Turns out you can build a brain that remembers 68 coaching calls for the price of a fancy coffee—Patrick proved that data prep beats model selection when he spent only $0.75 of his $30 budget on cleaning versus embedding. Now he's packaging that Community Brain for download, and several of us are plotting our escape from Claude Code to Codex. If you missed the great migration debate, you’ll want a front-row seat this week. 📞 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. We've got some serious follow-ups brewing: Patrick is bringing the Community Brain download ready for anyone who wants to index their own chaos, he and Paul are reporting back on their Codex $100 tier test drives, and Morgan is handing over those Raspberry Pi kiosk scripts to Juan and Paul. If you were curious about any of those rabbit holes, now's the time to dig deeper. 🔗 ZOOM LINK (save this) https://us06web.zoom.us/j/81995207847?pwd=Xe6u6LmIQOmCP5VTnOwWYjDBfZNKGB.1 📅 WHEN Tuesday May 12th at 6PM ET Looking forward to seeing you on the call!

📝 SUMMARY This week's roundtable featured Patrick Chouinard demonstrating his Community Brain RAG system that indexes 68 sessions of call transcripts, Juan Torres showcasing an AI photo-booth app for events, and Morgan Cook presenting a Raspberry Pi digital signage kiosk built over a weekend. The group also debated the shifting landscape between Claude Code and Codex, with several members planning migrations due to quality concerns and billing quirks. 💡 KEY INSIGHTS Data preparation beats model selection in RAG pipelines. Patrick found that cleaning and chunking transcripts cost only $0.75 of a $30 total spend, while embedding model choice (Nomic vs Gemini) showed minimal difference when underlying data was solid. Hybrid retrieval is essential for conversational data. Combining BM25 keyword search with vector search significantly outperformed either method alone when querying call transcripts. Small local models can reach 75-80% of frontier quality. With strong retrieval infrastructure, GPT-4o-mini and open-source alternatives approached Opus-level results at a fraction of the cost, though Gemma 4 struggled with complex retrieval logic despite its 30B parameters. Enterprise Claude Code requires configuration hardening. Deploy organizational settings.json files to supersede personal configs, and use seeded CLAUDE.md files to explain constraints rather than just blocking users. Watch for billing mode triggers. Mentioning competitor agent names like OpenClaw or Hermes in Claude Code sessions switches from subscription to API token billing. The Superpower framework now bridges Claude Code, GitHub Copilot, and Codex. This allows workflow portability as members evaluate switching between coding agents. Model default preferences are the new SEO. If a technology isn't in a model's training-weighted defaults, it effectively doesn't exist for AI-assisted development. ❓ KEY Q&A Q: What replaced ShipKit for the group? A: Most have moved to Claude Superpowers, which now works across Claude Code, GitHub Copilot, and Codex.

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