploying his AI photo booth at a high school homecoming — Wi-Fi interference near a military base included — and the feedback that he needs a proper landing page to attract institutional clients. The group also dug into technical territory: Patrick's NTFY-based secure push-notification setup tied to Tailscale, his "AOE" (Agent Operated Environment) project, Ty's multi-machine Proxmox setup, and ChatGPT's "Dots" feature. A recurring theme throughout: the gap between AI power users running multi-agent setups and "normies" just getting started, and how to navigate the cost, confusion, and adoption challenges in between. 💡 KEY INSIGHTS Ty Wells (business owner) frames his ~$2,000/month in AI subscriptions as cheaper than hiring "a senior software architect, engineer, QA tester," justifying heavy usage. Brandon Hancock noted that after Codex's usage limits were cut in half, the subscription "isn't that good anymore," and he has been timing resets to maximize usage. Patrick Chouinard described enterprise Claude rollout dynamics: personal AI subscriptions are blocked entirely at his financial-institution client due to data privacy/audit requirements — all usage must go through the company tenant. Patrick observed a cultural shift at that client: employees used to negotiate over return-to-office days; now the key negotiating point is "which model can we access," with people requesting more tokens instead of overtime or pay.