Today the BBC officially turned 40 DAYS OLD! 🎉 This week I want to focus on highlighting the WINS & incredible posts from the members of our growing family. We had so many incredible threads. Please dive in, get involved and let's keep the energy growing here. The BBC is special because of you all. 🫶🏾 🏆 Community Wins! 1. @Elmo Anticamara created a really fun 24 Hour Challenge! 2. @Max Gibson and his family celebrated the birth of a new baby boy! 3. @Christina Joy officially launched her community! Show her some love. 4. @Samuel Kern won 2026 Top 100 Innovators and Entrepreneurs Magazine! 5. @Rodney Thompson Outdoor Skills went on his very first camp trip of 2026! 6. Also @Tim Adam's the American Ninja + pinterest king hit 900 MEMBERS!!!! 😮‍💨 🎊 The Best Posts From Our Family 1. @Max Gibson: 7 Voice AIs and app For Free! 2. @Iris Ocariza asked "Does burnout = being less human?" 3. @Anything Ai made an Official Mixtape of our BBC Playlist! 4. @Mike Montgomery asked the Best book you read in 2025? 5. @Alex Armstrong asked "Is Consistency Really The Problem?" 6. @Duncan Rogoff asked What’s one big lesson you learned in 2025? 7. @Eric Michaud shared how he got his first win with a free blueprint! 8. @Nick Nebelsky shared a powerful testimony of his journey in the BBC. 9. @Theresa Elliott what’s your “Hype” song or playlist for when you need motivation?

If you've been wanting to add voice AI to your project but can't decide which provider to use... I felt the same way. So I built something using my own 'Apex Spec System' (https://github.com/moshehbenavraham/apex-spec-system). It's called Voice Agent PuPuPlatter. (Yes, like the appetizer sampler at a Chinese restaurant.) One app. Seven voice AI providers. All in one tabbed interface. Here's what's included: → ElevenLabs (Widget + SDK modes) → OpenAI Realtime API → xAI Grok → Ultravox → Vapi → Retell You can switch between them instantly and compare the experience yourself. Each provider has: • Real-time transcripts • Audio visualization • Function calling demos • Automatic reconnection The UI is modern glassmorphism design. Works on mobile. Fully accessible. If interested, I also recorded a video tutorial series showing exactly how to set up your own ElevenLabs agent from scratch (links in the Repo). 5 videos. Step by step. Tech stack if you're curious: React 19 + TypeScript + Vite + Tailwind CSS 429+ tests included. Docker support for easy deployment. It's 100% free and open source. GitHub link: https://github.com/moshehbenavraham/Voice-Agent-PuPuPlatter Let me know which voice provider you've been eyeing!

Thank God!!! Like we said, hit the ground sprinting for the new year! 😉🤩

Skool is such a special place because of the people and the communities on this platform. So let's give our flowers while people can still smell them. 💐 Drop a comment: 1. Tag a person or community on Skool that has positively impacted you. (or a few!) 2. Then share HOW they helped, changed your thinking, encouraged you to be better, etc. 3. Respond to 3 people who tagged the same communities/people you respect too. Spread love! Winner: The member who spreads the most genuine love (most thoughtful responses) gets a free 1-on-1 Skool strategy call with me. Only available to Premium/VIP members starting next week. Go! 👇

UPDATE: I've added both Perplexity and Gemini Deep Research to this App and re-branded it "AI Search". I've also made some improvements to the codebase including tightening some security issues, cleaning out unused files and other updates. Here's the new repo location: https://github.com/moshehbenavraham/ai-search --- So I got a bunch of Tavily API credits for completing their course AND I wanted to show how to use a Boilerplate template to start apps. Combined this with a system (Claude Code Plugin) I've been developing the past couple of months I'm calling 'Apex Spec System' and I made a pretty awesome and good looking app. Complete open-source here: https://github.com/moshehbenavraham/ai-search How it works: - Phases → major feature groups - Sessions → focused implementation units - Specs → detailed requirements per session - Task checklists → 15-30 items to complete - Validation gates → quality checks before moving on The result: - 15 sessions across 3 phases - FastAPI backend + React frontend + PostgreSQL - Auth, CRUD, 4 Tavily operations, save results with metadata - ~15K lines of production-ready code - 2 afternoons The key insight: AI doesn't drift when it has clear scope, explicit constraints, and traceable progress. It's not magic—it's just structured prompting at the project level. Video below! Curious if anyone else is experimenting with structured AI dev workflows such as BMAD, Github Spec Kit, etc. What's working for you?