Patrick's about to drop an open-source Community Brain preprocessing pipeline and test whether Claude Design can handle our chaos, while Juan prepares to demo an AI photo booth that actually delivers photos via QR code. If you missed the multi-model workflow magic—where Claude architects, Codex builds, and Gemini researches—you missed three AIs arguing about your code so you don't have to. 📞 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. Patrick will have updates on Claude Design and his Cohere meeting about multimodal embeddings, Juan is bringing the AI photo booth demo with QR code delivery, and Tom might have that Resend OTP implementation ready to show. If you were waiting to see the Community Brain pipeline go open source or Ty's Propria system hit GitHub, this could be your week. 🔗 ZOOM LINK (save this) https://us06web.zoom.us/j/81995207847?pwd=Xe6u6LmIQOmCP5VTnOwWYjDBfZNKGB.1 📅 WHEN Tuesday May 5th at 6PM ET Looking forward to seeing you on the call!

📝 SUMMARY Patrick Chouinard led this week's call featuring deep dives into member projects including a sophisticated RAG pipeline for community transcripts, a real-time personal intelligence system aggregating wearable data, and a military association membership platform. The session centered on multi-model development workflows, practical authentication strategies for small systems, and the critical importance of visual polish when demoing to non-technical customers. 💡 KEY INSIGHTS Multi-model workflows significantly improve output quality by reducing bias. Use Claude for architecture and ideation, Codex for creation and adversarial review, and Gemini for research. Each model catches the others' blind spots. For RAG systems processing conversational transcripts, standard chunking fails because topics start and stop non-linearly. Heavy pre-processing including topic re-aggregation and signal extraction delivers 99.9% of the value, not the embedding itself. Adding a three-sentence personality block to your Claude.md or agent.md files makes AI assistants push back on bad ideas with wit, dramatically improving user retention of feedback compared to corporate-sounding responses. When demoing to non-technical customers, visual polish matters more than backend scaffolding. These users will fixate on aesthetics and miss architectural value if the interface looks unfinished. For small closed systems with invited users, OTP or magic-link login is preferable to passwords. Users forget passwords constantly, and since you already verified their email during invitation, the magic link is both simpler and more secure. Use a dedicated email provider like Resend rather than Supabase's built-in email to avoid throttling delays. Google Cloud Platform's developer-centric complexity is actually advantageous when using AI agents like Claude or Codex to handle CLI commands, sidestepping the UX problems humans face. Adversarial code review using a different model finds bugs that same-model review misses. Using Codex to attempt to break code produced by Claude, then feeding findings back to Claude in a loop, is an effective finishing step.

👋 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!