Scott Rippey built an entire Mac IDE by prompting AI — and then visualized a database schema as an interactive 3D model because reading text was too boring. Meanwhile Patrick's dashboard is quietly tracking 35 packages across 7 projects, and yes, the dashboard-vs-JSON-file debate lives on. If you missed last week's five-part marathon, you missed the single best argument for "log everything, experiment cheaply" we've ever had. 📞 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 was plotting his burner-domain + Instantly cold-outreach launch (TinySeed deadline is Sept 1-9!), Varun's challenge video has a ~3 week clock ticking, and Hemal is building that 100-conversation adversarial eval set — we'd love to hear how that's coming. Whether it's those or something brand new, bring it. 🔗 ZOOM LINK (save this) https://us06web.zoom.us/j/81995207847?pwd=Xe6u6LmIQOmCP5VTnOwWYjDBfZNKGB.1 📅 WHEN Tuesday September 8th at 6PM ET Looking forward to seeing you on the call!

📝 SUMMARY This week's builder/founder coaching call, led by Brandon Hancock, packed in cost-optimization strategy, agentic architecture patterns, and hands-on go-to-market playbooks. Brandon shared updates on EMS SOAP (slow enterprise sales, active fundraising, aggressive LLM cost-cutting) and his new 30-day challenge project Listio, while Patrick Chouinard gave a deep tour of his personal "agentic OS" built on Proxmox, Hermes, and a markdown-based knowledge graph. The rest of the call was hands-on peer coaching: architecture advice for Hemal's e-commerce AI co-pilot, a full GTM and fundraising playbook for Juan's AI photo booth, cold-outreach troubleshooting for Shakur, and career-positioning strategy for Varun. 💡 KEY INSIGHTS • Treat falling model costs as a strategic weapon: when a model gets 10x cheaper, reinvest the savings into 10x more product value (integrity checks, live QA) rather than pocketing margin. Expect this reset cycle every 6–8 months. • Model swaps can deliver 100x savings: Brandon ran the same classification task on DeepSeek v4 Flash for $3 vs. $350 on a frontier model — same intelligence, fraction of the cost. • A true agent reasons and acts in a loop; a pipeline of sequential LLM calls that just streams an answer is not "agentic." The distinction matters for architecture decisions. • Adversarial test sets first: before building any conversational system, generate ~100 adversarial synthetic conversations (easy, confusing, prompt-injection) with expected outcomes. Hemal lost two weeks skipping this step. • Start with the simplest architecture (one agent, many tools), measure failure modes, and only add orchestrators/sub-agents when failure data justifies the complexity. • Loop engineering: run agents through repeated cycles of hypothesis → experiment → analyze → fix → retest, journaling every experiment to a markdown file so context survives compaction. Review early cycles yourself, then let it run autonomously overnight. • Use cheap Chinese models (GLM, DeepSeek, Qwen) for internal experimentation; reserve American models (GPT-5.5, Gemini) for production-facing or HIPAA-regulated work.

👋 Hey there! Ready to supercharge your dev skills with AI? You're in the right place. Watch the intro video below for a walkthrough of our community and a peek at our AI-enhanced future. 🛠 CLASSROOMS: - Full Stack Development with AI: Where code meets cognition. Sharpen your skills and build AI-- powered apps. - CrewAI: Your squad for all things AI. Share ideas, collaborate on projects, and celebrate successes together. - Code Bugs & Project Issues: Debug like a pro. Get help on tricky bugs and offer your wisdom to others. - Monetize Your AI Dev Skills: From AI code to income: Collaborate, innovate, and monetize your dev skills! - YouTube Tutorial Requests: Please let me know what you want to learn more about when it comes to Fullstack Developement and AI. 📜 RULES: - Promotions are a no-no. Let's keep the focus on learning and growing. - We appreciate quality contributions. Enhance your posts with visuals and use ChatGPT for refining your content. - No talking about politics or religion. Go to X if you want to talk about that. - See something off? Help us maintain the community spirit by reporting any issues to me. 🥇 FIRST STEP: Introduce yourself with a post about your AI journey and what you're working on in the General Discussion group. **Bonus points for sharing a screenshot of your current app!** 🎯 ACTIONS: Be proactive, engage in discussions, and collaborate on group projects. 👩‍💻👨‍💻 Let's code, innovate, and thrive together!