Last week we watched a production cost drop from ~$1 per run to ~$0.09 with a single model switch — and somehow that wasn't even the best conversation of the night. Between RAG debugging war stories, a pendant recorder that logs your whole life, and the memorable line "humans are the bottleneck, not AI," there was a lot to chew on. If you missed it, the recap is worth your time — and Tuesday's call is where the follow-ups happen. 📞 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: Hemal's RAG model-flipping question is headed to the forum, Tim's security review with Ryan C is in motion, and Ty launches his ERP/business-advisor product on the 15th — the very day of this call. If you've got results, questions, or a "here's what happened next," bring it. And if you've been quietly configuring your AI to be more brutal and less agreeable, we want to hear how that's going. 🔗 ZOOM LINK (save this) https://us06web.zoom.us/j/81995207847?pwd=Xe6u6LmIQOmCP5VTnOwWYjDBfZNKGB.1 📅 WHEN Tuesday September 15th at 6PM ET Looking forward to seeing you on the call!

📝 SUMMARY This week's call packed a lot into one session, moving from practical debugging and cost-saving tactics to career mentorship and, finally, a genuinely thought-provoking discussion about staying active thinkers in an AI-curated world. Members shared hard-won lessons on RAG debugging and model selection, live demos of home-built observability tooling, and real numbers on cutting production costs by switching models. A recurring theme throughout was that technical skill alone isn't enough — whether you're hunting for paid AI work, scaling a business, or getting better answers from your tools, the edge comes from combining technology with domain knowledge, relationships, and deliberate intent. The conversation closed on a memorable framing: with models this capable, humans — not AI — are now the bottleneck on connecting insights, so it's on us to configure our tools to challenge us rather than comfort us. Whether you attended live or not, there's something here worth stealing for your own work. 💡 KEY INSIGHTS Set smart-model baselines first — otherwise you can't tell if failures come from the model, retrieval, or prompt. Check your RAG retrieval before blaming the LLM: junk in, junk out. Long agent sessions re-send the entire growing context (500k–800k+ tokens) each response, burning limits fast — one-shot requests are cheaper than always-on agents. Switching a production workflow fully to GLM 5.3 cut per-run cost from ~$0.80–$1.10 to ~$0.09 with no perceptible quality drop. Use OpenRouter's independent task-based model rankings (coding, agentic, etc.) as a starting point for comparisons. Build observability around your AI usage: track tokens, session status, and unresolved attention across agents — treat LLM usage like infrastructure needing monitoring. GPT's computer-use can functionally replace a QA hire — it finds bugs and proposes fixes for another model to implement. Astra (GPT-6/Codex) beat Fable on a multi-hour admin planning task, and is less restrictive for security audits.

👋 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!